U.S. patent application number 14/603712 was filed with the patent office on 2015-07-23 for system and method for redeeming a discount.
The applicant listed for this patent is POMO SEARCH LTD. Invention is credited to Ian Cummins, Mark Joseph Cummins.
Application Number | 20150206165 14/603712 |
Document ID | / |
Family ID | 53545122 |
Filed Date | 2015-07-23 |
United States Patent
Application |
20150206165 |
Kind Code |
A1 |
Cummins; Mark Joseph ; et
al. |
July 23, 2015 |
SYSTEM AND METHOD FOR REDEEMING A DISCOUNT
Abstract
The present disclosure generally relates to a method and a
hardware and software system for collecting data from retail point
of sale. The hardware connects to a wide variety of barcode
scanners and receipt printers. Collected data is transmitted to a
cloud-based infrastructure backend system using a wireless internet
connection built into the hardware. The collected data can be
processed to extract item-level transaction information, and
estimate the price and in-stock status of items in particular
shops. A search engine can be provided using this data, which
allows a customer to discover which nearby shop has an item of
interest in stock. A targeted advertising system that complements
this search service is also presented. The data can be used by
retailers and manufacturers for business analysis and
optimization.
Inventors: |
Cummins; Mark Joseph;
(Charlotte Quay Dock, IE) ; Cummins; Ian;
(Donnybrook, IE) |
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Applicant: |
Name |
City |
State |
Country |
Type |
POMO SEARCH LTD |
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|
|
Family ID: |
53545122 |
Appl. No.: |
14/603712 |
Filed: |
January 23, 2015 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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61930603 |
Jan 23, 2014 |
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Current U.S.
Class: |
705/14.23 |
Current CPC
Class: |
G06Q 20/3276 20130101;
G06Q 30/0238 20130101; G06Q 20/203 20130101; G06Q 30/0256 20130101;
G06Q 30/0623 20130101; G06Q 20/209 20130101; G07G 1/14 20130101;
G07G 5/00 20130101; G07G 1/0045 20130101; G06Q 30/0222 20130101;
G06Q 20/202 20130101; G06Q 30/02 20130101 |
International
Class: |
G06Q 30/02 20060101
G06Q030/02; G06Q 20/32 20060101 G06Q020/32 |
Claims
1. A method of redeeming a discount, the method comprising:
presenting a discount offer to a customer; receiving an acceptance
of the discount offer; receiving a qualifying transaction signal at
a logger device communicatively interposed between a point of sale
system and a point of sale peripheral, wherein the qualifying
transaction signal represents at least one item amenable to the
discount; determining that the customer is present at the logger
device during the receiving the qualifying transaction signal; and
accounting for the discount.
2. The method of claim 1, further comprising providing a search
engine configured to accept queries for retail products and provide
search results based at least in part on a product inventory
determined at least in part by signals sent by the logger device,
wherein the presenting a discount offer comprises presenting the
discount offer in conjunction with the search engine.
3. The method of claim 1, wherein the point of sale peripheral
comprises a barcode reader, wherein the receiving a qualifying
transaction signal at the logger device comprises receiving, at the
logger device, a signal representing the at least one item amenable
to the discount from the barcode reader.
4. The method of claim 1, wherein the determining that the customer
is present at the logger device comprises receiving, from a mobile
device of the user, a signal representing the mobile device
scanning a code physically proximate to the logger device.
5. The method of claim 1, wherein the determining that the customer
is present at the logger device comprises determining, by the
backend system, an associated logger device by ruling out an
unassociated logger device that does not receive a signal
representing at least one item amenable to the discount.
6. The method of claim 1, wherein the determining that the customer
is present at the logger device comprises the backend system
receiving an identification signal initiated from a mobile device
of the customer.
7. The method of claim 6, further comprising identifying, by the
backend system, the logger device.
8. The method of claim 1, wherein the accounting for the discount
comprises sending, by the logger device, a signal representing a
barcode scan event to the point of sale system.
9. The method of claim 1, wherein the accounting for the discount
comprises electronically storing, at the backend system, a
representation of the discount in association with an
identification of the customer.
10. The method of claim 1, further comprising directing, by the
logger device, a redemption confirmation signal to a backend
system.
11. A system for redeeming a discount, the system comprising: a
logger device configured to be communicatively coupled to a point
of sale system and to a point of sale peripheral at a retail
location, wherein the logger device is further configured to
receive a qualifying transaction signal, wherein the qualifying
transaction signal represents at least one item amenable to the
discount; and a backend system comprising at least one electronic
processor, the backend system comprising a search engine configured
to accept queries for retail products and provide search results
based at least in part on a product inventory determined at least
in part by signals sent by the logger device; wherein at least one
of the logger device and the backend system are configured to
determine that a customer is present at the logger device when the
logger device receives the qualifying transaction signal.
12. The system of claim 11, wherein the backend system is
configured to present a discount offer to the customer in
conjunction with the search engine.
13. The system of claim 11, wherein the logger device is configured
to receive the qualifying transaction signal from a barcode reader
point of sale peripheral.
14. The system of claim 11, wherein at least one of the logger
device and the backend system is configured to receive a signal
from the mobile device representing the mobile device scanning a
code physically proximate to the logger device, whereby the at
least one of the logger device and the backend system is configured
to determine that a customer is present at the logger device.
15. The system of claim 14, wherein the backend system is
configured to determine that a customer is present at the logger
device by ruling out a point of sale system processing a
transaction not associated with the discount.
16. The system of claim 11, wherein the backend system is
configured to determine that a customer is present at the logger
device by receiving an identification signal initiated from a
mobile device of the customer
17. The system of claim 16, wherein the backend system is
configured to identify the logger device.
18. The system of claim 11, wherein the logger device is further
configured to account for the discount by sending a signal
representing a barcode scan event to the point of sale system.
19. The system of claim 11, wherein the backend system is
configured to account for the discount by electronically storing a
representation of the discount in association with an
identification of the customer.
20. The method of claim 11, wherein the logger device is configured
to direct a redemption confirmation signal to the backend system.
Description
RELATED APPLICATIONS
[0001] The present application claims priority to and the benefit
of U.S. Provisional Patent Application No. 61/930,603 entitled "AN
AUTOMATED DATA COLLECTION AND SEARCH SYSTEM FOR PHYSICAL GOODS" and
filed Jan. 23, 2014, the disclosure of which is hereby incorporated
by reference in its entirety. The present application is related to
U.S. patent application Ser. No. 14/603,587 entitled "SYSTEM AND
METHOD FOR POINT OF SALE TRANSACTION LOGGING" filed concurrently
herewith.
FIELD
[0002] This disclosure relates generally to retail transaction
management.
BACKGROUND
[0003] In the most general sense, searching for information on the
web is well-known. However, some information is still unavailable
online, such as information identifying local shops that stock an
item of interest. For example, a customer looking for an uncommon
item (e.g., a foreign brand of soft drink) might not have any idea
which shop will carry the item. Similarly, a customer might have
difficulty finding a store that has a high-demand item currently in
stock. It would be very useful in these circumstances if the
customer could search the inventory of local shops with the same
ease with which they can search the web.
SUMMARY
[0004] According to some embodiments, a method of redeeming a
discount is presented. The method includes presenting a discount
offer to a customer, receiving an acceptance of the discount offer,
receiving a qualifying transaction signal at a logger device
communicatively interposed between a point of sale system and a
point of sale peripheral, where the qualifying transaction signal
represents at least one item amenable to the discount, determining
that the customer is present at the logger device during the
receiving the qualifying transaction signal, and accounting for the
discount.
