U.S. patent application number 14/175550 was filed with the patent office on 2014-08-07 for apparatus, system and method for secure transactions and monitoring in a retail environment.
The applicant listed for this patent is SECURECHECK, LLC. Invention is credited to Tony Donofrio, Edward McCauley.
Application Number | 20140222680 14/175550 |
Document ID | / |
Family ID | 51258474 |
Filed Date | 2014-08-07 |
United States Patent
Application |
20140222680 |
Kind Code |
A1 |
McCauley; Edward ; et
al. |
August 7, 2014 |
APPARATUS, SYSTEM AND METHOD FOR SECURE TRANSACTIONS AND MONITORING
IN A RETAIL ENVIRONMENT
Abstract
An apparatus, system method of providing mobile checkout. The
apparatus, system and method may include obtaining, via an opt-in
to an in-store wireless network, of consumer device data regarding
a plurality of consumer mobile devices, the consumer data
comprising device use data, prior purchase data, and GPS data,
receiving video surveillance data related to at least one consumer
having consumer device data, interrelating, from at least one
non-transitory computer-readable medium storing at least the
consumer device data and the video surveillance data, of at least
the consumer device data and the video surveillance data by at
least one computing processor, and applying, by the computing
processor, of a plurality of business rules to the interrelated
datas to enable at least the mobile checkout, wherein the mobile
checkout includes a purchase of at least one in-store item via the
consumer device associated with the purchasing one of the at least
one consumer.
Inventors: |
McCauley; Edward;
(Alpharetta, GA) ; Donofrio; Tony; (Greer,
SC) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
SECURECHECK, LLC |
Alpharetta |
GA |
US |
|
|
Family ID: |
51258474 |
Appl. No.: |
14/175550 |
Filed: |
February 7, 2014 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
61762106 |
Feb 7, 2013 |
|
|
|
61762113 |
Feb 7, 2013 |
|
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|
61762122 |
Feb 7, 2013 |
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Current U.S.
Class: |
705/44 |
Current CPC
Class: |
G06Q 2220/00 20130101;
G07G 3/003 20130101; G06Q 10/0833 20130101; G06Q 20/20 20130101;
G06Q 20/3224 20130101; G06Q 20/3274 20130101; G06Q 20/325 20130101;
G06Q 20/40145 20130101; G06Q 30/04 20130101; G06Q 30/0201 20130101;
G06Q 20/4016 20130101; G06Q 20/3226 20130101; G06Q 10/087 20130101;
G06K 7/10821 20130101; G06Q 20/322 20130101; G06Q 20/382 20130101;
G06Q 20/401 20130101 |
Class at
Publication: |
705/44 |
International
Class: |
G06Q 20/32 20060101
G06Q020/32; G06Q 20/40 20060101 G06Q020/40 |
Claims
1. A method of providing mobile checkout, comprising: obtaining,
via an opt-in to an in-store wireless network, of consumer device
data regarding a plurality of consumer mobile devices, the consumer
data comprising device use data, prior purchase data, and location
data; receiving video surveillance data related to at least one
consumer having the consumer device data; interrelating, from at
least one non-transitory computer-readable medium storing at least
the consumer device data and the video surveillance data, of at
least the consumer device data and the video surveillance data by
at least one computing processor; and applying, by the computing
processor, of a plurality of business rules to the interrelated
datas to enable at least the mobile checkout, wherein the mobile
checkout includes a purchase of at least one in-store item via the
consumer device associated with the purchasing one of the at least
one consumer.
2. The method of claim 1, wherein said applying further comprises
applying the business rules to the interrelated datas to enable
issuance of a shopper integrity score.
3. The method of claim 1, wherein the receiving video surveillance
data is triggered by an indication received from the consumer
device.
4. The method of claim 1, wherein the consumer data comprise
exception based reporting.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application claims priority to U.S. Provisional Ser.
No. 61/762,106, filed Feb. 7, 2013 entitled "Apparatus, System and
Method for Secure Transactions and Monitoring in a Retail
Environment"; U.S. Provisional Application Ser. No. 61/762,122,
filed Feb. 7, 2013 entitled, "Apparatus, System and Method for
Stimulating and Securing Retail Transactions"; and U.S. Provisional
Ser. No. 61/762,113, filed Feb. 7, 2013 entitled "Apparatus, System
and Method for Facilitating and Securing Access to Transactions in
a Retail Environment", the entire disclosure of which are
incorporated herein as if set forth in its entirety.