[0005] Various optional features of the above embodiments include
the following. The method may include providing a search engine
configured to accept queries for retail products and provide search
results based at least in part on a product inventory determined at
least in part by signals sent by the logger device, where the
presenting a discount offer includes presenting the discount offer
in conjunction with the search engine. The point of sale peripheral
may include a barcode reader, where the receiving a qualifying
transaction signal at the logger device includes receiving, at the
logger device, a signal representing the at least one item amenable
to the discount from the barcode reader. The determining that the
customer is present at the logger device may include receiving,
from a mobile device of the user, a signal representing the mobile
device scanning a code physically proximate to the logger device.
The determining that the customer is present at the logger device
may include determining, by the backend system, an associated
logger device by ruling out an unassociated logger device that does
not receive a signal representing at least one item amenable to the
discount. The determining that the customer is present at the
logger device may include the backend system receiving an
identification signal initiated from a mobile device of the
customer. The method may include identifying, by the backend
system, the logger device. The accounting for the discount may
include sending, by the logger device, a signal representing a
barcode scan event to the point of sale system. The accounting for
the discount may include electronically storing, at the backend
system, a representation of the discount in association with an
identification of the customer. The method may include directing,
by the logger device, a redemption confirmation signal to a backend
system.
[0006] According to some embodiments, a system for redeeming a
discount is presented. The system includes a logger device
configured to be communicatively coupled to a point of sale system
and to a point of sale peripheral at a retail location, where the
logger device is further configured to receive a qualifying
transaction signal, where the qualifying transaction signal
represents at least one item amenable to the discount, and a
backend system including at least one electronic processor, the
backend system including a search engine configured to accept
queries for retail products and provide search results based at
least in part on a product inventory determined at least in part by
signals sent by the logger device, where at least one of the logger
device and the backend system are configured to determine that a
customer is present at the logger device when the logger device
receives the qualifying transaction signal.
[0007] Various optional features of the above embodiments include
the following. The backend system may be configured to present a
discount offer to the customer in conjunction with the search
engine. The logger device may be configured to receive the
qualifying transaction signal from a barcode reader point of sale
peripheral. At least one of the logger device and the backend
system may be configured to receive a signal from the mobile device
representing the mobile device scanning a code physically proximate
to the logger device, such that the at least one of the logger
device and the backend system is configured to determine that a
customer is present at the logger device. The backend system may be
configured to determine that a customer is present at the logger
device by ruling out a point of sale system processing a
transaction not associated with the discount. The backend system
may be configured to determine that a customer is present at the
logger device by receiving an identification signal initiated from
a mobile device of the customer. The backend system may be
configured to identify the logger device. The logger device may be
further configured to account for the discount by sending a signal
representing a barcode scan event to the point of sale system. The
backend system may be configured to account for the discount by
electronically storing a representation of the discount in
association with an identification of the customer. The logger
device may be configured to direct a redemption confirmation signal
to the backend system.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008] Various features of the embodiments can be more fully
appreciated, as the same become better understood with reference to
the following detailed description of the embodiments when
considered in connection with the accompanying figures, in
which:
[0009] FIG. 1 is a schematic diagram of a point of sale logger
device installation according to some embodiments;
[0010] FIG. 2 is a schematic diagram depicting internal components
of a point of sale logger device according to some embodiments;
[0011] FIG. 3 is a schematic diagram of several communication bus
configurations of a point of sale logger device according to some
embodiments;
[0012] FIG. 4 is a high-level schematic diagram of a system and
method according to some embodiments;
[0013] FIG. 5 is a flowchart depicting a method for logging
transactions according to some embodiments;
[0014] FIG. 6 is a flowchart depicting a method of redeeming a
discount according to some embodiments;
[0015] FIG. 7 is a schematic diagram of several techniques for
establishing customer proximity to a logger device according to
some embodiments;
[0016] FIG. 8 is a schematic diagram of a technique for translating
a discount code to an accounting code according to some
embodiments;
[0017] FIG. 9 is an example screenshot of a search engine according
to some embodiments;
[0018] FIG. 10 is an example screenshot of example search results
according to some embodiments;
[0019] FIG. 11 is an example screenshot of example product details
according to some embodiments; and
[0020] FIG. 12 is an example screenshot of example store details
according to some embodiments.
DESCRIPTION OF THE EMBODIMENTS
[0021] Reference will now be made in detail to example
implementations, illustrated in the accompanying drawings. Wherever
possible, the same reference numbers will be used throughout the
drawings to refer to the same or like parts. In the following
description, reference is made to the accompanying drawings that
form a part thereof, and in which is shown by way of illustration
specific exemplary embodiments in which the invention may be
practiced. These embodiments are described in sufficient detail to
enable those skilled in the art to practice the invention and it is
to be understood that other embodiments may be utilized and that
changes may be made without departing from the scope of the
invention. The following description is, therefore, merely
exemplary.
[0022] Some embodiments solve longstanding problems relating to
searching for in-stock items in local stores. Thus, some
embodiments provide customers with the ability to input the name or
description of an item as a search query into a search engine app
executing on their smartphone (or other mobile device) and be
presented with a map or list of local shops which have (or are
likely to have) the item in stock, along with relevant ancillary
information such as price, shop opening hours and directions,
number of items left in stock, product reviews,
delivery/collect/reserve options, etc.
[0023] There are a few existing services that attempt to partially
address the local product search problem; however they each have
significant shortcomings. A small number of major retailers provide
an inventory search service on their websites. However, this
single-retailer search is of limited use to a customer who wishes
to search for an item across multiple retailers simultaneously.
Some services (e.g., Milo.com and eBay Now) permit customers to
search across several retailers simultaneously. However, the data
in these services is obtained by integrating with the existing
inventory systems of a small number of large retailers. Thus, data
from small local stores is absent.
[0024] There is another class of service, exemplified by
Goodzer.com, that work by crawling the websites of retailers,
extracting product information and store address details, and then
making the assumption that any product listed on a retailer's
website will be available for sale in-store. While this approach
provides the appearance of much greater coverage, it has
significant limitations. First, it is often not true that all
products listed on a retailer's website will be available in every
store. Items may be out of stock, available only in larger stores,
no longer carried, etc. Second, online and in-store pricing may
differ. Third, the process of automatically extracting information
from retailer websites is subject to error. Finally, only a small
fraction of stores have a website that lists their product
catalogue. All stores without such a website are invisible to these
services.
[0025] Some newer-generation payment providers and/or point of sale
systems are now integrated with an online presence. A typical
offering is Square Market from Square Inc. In such systems,
retailers have the option to automatically list for sale online
inventory they enter into their in-store point of sale system. A
limitation is that retailers must replace their point of sale
systems to avail of this service, which may be highly disruptive
and expensive for the retailer.
[0026] Embodiments described herein solve the above-described
problems. To do so, some embodiments utilize a hardware logger
device that the retailer attaches to both their cash register and
to their barcode scanner and/or receipt printer. Once installed,
the logger device may operate without any retailer intervention.
The logger device may use its internal internet connectivity to
transmit the information associated with each retail transaction to
a cloud-based infrastructure backend system. The information
transmitted may include time of transaction, barcode numbers and/or
the data sent to the receipt printer from which can be extracted
information relating to product name and price. By capturing the
stream of transaction information from a store using this logger
device, over time, the backend system may build up a complete
picture of the items sold in store. It is also possible to obtain
an estimate of the in-stock status of a given item at a particular
time. A detailed description of the components of the system
follows.
[0027] FIG. 1 is a schematic diagram of a point of sale logger
device installation according to some embodiments. In particular,
FIG. 1 depicts a typical point of sale arrangement 102, including a
point of sale system (here, a cash register) 106 communicatively
coupled, e.g., via a universal serial bus (USB) cable, to a point
of sale peripheral (here, a barcode scanner) 108.
[0028] Barcode scanner 108 may be a known piece of retail equipment
that reads a barcode on a product package and transmits a
corresponding barcode datum to the point of sale system. The
barcode may be a one-dimensional barcode, a quick response (QR)
code, etc. The barcode datum is typically unique to a particular
product and common across all retailers (with limited exceptions).
In general, barcode scanners are quite diverse: they come in a wide
variety of shapes and sizes and operate on a variety of different
physical principles.
[0029] In the typical point of sale arrangement 102, barcode
scanner 108 is connected as a point of sale peripheral to point of
sale system cash register 106 using a cable. Several cable types
are in common use; the most common are USB cables, serial cables
and PS/2 cables. In the case of USB and serial cables, the barcode
datum may be transmitted over the cable in a variety of different
message formats.
[0030] FIG. 1 also depicts a point of sale arrangement 104
according to some embodiments. In such an arrangement, logger
device 110 is inserted between the barcode scanner and the point of
sale system. Thus, the barcode scanner cable is connected to logger
device 110, which is in turn connected to the point of sale system,
e.g., by another cable, which may be permanently attached to, or
removable from, logger device 110. When logger device 110 is
installed, barcode scanner 108 can still communicate with the point
of sale system cash register 106 as normal (and vice versa). As
elaborated upon herein, according to some embodiments, a function
of logger device 110 is to make a copy of any data that is
transmitted from barcode scanner 108 to cash register 106 (and vice
versa).
[0031] In some circumstances, logger device 110 may also receive
data from barcode scanner 108, process the data, and transmit
modified data to the cash register 106. This permits certain
features of a discount handling system as presented elsewhere
herein. Logger device 110 may also internally generate a message
for transmission to cash register 106, which cash register 106 may
interpret as a message from the barcode scanner.
[0032] Logger device 110 also has a connection to the internet.
Logger device 110 may use its internet connection to periodically
transmit recorded data (in raw or processed/summarized form) to a
cloud-based server backend system, along with meta-data such as
when and where the data was recorded. Transmission may happen every
second, every 10 seconds, every minute, every hour, daily, etc.
Transmission may also be triggered by some other criteria, e.g.
after a certain period of inactivity, or once a certain number of
barcodes or other data have been collected.
[0033] Although logger device 110 is depicted as connected to
barcode scanner 108 in FIG. 1, in some embodiments, it may be
connected to a receipt printer in addition or instead. A logger
configured for receipt printer connection may be identical or
similar to the logger for barcode scanners. One reason to log data
from a receipt printer in addition to from a barcode scanner is
that it provides additional information about a transaction, such
as item prices and product names.
[0034] FIG. 2 is a schematic diagram depicting internal components
of a point of sale logger device according to some embodiments.
Logger device 202 may be point of sale logger device 110 of FIG. 1,
for example. Logger device 202 may be housed in a small unobtrusive
enclosure of plastic and/or metal, for example. The enclosure may
include a bracket or region receptive to double-sided tape, for
example, to secure logger device 202 to a fixture at a point of
sale. Suitable fixtures include, for example, a cash register to
which logger device 202 is communicatively coupled.
[0035] Logger device 202 includes several internal components. For
example, logger device 202 includes one or more electronic
processors 202 configured to at least partially implement certain
methods disclosed herein. Logger device 202 also includes one or
more power supplies 216, sufficient to power components internal to
logger device 202. Alternately, or in addition, logger device 202
may be coupled to a power source such as a wall outlet. Logger
device 202 also includes a programming and debugging interface 218,
which may be connectable to a computer for purposes of programming
and testing. Logger device 202 also includes memory 214, which may
include persistent (e.g., flash) and/or volatile (e.g., DRAM or
SRAM) memory devices.
[0036] Logger device 202 also includes internet connection hardware
212, which enables it to connect to the internet. Several
alternative designs are possible. One option is for logger device
202 to contain a built-in cellular modem. An alternative design is
for logger device 202 to contain a built-in WiFi chip and utilize
an external WiFI network, e.g., as provided by the retailer. Yet
another possibility is to use a hotspot design: the hotspot may be
a separate device that contains a built-in cellular modem and is
able to share this connection with other nearby devices by means of
WiFi or some other short-range communications technology (e.g.
Bluetooth, ZigBee), and logger device 202 includes hardware that
permits such short-range communications with the hotspot. In such
an arrangement, logger device 202 may connect to the internet via
the hotspot. Note that any information logger device 202 transmits
over the internet may be encrypted and/or digitally signed to
guarantee its authenticity and prevent various types of system
tampering.
[0037] Logger device 202 also includes ports 204 and 206 for
coupling logger device 202 to a point of sale system (e.g., a cash
register) and to a point of sale peripheral (e.g., a barcode
scanner). As previously described, there are several common cable
systems used to connect barcode scanners to point of sale cash
registers. Logger device 202 may include ports configured to couple
to any of a variety of cable types. In some embodiments, logger
device 202 may be designed for one cable type (e.g., USB
connections), and be sold together with converters that allow it to
work with the other cable types.
[0038] Logger device 202 is able to obtain a copy of messages
traveling on communications bus 208 that exists between the point
of sale peripheral and the point of sale system (e.g. the USB bus
in the case of the USB logger). Logger device 202 may do so without
disrupting the communication between the point of sale system and
the point of sale peripheral. There are three basic options for how
this can be achieved: in-series connection to bus 208, in-parallel
connection to bus 208, or by sampling from bus 208 without
participating in the bus protocol. FIG. 3 below elaborates on such
options.
[0039] FIG. 3 is a schematic diagram of several communication bus
configurations of a point of sale logger device according to some
embodiments. Each connection option 308, 310, 312 has associated
advantages.
[0040] Option 312 represents that logic 304 of logger device 302
may sample from bus 306 without participation in bus
communications. Option 312 thus offers the lowest chance of
disrupting communication between the barcode scanner and the point
of sale system. In this design, logger device 302 passively samples
from the bus, for example, using an analogue-to-digital converter.
Logger device 302 can reconstruct a copy of the communications
between the barcode scanner and the point of sale system, but
cannot participate in the communications.
[0041] Option 310 represents that logic 304 of logger device 302
may obtain a copy of messages on bus 302. An advantage of this
design is that logic 304 of logger device 302 can insert its own
messages onto bus 306.
[0042] Option 308 represents that logic 304 of logger device 302
may receive messages from the barcode scanner and then re-transmit
them to the point of sale system. This design allows logger device
302 to receive a message from the barcode scanner, process it, and
send a modified message to the point of sale system. This ability
is useful in some scenarios.
[0043] FIG. 4 is a high-level schematic diagram of a system and
method according to some embodiments. In broad terms, the system
includes data collection stage 402, backend storage and processing
stage 404, and service stage 406. Data collection stage 402
automatically collects local product inventory information. Backend
storage and processing stage 404 processes, stores on a backend
system, and then uses the local product inventory information at
service stage 406 to provide services to the public, merchants,
manufacturers and distributors.
[0044] A component of data collection stage 402 is a hardware
logger device (e.g., 110 of FIG. 1, 202 of FIG. 2, 302 of FIG. 3)
which can collect transaction data from a wide variety of retail
point of sale systems. The logger device can be inserted between a
point of sale system such as a cash register and a peripheral such
as a barcode scanner or receipt printer. The logger device allows
normal communication between the point of sale system and the
peripheral, while recording data transmitted in either direction.
The logger device uses an internal internet connection to send the
recorded data (or processed versions of it) to a remote server
infrastructure backend system. The transmitted data may be
augmented with additional information such as the time and location
at which it was recorded, etc. The logger device may be widely
compatible with existing retail equipment and can be installed
without requiring any existing equipment to be replaced.