BACKGROUND
[0002] 1. Field of the Disclosure
[0003] The instant disclosure relates to retail transactions, and,
in particular, to apparatuses, systems and methods for secure
transactions and transaction monitoring in a retail
environment.
[0004] 2. Background of the Disclosure
[0005] In the present retail market, it is generally the case that
tethered point of service (POS) devices are used in-store to
provide a variety of functionality. These tethered POS devices
include, by way of non-limiting example: cash registers that scan
items either at the direction of a cashier or the direction of a
consumer (at "self checkout") in order to allow for a transaction,
i.e., to allow the user to be charged for goods desired for
purchase; and tracking devices, such as cameras and scanners, for
tracking consumer patterns and for POS tracking of purchased or
unpurchased items. These tethered POS devices thus provide for
transactions, and help minimize loss in the form of mistake or
theft.
[0006] However, the retail environment is changing rapidly,
particularly with the advent of smart phones. "Mobile checkout"
using smartphones and like devices is increasingly desired by
consumers, but mobile checkout leads to a plurality of issues,
particularly with respect to a loss by mistake and theft. Further,
mobile checkout may give rise to issues with regard to, for
example, loyalty programs and the like, as well as consumer and
consumer purchase tracking.
[0007] Therefore, the needs exists for an apparatus, system, and
method to allow for mobile checkout and in-store shopping in a
secure manner, but also in a manner that decreases the probability
of theft and mistake while improving consumer tracking.
SUMMARY OF THE DISCLOSURE
[0008] The apparatus, system and method of the disclosure may
include obtaining, via an opt-in to an in-store wireless network,
of consumer device data regarding a plurality of consumer mobile
devices, the consumer data comprising device use data, prior
purchase data, and GPS data, receiving video surveillance data
related to at least one consumer having consumer device data,
interrelating, from at least one non-transitory computer-readable
medium storing at least the consumer device data and the video
surveillance data, of at least the consumer device data and the
video surveillance data by at least one computing processor, and
applying, by the computing processor, of a plurality of business
rules to the interrelated datas to enable at least the mobile
checkout, wherein the mobile checkout includes a purchase of at
least one in-store item via the consumer device associated with the
purchasing one of the at least one consumer.
[0009] Thus, the present invention provides an apparatus, system,
and method to allow for mobile checkout and in-store shopping in a
secure manner, but also in a manner that decreases the probability
of theft and mistake while improving consumer tracking.
BRIEF DESCRIPTION OF THE FIGURES
[0010] Understanding of the present invention will be facilitated
by consideration of the following detailed description of the
preferred embodiments of the present invention taken in conjunction
with the accompanying drawings, in which like numerals refer to
like parts:
[0011] FIG. 1 illustrates aspects of the disclosed embodiments;
and
[0012] FIG. 2 illustrates aspects of the disclosed embodiments.
DETAILED DESCRIPTION OF THE EMBODIMENTS
[0013] It is to be understood that the figures and descriptions of
the present invention have been simplified to illustrate elements
that are relevant for a clear understanding of the present
invention, while eliminating, for the purpose of clarity, many
other elements found in typical retail environment, electronic
purchase, telecommunications network, and security, apparatuses,
systems, and methods. Those of ordinary skill in the art may
recognize that other elements and/or steps are desirable and/or
required in implementing the present invention. However, because
such elements and steps are well known in the art, and because they
do not facilitate a better understanding of the present invention,
a discussion of such elements and steps is not provided herein. The
disclosure herein is directed to all such variations and
modifications to the disclosed elements and methods known to those
skilled in the art.
[0014] The present invention is and includes apparatuses, systems,
and methods that may be provided, for example, by a smartphone,
such as in an "app" associated with the smartphone, wherein
consumers may engage in mobile self or assisted checkout using the
app and/or the smartphone without accessing tethered points of
service in making retail purchases. Those skilled in the art will
appreciate, in light of the discussion herein, that a phone, smart
phone, or like term, may include any type of mobile computing
device, including a PDA, a tablet computer, a laptop, or the like.