[0045] Backend storage and processing stage 404 uses processing
techniques to extract or estimate key information using the logged
data. Information to be extracted may include, by way of
non-limiting example, any, or a combination, of: barcode number,
product name, price of items sold, time and location of sale, the
sets of item sales that form a single customer transaction,
detection of non-sales events (such as refunds, returns, discount
redemptions, etc.), an estimate of whether or not an item is in
stock in a store at a particular time and/or the number of units of
each item in stock, any other ancillary information that might be
useful for analysis (e.g., logger identification, name of cashier,
customer loyalty program membership, etc.), and generic information
about the store that can be determined by analysis of the logged
data, e.g., opening hours, top-selling products, etc.
[0046] Backend storage and processing stage 404 may use any of a
variety of processing techniques to extract the above data. Example
processing steps include any, or a combination, of: synchronizing
logs from multiple logger devices so that information from multiple
loggers which relates to the same transaction can be combined,
detecting the encoding of the logged data and converting to a
standardized format, complex decoding processes such as applying
optical character recognition (OCR) to extract text from printer
logs, and determining the product name, image and other information
corresponding to a barcode number. The latter may involve any, or a
combination, of several sub-methods, such as: use of data
providers, extraction of information from the web, crowd-sourced
data from customers and/or other manual processing, and
determination of the name based on logs from receipt printers
across many shops, possibly in combination with external data such
as the web and/or language models.
[0047] Service stage 406 may include any of a variety of services.
An example service is providing a search engine that permits
customers to search among the collected and processed data. The
search engine may be presented on a publicly-available web page.
Such a search engine may allow customers to determine which
retailers sell a product of interest, along with key information
such as price, in-stock status, store location and opening hours,
product image, details and reviews, etc. Note that customer
searches need not be for a specific product, but might be for a
more general need such as "umbrellas" or "gluten-free food", etc.
Advertisements for products or discounts may be presented on the
same web page or app screen as the search engine.
[0048] Another example service is providing a webpage, app, or
online store automatically constructed for each retailer using the
collected and processed data. Such a web page, app, or online store
may present items available for sale by the retailer.
[0049] Another service is providing analysis tools for retailers,
product manufacturers and others utilizing the collected and
processed data. There are a large number of uses for the collected
data, for example: real-time sales tracking, measurement of the
impact of advertising campaigns, short term demand prediction, etc.
The data may also suggest optimization possibilities for retailers
or manufacturers, for example: identification of products that
might sell well in a particular store that are not currently sold
there, identification of items typically bought together can be
used to guide better in-store item placement, etc. The data may
also be of interest to financial market participants, for example
as a real-time indicator of product sales or as a macroeconomic
signal for inflation measurement, etc.
[0050] The search engine may benefit from any of a variety of
revenue models. For example, the search engine may utilize
pay-per-visit advertising, in which an advertiser pays only when a
customer physically visits a particular store/stores in response to
an ad. As another example, the search engine may utilize a
reservation-based model, in which the retailer pays when a customer
reserves a product for purchase via the disclosed system and
subsequently visits the store (with or without verification of item
purchase). As yet another example, the search engine may integrate
with a system for discount-based advertising utilizing the logger
device for processing discount redemption. The discounts may be
targeted and individualized based on the customer's usage of the
search service.
[0051] These and other example services are described in detail
herein in reference to FIG. 6, below.
[0052] FIG. 5 is a flowchart depicting a method for logging
transactions according to some embodiments. The method may utilize
a logger device as presented herein (e.g., 110 of FIG. 1, 202 of
FIG. 2, 302 of FIG. 3).
[0053] At block 502, the logger device is coupled to a point of
sale system and to a point of sale peripheral. The point of sale
system may be, e.g., a cash register. The point of sale peripheral
may be, e.g., a barcode scanner, a receipt printer, or a credit
card terminal. A store employee may couple the logger device to the
point of sale system and to the point of sale peripheral.
[0054] At block 504, the logger device establishes a connection to
the backend system. As described above in reference to FIG. 2, the
connection may be implemented using the logger device's internet
connection hardware 212, e.g., by way of a cellular model, a WiFi
connection, or a hotspot. The logger device may establish the
connection automatically, upon connection to the point of sale
system and/or the point of sale peripheral.
[0055] At block 506, the logger device obtains point of sale data.
In general, the logger device records the messages sent between the
point of sale peripheral and the point of sale system. Thus, the
point of sale data may be in raw form. Such messages may encode
information of interest in various different ways.
[0056] For barcode scanner point of sale peripheral, there are
multiple different encodings in which a barcode scanner may send
data to the point of sale system. For example, it may use a
standard such as USB human interface device (HID), or it may be
transmitted in a manufacturer-specific encoding. The logger device
(or backend system) may process the logged data to automatically
determine the encoding and extract the information of interest
(e.g., barcode numbers). There are many signals may be used to aid
in this process (e.g., format identifiers, barcode checksums,
knowledge of the format determined using previous transactions from
the same logger, cross-referencing with information from the
receipt printer, manual intervention, etc).
[0057] For a receipt printer point of sale peripheral, more complex
processing may be used to extract data from receipt printer logs.
Data sent to a printer may correspond to a direct encoding of text,
in variety of formats. In these cases the logger device (or backend
system) may detect the encoding and convert the text present in the
receipt to a standard format. However, the information sent to the
printer may encode an image of the text, e.g., a bitmap. In these
cases optical character recognition (OCR) may be used to recover
the receipt text.
[0058] At block 508, the logger device extracts product
information. Thus, once the receipt text has been recovered, the
logger device (or backend system) may apply further processing to
determine what parts of the text specify information of interest
(e.g., product names and prices) and which parts are irrelevant
(e.g., "thanks for shopping with us"). To do this, the logger
device (or backend system) can again use a variety of signals
(e.g., textual signals, receipt templates inferred from multiple
transactions in the same retail outlet, known number and/or name of
items in transaction based on information from the related barcode
scanner log, manual intervention, etc.).
[0059] As part of block 508, the logger device may augment the
product information. This may be performed even if the backend
system performs other portions of block 508. In some embodiments,
the augmentation may be omitted. The supplemental information may
include any, or a combination, of: product name, price of items
sold, time and/or location of sale, the sets of item sales which
form a single customer transaction, detection of non-sales events
such as refunds, returns, discount redemptions, etc., any other
ancillary information which might be useful for analysis (e.g.,
logger device identification, name of cashier, customer loyalty
program membership, etc.), and generic information about the store
that can be determined by analysis of the logged data, e.g.,
opening hours, top-selling products, etc.
[0060] At block 510, the system synchronizes the transaction with
the logger device. Note that a single retail location may include
multiple logger devices, and the logger devices may communicate
with the backend system independently. The backend system may
synchronize two or more streams of data (from the barcode scanner
and receipt printer, for example) so that the backend system may
correctly associate which portions of the barcode scanner and
receipt printer logs correspond to the same individual retail
transaction. This synchronization process may use a variety of
signals (e.g., timestamps, or other properties of the transaction
data such as number and kind of item present, etc.)
[0061] At block 512, the logger device directs the
possibly-augmented product information to the backend system. The
logger device may utilize its internet connection to do so. To that
end, each logger device may be coded with a uniform resource
locator (URL) for the backend system.
[0062] At block 514, the backend system associates product
information with product names. This block may be used in the
context of a search engine such that customers may search for
product names rather than barcode numbers. In general, there is no
master database which provides a name and picture for a product
with a given barcode. Several databases do exist, however, their
coverage is only partial. Thus, some embodiments use a mixture of
techniques.
[0063] Thus, block 514 may obtain initial information by referring
to existing databases. This information may be augmented using web
search together with data extraction technology. It is often the
case that different databases and extraction techniques provide
names and image candidates that do not agree. In such instances,
the process may select or synthesize the best name and image for
the item by applying machine learning techniques to the aggregate
data.
[0064] If no information is available in existing databases or
anywhere on the web, the process may use the unique data provided
by the logger device. More particularly, the process may scrutinize
the aligned barcode scanner and receipt printer logs to determine
name candidates for a given barcode. Using the information from
logs across multiple shops, the process may have many such name
candidates for a given barcode number. The process can then infer a
name for the item by combining these name candidates with various
signals. For example, a simple approach may simply select the most
common name. Better results may be achieved using external signals
such as language models or information from the web. Thus, name
information for barcodes may be determined even when they are not
present anywhere online or any of the existing databases.
[0065] Another source of barcode name information is available from
crowd-sourcing. A retailer using the system may manually enter
information or correct any errors in the backend data. In some
embodiments, the association data between barcodes and product
names may be performed or supplemented using such a manual
procedure.
[0066] To conclude block 514, the backend system may store a record
to the data relating to the transaction, including product name,
cost, time of purchase, etc.
[0067] At block 516, the backend system estimates product
inventory.
[0068] Note that the product data represents a record of
transactions taking place in a store, but does not directly provide
knowledge of whether or not a given item is currently in stock in
the store. However, such information is of interest to customers of
the system. Therefore, the process may estimate inventory
information based on analysis of the transaction records. There are
many signals may be used to estimate the in-stock status of an
item.
[0069] One signal, referred to as "zero scan", involves detecting a
sudden drop in transaction volume for an item. For example, if the
process determines that a store typically sells ten loaves of bread
per hour, and it notes that sales of bread fall to zero for an
unusually long period, the process may infer that it is out of
stock. This can be refined with knowledge of typical
daily/weekly/monthly sales patterns for items.
[0070] An additional or alternative method is to directly estimate
the number of items still in stock. One way to this is for the
retailer to perform a special scan of items when restocking them.
Another approach is attempt to estimate stock levels without
retailer intervention. For example, a retailer selling biscuits
might receive from their supplier a shipping container with 20
consumer-sized packages of biscuits. Aware that this product comes
in shipping containers of 20 items, the process may infer that it
is out of stock once it observes that 20 items have been sold. Even
for items where the process does not know the size of the standard
shipping container, or for which are not sold in standard
quantities, the process can estimate how many items a retailer
typically places on display at one time by observing quantities of
the item sold between successive zero scans. These estimates may be
improved by combining information across shops.
[0071] Further, the process may let a customer know that they
should check directly with the store. For example, the process may
provide the store phone number, e.g., on an app of the customer's
mobile device. An alternative to the customer phoning the store
would be an approach where the customer presses a button to
indicate that they are interested in the in-stock status of an
item. The process may then deliver an alert to the retailer which
they can answer by means of a similar button-push on a mobile
device app.
[0072] As part of block 516, the process may estimate other store
characteristics. That is, the process can determine some key
information about the store from analysis of the logged data as a
whole. For example, the process can automatically estimate opening
hours by looking at the times when point of service transactions
typically begin and end. The process can also automatically
determine the category of the store (e.g., grocery store, bike
store, etc.) based on the inventory it carries.
[0073] At block 518, the process provides a store website. That is,
the process may automatically construct a website or online store.
Unlike existing offerings, this process is much easier using the
disclosed process. The retailer simply plugs in the logger device,
and their online store will be automatically constructed, complete
with product names and images for most items. This is substantially
more convenient than existing solutions that require more manual
work by the retailer and/or more invasive changes to their in-store
point of sale hardware.
[0074] At block 520, the process provides a search engine based on
the obtained product data. Such data can be combined with existing
data from large retailers to achieve better coverage. The search
engine may be presented on a web page or mobile device app, and
allow a customer to enter a search query (e.g., the name or
description of a product) and obtain search results representing
where that product is available for sale. The process may perform a
variety of techniques to improve the customer search experience,
for example: spelling correction, query expansion or refinement,
handling of synonyms, optional terms, result diversity tuning,
various machine learning techniques for ranking, etc.
[0075] The quality of the obtained product data may provide some
additional search engine possibilities which have not been
previously available. For example, the sales popularity of an item
may be a useful ranking signal for the search results. Further, the
process provides access to sales data at a fine-grained level that
was not previously available. For example, if a customer searches
for "cola", having access to the relative sales of various brands
of cola in a particular geographic area may allow the process to
determine which one is likely most relevant to the customer given
their geographic location. The process may also have novel sources
of information on item popularity by time of day, items frequently
bought together, item popularity versus weather conditions, etc.
All these signals may be useful in search and also in targeted
advertising applications.
[0076] There are several revenue models that may complement to the
search service. Note that the term "advertisement" as used herein
refers collectively to both standard promotional messages and the
discount offers described in detail herein.
[0077] A first model, direct sales, is to offer the customer the
option to directly buy an item when they find it in search results.
The item might then be available for collection from the local
store, or delivered to the customer. The process may generate
revenue by charging retailers a fee for each item sold.
[0078] A second model, reservation service, offers the customer the
ability to reserve an item they find via the search engine. In this
service, the retailer may place the item aside to guarantee that it
is available for the customer to purchase when they visit the
store. The sales transaction may be completed at the store. The
process may charge the retailer or the customer a fee for this
reservation service.
[0079] A third model is pay-per-impression and pay-per-click
advertising. In such a model, if a customer searches for a product,
the search engine can display relevant advertising (as determined
by the search terms, customer profile, location, other signals,
etc.). The advertiser pays either when the ad is shown
(pay-per-impression), or when the customer clicks on the ad
(pay-per-click).
[0080] A fourth model, pay-per-visit advertising, the process
displays a relevant ad, e.g., on the same web page or app screen as
the search engine, when the customer performs a search. The ad
shown may promote a particular product range or a particular store.
The process may charge the advertiser when the customer physically
visits the relevant store (or in the case of a product, a store
where it is in stock), whether or not any purchase is actually
made. The physical visit can be verified by way of the customer's
mobile device, e.g., either by location collection using an app
provided to the customer, or by an in-store collection system with
knowledge of some other characteristic of the customer's mobile
device such as WIFI MAC address, Bluetooth Low Energy identifier,
information from a cellular picocell, etc.
[0081] A fifth model, described below in detail in reference to
FIG. 6, is pay-per-action advertising (discounts). In this model,
when the customer performs a search, a discount offer may be
presented to the customer. The advertiser pays only when the
customer makes a purchase using the offer. The process enables
novel discount offer possibilities. For example, it can distribute
the discount offers for free and charge the manufacturer only when
they are redeemed. It can also perform relevance-based targeting of
discount offers.
[0082] Note that discount offers traditionally are distributed in
broadcast fashion, for example printed in magazines. This provides
very limited ability to control the discount offer campaign.
Discount offers are also distributed online, which offers somewhat
better control. However, a key problem is that traditional discount
offers are "generic" in the sense that, once issued, it can be
redistributed in various ways and redeemed by anyone. As such, even
discount offers distributed online do not allow very precise
targeting. By contrast, each discount offer of some embodiments is
unique, valid only for a particular customer in a particular store
(or small set of stores). Once the customer redeems the discount
offer, it is no longer valid. It cannot be passed on to anyone
else. Unique discount offers may be created when the customer
performs a search and may be targeted to a very specific
circumstance in a way that traditional discount offers cannot. This
is possible because some embodiments control both the issue of
discount offers, and their redemption using logic built into the
in-store logger device.