The present invention also provides, through the use of such
embodiments, the maintaining of security of goods, security of the
purchase transaction for the buyer and seller, decrease in loss and
theft, and improvement in consumer, employee and purchase tracking,
in real time and over predetermined time periods. The technologies
provided herein may thus include and/or be partially dependent upon
location-based technologies, such as GPS or triangulation. Thus,
with respect to GPS, the as used herein may include any location
based technologies. For example, a user may have GPS location
services turned off on the user's phone but, should the user opt
into the in-store network, the user's phone may still be located
via, for example, triangulation with knowledge of the user's MAC
address or the like. The systems and method provided herein may
further include features dependent upon near field communications
(NFC), radio frequency identification (RFID), Bluetooth, or like
wireless reading technologies, as well as including aspects
dependent upon UPC, JAN, barcodes, QR codes, EAN codes, or the
like.
[0015] In previous retail embodiments, most retail establishments
provide point of service (POS) purchase systems. In such systems, a
barcode or like identifying code, such as those referenced above,
is read, typically by a scanner, or is entered by a cashier. When
the code is scanned, thereby indicating that a consumer desires to
make a purchase, that code is sent to a database which associates
the item for purchase with the barcode or like code, and which
associates that item for purchase with a purchase price.
Thereafter, the consumer is asked to pay that purchase price via
cash, credit card, debit card, or the like.
[0016] However, it is becoming increasingly prevalent that
retailers offer, or wish to offer, opt-in programs for in-store
Wi-Fi, thereby allowing in-store processes to be untethered from
POS. Further, to the extent such opt-in programs are offered for
Wi-Fi, opt-out programs may similarly be offered, although a
retailer may place limitations on an opt-out program. However, for
a variety of reasons, it is still atypical that the available
untethering of many in-store transactions has occurred prior to the
instant invention. These reasons include lack of acceptable
transaction security and increased likelihood of theft, among other
reasons.
[0017] In an example of a non-purchase in-store transaction, it is
also typical that in-store tracking of consumers occurs,
particularly using security video. For example, several large
retail chains employ digital (such as Internet protocol, or "IP")
or analog -based camera systems through which security personnel
can see all, many, or some portions of the store simultaneously. In
such embodiments, it is typical that in-store staff watches
security cameras across the store as well as purchase transactions
at the POS of purchase, such as in order to enforce loss prevention
mechanisms in real time. Such security video may additionally be
maintained or recorded, and, as discussed further herein, the
present invention may provide the ability to use and manage such
security video locally, remotely, via mobile application, or the
like.
[0018] It is further the case that, in prior retail embodiments,
retailers employ exception based reporting (EBR). In the course of
an EBR transaction, the transaction is viewed in light of a
plurality of business rules that indicate the relative value of the
transaction. In an EBR system, particularly high value transactions
are focused on, particularly from a security, loss, mistake and/or
theft standpoint. In present day systems, EBR tracking gives
insight into relevant retail factors for high value transactions,
although present systems are exclusively tethered, and include
solely batched data.
[0019] In view of the foregoing, it is evident that previously
available systems provide a plurality of mechanisms that might
improve the convenience, speed and security of mobile checkout, but
it is also clear that these mechanisms give rise to a plurality of
difficulties for mobile checkout that have gone previously
unaddressed. For example, with respect to the foregoing EBR
discussion, were a transaction to occur anywhere in the store other
than a tethered POS subject to security cameras and through which a
purchaser would be "funneled" to exit the store, the ability to
isolate that high value transaction appreciably decreases. By way
of non-limiting example, in a EBR context that employed mobile
checkout, a consumer might much more readily swap price tags in a
remote aisle and engage in a mobile checkout in which the consumer
pays $9.99 for a shirt that originally had a tag on it for $99.99.
This happens, in part because it is difficult to use EBR to isolate
this transaction in a remote aisle of the store in a mobile
checkout context.
[0020] Thus, the present invention may provide, as illustrated in
FIG. 1, an opt-in Wi-Fi system 10, wherein a smart phone 12 may
opt-in to an in-store Wi-Fi network 14. The opt-in system 10 and
network 14 may similarly comprise, for example, a cellular system,
Bluetooth system, or the likie, as will be appreciated by those of
skill in the pertinent arts. The phone may further include on or
more apps 16 that allow for mobile checkout 18, such as secure apps
that allow an item to be scanned by the phone, have the price of
the item received by the phone, and access given to a payment
capability on the phone for the scanned item, such as access to
credit card data, Google Wallet, or the like of the phone's owner.