[0083] The disclosed design offers a number of advantages. A issuer
of the discount offer can achieve much more precise control of
their budget, for example. As mentioned, they can also perform
precise targeting. For example, a brand could specify that discount
offers are presented only to customers matching some criteria, such
as location or demographics. The process may also restrict
distribution only to customers who have not previously redeemed a
discount for a given brand, or who have not done so for more than
some set period of time. A shop may similarly offer a discount
offer only to new customers or only to loyal customers. A shop may
also compete for business, for example, by offering a discount when
it appears in search results but is not the nearest store to a
customer stocking a given item. Similarly, a brand may offer a
discount when the customer searches for a generic term such as
"blender", but not when the customer searches for a product
specifically by name or brand. Discount offers can also be offered
in cross-promotional circumstances or in re-targeting scenarios,
such as offering discounts for garden fertilizer to people who have
recently searched for plant seeds, etc.
[0084] The above-discussed revenue models that complement the
search service may be applied in the context of the process of FIG.
6, described presently.
[0085] FIG. 6 is a flowchart depicting a method of redeeming a
discount according to some embodiments. According to some
embodiments, the discount may be a coupon. The method may utilize a
logger device as presented herein (e.g., 110 of FIG. 1, 202 of FIG.
2, 302 of FIG. 3).
[0086] At block 602, a discount offer is presented to a customer.
This may occur via prior art techniques for such offers, e.g.,
publication in magazines. However, according to some embodiments,
the offer is presented using a search engine as disclosed herein.
In such embodiments, the discount offer presented to the customer
may be unique, generated based on their search actions,
demographics, past purchase behavior, and any other relevance
signals. The discount offer may have very specific validity, for
example, limited to single physical retail location or product
purchase combination. The search engine might be available via a
website or mobile device app.
[0087] At block 604, the customer accepts the offer. The customer
action of accepting the discount offer might consist of a physical
action such as printing the offer, or an electronic action such as
a touch or gesture event within a mobile device app. The customer's
acceptance may be recorded at the backend system for later
verification. More particularly, the customer's acceptance may
include sending a message to the backend system, e.g., using a
customer's mobile device executing an app, where the message
includes an identification of the offer and the customer. Note that
this block is optional in some embodiments.
[0088] At block 606, the customer visits a retail store for which
the discount offer applies. This may be accomplished in a
conventional manner.
[0089] At block 608, a logger device (e.g., 110 of FIG. 1, 202 of
FIG. 2, 302 of FIG. 3) receives a signal representing a qualifying
transaction. This may be accomplished by the logger device
receiving a signal from an attached barcode reader representing a
scan of an item for which the discount applies. That is, this block
may occur when the customer (or retail employee) scans an item
amenable to the discount using a barcode scanner, and a connected
logger device (e.g., 110 of FIG. 1, 202 of FIG. 2, 302 of FIG. 3)
intercepts the resulting signal. According to some embodiments, the
logger device may communicate to the backend system that it has
received such a signal.
[0090] At block 610, the customer presents a representation of the
discount at the point of sale. Note that this block may be omitted
according to some embodiments. The representation may be an image,
e.g., bar code, printed on paper, or an image depicted on a display
of an electronic mobile device of the customer. The presence of
logger devices at the retail point of sale allows the process of
block 610 to be at least partially automated in several ways. This
has multiple benefits, including greater efficiency, reduced fraud
potential and a better ability to target discount offers.
Nevertheless, in general, the actions of this block may occur by
the customer scanning a barcode representing the discount on his or
her mobile device with a logger-device-attached barcode reader.
[0091] However, some barcode scanners lack the ability to read a
barcode from an electronic device screen. For example, some
laser-based barcode scanners can read a barcode only when it is
physically printed on paper, plastic, etc. Barcodes displayed on
computer screens typically cannot be read successfully by such
scanners. Barcode scanners with alternative designs (e.g.
charge-coupled-device-based and 2D imaging scanners) do not suffer
from this problem. However, laser-based scanners are widespread.
Some embodiments may accommodate for this potential problem as
described in reference to two cases below.
[0092] Case 1:
[0093] The point of sale includes a logger-device-attached barcode
scanner that can successfully read a barcode representing the
discount that the customer presents on a mobile device. In this
case, the customer simply presents their discount barcode
representation and the retailer scans it during the purchase
transaction. The logger device attached to the barcode scanner can
validate the discount and record its redemption. This case covers
various possibilities: (1) The customer has a discount
representation printed on paper, (2) The customer has a discount
representation in electronic form (e.g., on a mobile device app),
and the point of sale barcode scanner is able to read a barcode
from the smartphone screen, either because the barcode scanner uses
a technology such as a charge coupled device, or because the mobile
device has been modified for compatibility with other barcode
scanner technologies, for example.
[0094] Case 2:
[0095] The point of sale barcode scanner cannot read a barcode
discount representation that the customer presents on a mobile
device. The fact that the customer has a valid discount that they
wish to redeem may accordingly be determined by other techniques.
The customer may begin the process by indicating their desire to
redeem a discount via an action on their mobile device. There are a
number of different approaches that can be used to achieve this,
described as three sub-cases immediately below, and further
described in reference to FIG. 7 far below.
[0096] Sub-Case 1: Customer Device to Logger Device.
[0097] In this sub-case, the customer's mobile device (e.g.,
smartphone) transmits a message representing the discount directly
to the logger device by means of a short-range communications
technology (e.g., near-field communications, Bluetooth, Bluetooth
Low Energy, WiFi, etc). Sub-case 1 is further illustrated as
technique 702 in FIG. 7 below.
[0098] Sub-Case 2: Customer Device to Backend System, Backend
System to Logger Device.
[0099] In this sub-case, the customer's mobile device sends a
message representing the discount to the backend system
infrastructure via the internet. The backend system may then send a
message to the logger device at the point of sale. Sub-case 2 is
further illustrated as technique 704 in FIG. 7 below.
[0100] Sub-Case 3: Customer Device to Backend System, Logger Device
to Backend System, Backend System to Logger Device.
[0101] In this sub-case, the customer mobile device sends a message
representing the discount to the backend system. The logger device
also transmits a message to the backend system. The message sent by
the logger device may be initiated by some action taken by the
retailer when a customer wishes to redeem a discount. For example,
they may press a button on the point of sale logger device
hardware, or scan a special barcode. The backend system then sends
a message back to the logger device with the discount information.
Sub-case 3 is further illustrated as technique 706 in FIG. 7
below.
[0102] At block 612, the system determines that the customer is
present at the logger device during the transaction. Note that
functionality of this block at least partially overlaps with that
of block 610, such that for embodiments that employ block 610,
portions of either this block or block 610 may be omitted.
[0103] There are several techniques that may be used to determine
customer proximity to the point of sale. Such techniques include
using a wireless communications technology such as Bluetooth,
Bluetooth Low Energy (iBeacons), WiFi, NFC, etc. This may occur in
either direction, logger device to customer mobile device, or vice
versa. Such techniques are elaborated in reference to FIG. 7 below.
Alternately, the technique may include a passive process from the
customer's point of view, namely, logger devices or customer mobile
devices may transmit their unique identifier by default, so if the
backend system is apprised of the customer's unique identifier, it
may associate the two. Alternately, the technique may use sound,
for example, ultrasound. Thus, the logger device may emit a unique
ultrasonic pattern that an app executing on the customer's mobile
phone can detect, or vice versa. Alternately, the technique may
include the customer physically scanning some unique marker
proximate to the logger device, e.g., a QR code. Alternately, the
technique may include the logger device recognizing the customer's
mobile phone rather the vice versa. Alternately, the technique may
include the customer's mobile device providing position
information, e.g., using global positioning system (GPS).
Alternately, the technique may include the retailer confirming the
customer's presence by some manual action. Such manual action may
include, for example, the customer handing their phone to the
retailer and the retailer inputting a code to an app executing on
the customer phone to confirm customer proximity. Such manual
action may alternately include the retailer stamping the customer's
mobile device screen with a unique capacitive pattern. Such manual
action may alternately include a mobile device of the retailer
receiving a prompt, e.g., with an image of the customer.
[0104] An alternative method to determine at which point of sale
the customer is present may be for the logger device to collect the
identifier for a customer-associated payment method used in the
transaction. For example, if the logger device detects the
customer's credit card number, then the system can determine that
the customer is present when the payment method is used.
[0105] Yet another alternative to establishing customer proximity
may be implemented without the need for the customer to take action
on their mobile device to indicate their desire to redeem the
discount. In such an embodiment, the discount redemption could be
triggered automatically when the logger device or backend system
detects that the customer is in a store, has a valid discount, and
makes a qualifying transaction.
[0106] At block 614, the system accounts for the discount. This may
occur in any of several ways.
[0107] According to some embodiments, the backend system may store
representations of points or other indicia of a discount
application. The customer may redeem such points for cash directly
from the backend system, for example. Alternately, the customer may
apply the points to a subsequent transaction.
[0108] In some embodiments, in which the logger device obtains an
identification of the discount, processing may proceed as follows.
Given the unique identifier for the discount, the logger device may
verify the discount, ensure that items in the current transaction
are valid for discount redemption, and determine the way in which
the transaction total should be adjusted. This may be done by logic
internal to the logger device, or by communication with the backend
system. The logger device then transmits a message to the point of
sale system (e.g., cash register) to affect the necessary change to
the transaction total. This may be achieved by means of placing a
message on the communications bus that exists between the barcode
scanner and the point of sale system, which interprets it as a
barcode scan event. Alternately, additional hardware may perform
this step. The point of sale system can be configured by the
retailer to recognize a small set of barcodes as representing
discount events, e.g., "$1 off total", "$1.47 off total", "2 for 1
on last item scanned", etc. The logger device thus performs a
mapping between the very large set of unique identifiers for
discounts, and a small set of codes which specify how to modify the
transaction total. This mapping is described in further detail
below in reference to FIG. 8.
[0109] Alternately, in some embodiments, the retailer may adjust
the transaction total manually.
[0110] At block 616, a record of the discount redemption is sent to
the backend system. This block is optional according to some
embodiments. Nevertheless, if the point of sale system includes a
logger device as disclosed attached to a receipt printer, this
provides a communications channel by which a discount redemption
event may be reported. For example, if the retailer enters the
unique discount identification into the point of sale system
manually, and this is printed on the receipt, the backend system
can detect this event in the logs transmitted by the logger device.
In other cases, the retailer may report the redemption event by
other techniques, for example, by sending the backend system the
unique identification by mail, email, via an online form or
application program interface (API), using a smartphone app,
etc.
[0111] At block 618, the backend system processes the validity of
the discount redemption. This block may encompass processing the
discount redemption to detect fraud, for example. An example of
such fraud includes an attempt to re-use a single-use discount
offer.
[0112] At block 620, the backend system processes the discount
redemption financial consequences. This may take any of several
forms. For example, third-party payments related to the redemption
may be recorded and/or processed. Thus, if the discount was offered
by a manufacturer on a particular product, the manufacturer may owe
money to the retailer who accepted the discount. The backend system
may accordingly orchestrate the related payment. As another
example, the backend system may charge the discount offer issuer a
fee for services when the discount is successfully redeemed. If the
discount was obtained by use of a search engine, the search service
revenue models presented above in reference to FIG. 5 may be
utilized.
[0113] FIG. 7 is a schematic diagram of several techniques for
establishing customer proximity to a logger device according to
some embodiments. Thus, the techniques 702, 704, 706 of FIG. 7 may
be used to implement block 612 of FIG. 6. Further, the techniques
702, 704, 706 of FIG. 7 may also be used to establish that the
customer has presented a discount representation, per block 610 of
FIG. 6. The sub-cases presented in the context of block 612 of FIG.
6 are elaborated on below.
[0114] Per Sub-Case 1 (702):
[0115] The use of a direct transmission from customer device 708 to
logger device 710 means that it will generally be easy to identify
the point of sale logger device at which the customer is present.
However, it may be ambiguous in some cases. For example, if two
point of sale locations with attached logger devices are closely
adjacent, and the customer transmits their discount redemption
request by Bluetooth Low Energy (for example), both adjacent point
of sale logger devices may receive a strong signal. The system can
handle this ambiguity and apply the discount at the intended point
of sale only, by applying additional verification steps as follows.
(1) Points of sale in which the current transactions do not contain
a set of items which match the discount that the customer is
attempting to redeem may be ruled out. (2) The logger devices may
communicate with the backend system to determine which is receiving
the strongest signal from the customer device. (3) A unique
machine-readable identifier may be attached to each point of sale
(for example a barcode, QR code, NFC tag or capacitive stamp
pattern). The customer may scan or otherwise recognize this code
with their mobile device, and the code can be transmitted to the
backend system to unambiguously identify the point of sale at which
they are present. (4) An alert may be displayed to a retail staff
member who can help confirm the correct point of sale by taking an
action (e.g., pressing a button on the associated logger device,
scanning a special barcode, pressing a button on a smartphone app,
etc.). This technique may operate as a fallback if the previous
methods fail. The alert may be by way of a visual indication on a
logger device, or by a message in a smartphone app used by the
retailer, for example.
[0116] Per Sub-Case 2 (704):
[0117] For this technique, the data from the customer discount
representation is sent to backend system 712. Backend system 712
determines which logger device 710 of a potentially large number of
logger devices to relay the discount information to. The technique
can establish the correct logger device 710 by using information
sent in the representation from the customer's mobile device 708.
For example, backend system 712 may make use of the identifiers and
signal strengths of nearby WiFi devices (including that of logger
device 710, or additional equipment installed at the retail
location) to identify the location of the customer. A similar check
may be performed using other technologies such as near-field
communications, Bluetooth and Bluetooth Low Energy. The technique
may also make use of other location information available on the
customer device, such as a recent global positioning system fix. In
some instances, this will unambiguously identify the point of sale
at which the customer is present. If the point of sale remains
ambiguous, additional verification steps as discussed in relation
to Case 1 may be used.
[0118] Per Sub-Case 3 (706):
[0119] This technique uses an additional step to reduce ambiguity
as to the point of sale at which the customer is present. In this
technique, customer device 708 sends a discount representation
signal, and the retailer takes an action when a discount offer is
being redeemed. This results in a message to backend system 712
that identifies the retailer (and optionally also the specific
logger device 710) involved in the transaction. Backend system 712
can follow a similar process as in Case 2, but can use the
additional signal generated by the retailer to reduce any
ambiguity. For example, in Case 2, backend system 712 has a large
set of possible logger devices to select from. In Case 3, this set
is reduced to only those logger devices for which the relevant
retailer signal has been sent in the last few seconds.
[0120] FIG. 8 is a schematic diagram of a technique for translating
a discount code to an accounting code according to some
embodiments. This technique may be used as part of block 616 of
FIG. 6. In particular, FIG. 8 schematically illustrates mapping a
discount representation code (e.g., a coupon code) received by
logger device 802 to a discount signal readable by the point of
sale system 804 (e.g., cash register). Such a mapping permits the
issuance of discount offers that are highly targeted. In
particular, because it enables associating a unique code with each
issued discount offer, some embodiments can automatically enforce
complex criteria on the circumstance in which the unique discount
offer can be redeemed (e.g., location, set of products, etc., as
verified by the logger device). The retailer, on the other hand,
need only configure their point of sale system to recognize a small
set of signals corresponding to the ways in which the transaction
total should be adjusted. Note that embodiments can still retain
fine-grained control over the discount amount by use of the
"variable weight encoding" system used in Universal Product Codes,
for example.