As used herein, mobile checkout 18 may also include mobile return
(such as wherein a user uses an e-receipt, or scans a paper
receipt, and drops a returned item, and wherein the returned item
can be scanned, such as by bar code or RFID scan, or wherein image
recognition is performed, or wherein physical characteristic
recognition, such as weight recognition, is performed, to confirm
the item returned). Additionally, a system in accordance with the
invention may include one or more video cameras 20 that may focus
on consumers throughout the store, and/or that may be directed to
consumers when an item is scanned for mobile checkout, such as to
check for or insure proper payment, such as from an on-board device
wallet as referenced above, for the correct item(s).
[0021] Of course, those skilled in the art will appreciate that the
aforementioned on-board device wallet may include a "personality
wallet." In such an embodiment, a smart phone or like device, such
as automatically or by consumer interaction, may store her
preferences over time. This personality information may form the
basis for improved interaction with digital devices. In other
words, a smart phone in such an embodiment may provide to digital
devices the historical information of that consumer, such as to
help with the shopping process, such as by improving the quality of
recommendations/advice provided to the consumer as discussed
throughout. Correspondingly, a retailer may be provided with a
detailed, analytical history of in-store consumer preferences.
[0022] Likewise, a personality wallet may comprise a "loyalty
program wallet." For example, many consumers in prior art
embodiments maintain individual "apps" that are specific to
individual stores or retailers, certain of which apps track buying
patterns and reward points, among many other things. This
information may be used by retailers, such as for retailer-based
loyalty programs.
[0023] Accordingly, the present invention increases consumer
convenience, at least in that a consumer need not keep track of all
individual loyalty programs. For a retailer point of view, access
to a loyalty program wallet provides an enhanced profile of
customers across multiple product categories. Such a multi-category
profile improves buying recommendations, increases revenue for the
retailer, and allows for expanded marketing programs to engage with
the consumer.
[0024] For example, a consumer that has opted-in to a Wi-Fi network
may, knowingly or unknowingly, accordingly provide information
regarding the user's smart phone 12, such as the user's SIM
information, MAC address, or the like, during the Wi-Fi opt-in
process. Thereby, the user's phone may be tracked by any method
known to those skilled in the art, including but not limited to
GPS, triangulation via cellular towers or wireless nodes, or the
like. Thus, when a user makes a purchase, the user's specific
physical location may be known, and thereby in-store security
cameras may look to the consumer as an item is being scanned. Thus,
the present invention provides a system wherein video may be
targeted to a consumer or an employee scanning an item based on the
GPS signature, or like location signature, of a device making the
scan. Further, the actions of the scanning consumer or the scanning
employee may thus be immediately known, either locally or remotely,
via the video. For example, IP video may be made available locally
and remotely, such as at a central security hub, and may further be
available to store manager or security personnel apps, such as may
be carried around the store with a security guard.
[0025] The aforementioned real-time camera scan of a consumer
scanning an item may be useful not only for theft prevention, but
additionally in the treatment of "showrooming." As used herein,
showrooming is a process wherein a consumer may scan a particular
item in a retail context, but only to check the pricing in the
retail context against the on-line price of the item being scanned
in-store. The method discussed herein, wherein a scan by a consumer
indicates, via the opted-in Wi-Fi network, that the consumer is
scanning the item, and wherein in-store cameras provide insight
into the consumer's actions, allows for in-store personnel to take
particular action with regard to showrooming. For example, in-store
personnel may provide the consumer with a coupon, a discount,
loyalty points, or the like, while the consumer is still or near in
the aisle in which the showrooming scan occurred. This may
incentivize the consumer to purchase the item in-store, or may,
over time, incentivize the user to be loyal to the store and stop
showrooming.
[0026] Those skilled in the art will further appreciate, in light
of the discussion herein, that, due to the consumer's opt-in to the
Wi-Fi network and the consequent availability of the identifying
characteristics of the consumer's phone, store personnel and/or an
in-store computing server and/or a remote monitoring system may
know what the user is viewing on a phone. This provides store
personnel with an indication that showrooming is occurring, or that
a third party app on the user's phone is in use, or the like. Due
to this ability, store personnel or the computing system may send a
coupon or discount mechanism directly to the user's phone, such as
to the aforementioned store-app on the user's phone. This coupon or
discount may occur automatically from the store's computing system
based on one or more business rules in the store computing system.
Similarly, this provides an opportunity for remote or local
customer service assistance. For example, if an item is scan, but
no additional action is undertaken and the customer does not move
for 90 seconds, an interrupt may be sent to the user's mobile
device in which a remote customer service pop-up window may
activate and ask the user, "May I help you learn more about ITEM?"
Based on the user response, if any, a customer service transaction
may occur.
[0027] For example, the computing system/server 20 illustrated in
FIG. 1 may monitor the network, the phone activity of user's that
have opted-in to the network, and/or in-store cameras. Thus, if a
scan on a particular phone is sensed in conjunction with, for
example, use of a third party app, the business rules may indicate
that the computing system provide to the phone of the user engaging
in the scan a discount or coupon, with or without intervention of
store personnel.
[0028] Not only does the foregoing system, and the described
method(s) performed therein, lower the likelihood of theft, but
additionally the system and method(s) allow for in-store data
tracking, purchase pattern tracking, enhanced EBR tracking,
employee action tracking, customer tracking, loyalty tracking, and
the like. More particularly, multiple ones of the foregoing records
may be tied together over a pre-determined timeframe, such as
wherein consumer purchase patterns may be gauged weekly, monthly,
annually, and the like, such as for all consumers based on phone
identifiers, or for consumers that are, for example, members of an
in-store loyalty program.
[0029] Further, the computing system of a retail store or a retail
chain may thus have a record of what phone each consumer uses,
whereby providing unique information to each consumer's phone may
be made easier. For example, a consumer in possession of an iPhone
may be offered, while in-store, a mobile app, a coupon app, or the
like, such as for that retail chain in which the user is then
shopping. Further, it is known to the computing system that the
particular consumer should be offered an iPhone application while
in-store, rather than an Android application, by virtue of the fact
that it is known that the consumer is using an iPhone. This
information may be used, for example, in pattern analysis, as
discussed hereinthroughout.
[0030] The computing system 20, or an associated remote computing
system communicatively connected to the computing system 20, may
engage in pattern/trend analysis. This pattern analysis may provide
not only the aforementioned patterns and trending for one,
multiple, loyal, frequent, or the like consumers, but may
additionally provide the ability to do pattern analysis for
particular employees, groups of employees, particular stores as
among other stores in a retail chain, and the like. Accordingly,
theft may be more readily prevented, and additionally information
profiles, both for consumers and employees, may be created.
[0031] By way of non-limiting example, a particular store employee
may give a $50 cash refund to a consumer who makes a return without
a receipt. When this behavior is engaged in, a record is maintained
of that employee's mobile scanning device identifiers, the
transaction is associated therewith, and a video signature of the
transaction may also be maintained by the computing system. If the
same employee engages in the behavior a certain number of times,
such as eight times over a six month span, the pattern analysis
rules of the rules engine associated with the computing system 20
may indicate a pattern on behalf of that employee of participating
in likely theft. Further, for each or all such instances, the
computing system of the present invention can verify whether the
consumer did, in fact, make the purchase in-store, such as by
assessing the user's phone signature and a geo-synched in-store
video signature. If it is indicated that for multiple ones of the
aforementioned eight transactions the user did not actually make
the purchase in the store based on transaction/video/phone records,
this again increases the likelihood that the employee is actively
participating in theft.
[0032] Further, the present invention may employ the aforementioned
aspects to prevent "roundabouting." As used herein, roundabouting
indicates that an item has been taken off of a shelf, walked to the
front of the store without purchase, and a consumer has endeavored
to return the item to the store unpurchased and without a receipt.
The system of the present invention, and as illustrated in FIG. 1,
will recognize, based on the MAC address, SIM information, or the
like of the consumer's smart phone, as well as the GPS signature of
the phone, the in-store video signature of near-in-time
transactions, etc., and the consumer's in-store actions, that the
user did not, in fact, purchase the item prior to attempting a
return.
[0033] Those skilled in the art will appreciate in light of the
discussion herein that the performance of the system and method
discussed herein may be improved by forcing consumers and employees
to opt-in to the in-store Wi-Fi network. In order to stimulate this
behavior, in-store opt-in may be required to enable mobile-check
out or other in-store services or discounts, or the opt-in may be
enticed, such as by being required on each trip into the store if
the user intends to use a loyalty program while in-store.