[0121] FIG. 9 is an example screenshot of a search engine 902
according to some embodiments. Search engine 902 may be a search
engine configured to provide, in response to a customer query,
search results based at least in part on a product inventory based
on data provided by logger devices (e.g., 110 of FIG. 1, 202 of
FIG. 2, 302 of FIG. 3). Search engine 902 may be presented on a web
page or mobile device app, for example. As depicted in FIG. 9,
search engine 902 includes field 904 into which a customer may
enter a search query, in this example, the term "helmet".
[0122] FIG. 10 is an example screenshot of example search results
according to some embodiments. The search results may be obtained
from, e.g., search engine 902 of FIG. 9. As depicted in FIG. 10,
results for the search query "helmet" include a representation of
Acme helmet 1004 and Sample helmet 1006. Note that the search
results also depict the associated shop that has the respective
helmet in inventory as determined by embodiments disclosed herein,
as well as a distance from the mobile device (for example) on which
the search engine is displayed.
[0123] FIG. 11 is an example screenshot of example product details
according to some embodiments. The depiction of FIG. 11 may be a
result of a customer clicking on a particular search result of FIG.
10, e.g., Acme helmet 1004. As shown, the depiction includes map
section 1104 showing a location of the store having the helmet in
stock, and product section 1106 showing an image of the respective
product, in this example case, an Acme helmet.
[0124] FIG. 12 is an example screenshot of example store details
according to some embodiments. The depiction of FIG. 11 may be a
result of a customer clicking on a particular link to a shop in
search results, e.g., as shown in FIGS. 10 and 11. Thus, the store
details include a section 1204 for searching the inventory of the
particular store (including a field into which a customer may enter
a search query), a section 1306 depicting the store location on a
map, and a section 1208 depicting the store's hours of operation.
Also present are search button 1212, hours button 1210, map button
1214, and call button 1216. Activating buttons 1212, 1210 or 1214
may cause the screen to scroll to the respective section.
Activating button 1216 may cause the website or mobile device on
which the search engine is depicted to initiate placing a phone
call to the respective store.
[0125] Many variations of the embodiments presented herein are
possible. Details of some such variations are disclosed
presently.
[0126] A retail outlet need not attach logger devices to all of
their barcode scanners and receipt printers. In some cases, it may
be impractical or unnecessary to do so. For example, receipt
printers are sometimes integrated into cash registers rather than
connected externally via a cable, in which case attaching a logger
device may be impractical. This is sometimes also the case for
barcode scanners. Also, the retailer might wish to attach logger
devices to some of their point of sale systems but not others for
reasons of cost.
[0127] Some embodiments permit logging from alternative point of
sale equipment. In general, some embodiment employ logger devices
in conjunction with two peripherals of a point of sale system,
namely, the barcode scanner and the receipt printer. However, some
embodiments may extract relevant data by logging from any of the
other pieces of equipment present at a typical retail point of
sale. For example, data sent from a point of sale system to a
visual display may be logged. Similarly, some embodiments may log
data sent from a point of sale system to a credit card reader or
other payment device, or data sent from a payment device back to a
point of sale system or over an external network.
[0128] Some embodiments integrate the logger device into the
peripherals. In such embodiments, instead of the logger device
being implemented as a separate piece of hardware, it may be
implemented as part of modified barcode scanners or other
peripherals, which included an integrated logger device. That is,
the functionality of the logger device may be integrated directly
into the peripheral.
[0129] Some embodiments obtain price information from payment
processing networks. As an alternative to obtaining item price data
by logging from a receipt printer, some embodiments instead obtain
the payment totals for transactions from a payment processing
company that services the retailer's credit card terminal. Such
embodiments may associate payment totals with a list of items
present in a transaction: the list of items may be obtained for the
logger device, and the association may be performed by use of
timestamps and/or estimated price totals obtained from external
data sources. By collecting multiple such <item list, payment
total> pairs, the price of each individual item may be found by
solving a simple linear algebra problem. This technique avoids the
need to attach a logger device to the receipt printer to obtain
price information.
[0130] Some embodiments collect data from a point of sale computer
system directly. Such embodiments log from the point of sale system
directly. In general, a "point of sale system" means the central
element of a point of sale system that co-ordinates the peripheral
devices. Typically, this point of sale system includes a computer,
albeit perhaps in a specialized form, for example an electronic
cash register. Some logger devices collect data by interfacing with
this point of sale system directly. Such embodiments enable
collection of transaction information along with details of item
names and prices.
[0131] In many cases the point of sale system includes a standard
computer running a typical operating system such as WINDOWS or
LINUX. In these cases, the logger device may be implemented as a
software program executing on this computer, coupled with a
mechanism for sending logged data over the internet. This may be
provided for example by means of a USB-attached cellular modem, for
example. An alternative to running on the point of sale system
computer directly is to run such software on independent hardware,
and to communicate with the point of sale system over a local
network.
[0132] Some embodiments can provide a variety of analytic reports
to a variety of entities. For example, data collected by some
embodiments can be used to provide the retailer with a convenient
report on how their store is performing. Embodiments may
automatically construct reports showing the retailer their sales by
day or month, products that are selling well or poorly, products
which need restocking soon, performance of loyalty programs, etc.
Compared to existing solutions, some embodiments allow for the
combination of data across multiple point of service devices or
multiple stores, and the presentation of it to the retailer online
or on a mobile device.
[0133] As another analytics example, the totality of the collected
data also provides the ability to offer sophisticated analytics to
small retailers. For example, if an embodiment detects (using data
from across all stores) that a particular product has become newly
popular, it can be suggested to stores that do not yet carry it. If
the data reflects that two products are frequently purchased
together, and a particular retailer stocks only one of these
products but not the other, it can be suggested they may increase
sales by adding the second product. Many other such optimization
opportunities are possible. A fee may be charged to deliver such
reports to the product manufacturer and/or retailer.
[0134] As yet another analytics example, some embodiments can offer
analytics services to manufacturers. In general, data for small
stores is largely absent, delayed, manually collected at high cost
or inferred from other sources. Some embodiments provide
manufacturers with a fine-grained and instantly-updated view of
their sales. Some embodiments provide a fine-grained geographic
breakdown. Overall, some embodiments enable novel applications, for
example, faster feedback on sales can enable dynamic fine-tuning of
advertising, or optimizing production and logistics based on a
dearer picture of current demand.
[0135] As yet another example of analytics, some embodiments can
provide analytics services that may be of interest to financial
market participants or those interested in wider economic
indicators. That is, some embodiments may use collected data to
construct real-time estimates of inflation, retail sales, sales of
a particular manufacturer, etc.
[0136] Certain embodiments can be performed in part as a computer
program or set of programs. The computer programs can exist in a
variety of forms both active and inactive. For example, the
computer programs can exist as software program(s) comprised of
program instructions in source code, object code, executable code
or other formats; firmware program(s), or hardware description
language (HDL) files. Any of the above can be embodied on a
transitory or non-transitory computer readable medium, which
include storage devices and signals, in compressed or uncompressed
form. Exemplary computer readable storage devices include
conventional computer system RAM (random access memory), ROM
(read-only memory), EPROM (erasable, programmable ROM), EEPROM
(electrically erasable, programmable ROM), and magnetic or optical
disks or tapes.
[0137] While the invention has been described with reference to the
exemplary embodiments thereof, those skilled in the art will be
able to make various modifications to the described embodiments
without departing from the true spirit and scope. The terms and
descriptions used herein are set forth by way of illustration only
and are not meant as limitations. In particular, although the
method has been described by examples, the steps of the method can
be performed in a different order than illustrated or
simultaneously. Those skilled in the art will recognize that these
and other variations are possible within the spirit and scope as
defined in the following claims and their equivalents.
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