[0034] In short, the present invention may thus allow for mobile
checkout, and may link this mobile checkout to GPS (location) and
video records in-store. Further, data from the consumer's device
may be obtained and stored, and may be stored as or in conjunction
with the user's activity data, GPS data, video data, and the like.
Finally, this data may be tracked, and may be manipulated to obtain
business intelligence that indicates trends for the pattern/trend
analysis as directed by the business rules associated with the
computing system 20 and as discussed above. Those skilled in the
art will further appreciate that data, as that term is used herein,
includes entry of the data, which may include user activity on a
phone as read by the opted-in Wi-Fi network, the reading of a
barcode, an NFC read, a Bluetooth read, a movement between
departments within a store, and the like. As used herein, the term
data also includes data schema, including data formatting, that may
be employed with respect to accumulated, read or interrelated data.
Further, data, as the term is used herein, may include created data
rather than tracked or accumulated data. Such created data may
include, for example, the integrity score discussed below. Data may
further include atypical data in a retail context, such as
biometrics data as may be tracked by a video, phone usage (such as
a fingerprint read engaged in by a telephone app) and the like.
[0035] As discussed herein, video tracking and management services
are currently provided for many large retail stores. Such providers
of video management, as well as providers of other in-store
applications typically employed in a retail context, may provide an
open API library that allows third parties to "hook" applications
into the open API system provided. Accordingly, the aspects of the
present invention discussed herein may be hooked as "applications"
into existing systems, such as to provide branded or white label
mobile checkout apps, or the like. Further, in such a context, the
aspects of the present invention may be associated with other
applications that may additionally enhance the security of the
transactions engaged in a mobile checkout context. For example,
exterior video may be used in conjunction with the in-store video
to provide an ability to track license plates, whereby a user may
be tracked in-store, as discussed herein, and then may be tracked
leaving the store and getting into a vehicle that is associated
with a license plate which may provide for subsequent tracking and
locating of the user.
[0036] FIG. 2 is a hierarchical diagram illustrating, at Step A,
the generation of data regarding phone use, GPS, video
surveillance, and the like, in-store. At Step B, this information
is accumulated and may be interrelated. For example, at Step A,
only phone and GPS data may be indicated, but such data may be
linked together, or, GPS, phone, video, and use data may be
generated by a particular mobile device and may be accumulated and
related to that particular mobile device, at step B.
[0037] At Step C, data analysis that may indicate that a particular
action is performed, such as based on business rules as applied to
the interrelated data of step B. For example, at Step C, a shopper
integrity score may be issued. The shopper integrity score may be
an indication of the risk level of a particular consumer that is
then in-store. The shopper integrity score may be numerical score,
and/or may be shared with in-store personnel. As such, shoppers
having a particular shopper integrity score, such as a particularly
high shopper integrity score, may be invited to participate in
particular programs, such as by receiving targeted advertisements,
coupons, red carpet services, such as the unlocking of secure
cabinets, or the like, either manually by in-store personnel or
automatically by the computing system discussed in FIG. 1.
Accordingly, systems and methods discussed herein may not only be
used to increase the security of goods sold, the security of
in-store transactions, and to target particular consumers, but may
additionally be used to obtain and retain the most desired
shoppers. For example, the presence of those desired shoppers may
be assessed, and the store may endeavor to increase the
level/amount of shopping and/or participation in loyalty programs
by these most desired shoppers, such as based on the aforementioned
shopper integrity score.
[0038] Of course, the shopper integrity score (SIS) may thus
comprise a plurality of available information in combination. For
example, a consumer's SIS may be calculated by combining publicly
available data from credit history, criminal history, buying
history, and/or social media endorsements, to thereby calculate a
risk model that retailers can access to enable or prohibit certain
mobile transactions, either in-store or on-line. The SIS may thus
create a personalized profile that consumers maintain based on
behaviors and history. The SIS may be dynamic, such as based on
real-time or periodic data feeds. For example, the higher an SIS,
the greater the access for the subject consumer to locked
merchandise, targeted coupons, or unassisted mobile check-outs, by
way of non-limiting example.
[0039] For example, a particularly high integrity scored user may
walk past a locked cabinet that has therein high value items, such
as electric shavers. As the user passes the locked cabinet, the
user may be provided with a coupon, advertisement, alert, or the
like, because of the user's high integrity score or loyalty score,
or the user may be provided with such coupons, ads, or alerts
simply because the user has been monitored as purchasing a great
many disposable razors, or as having a preference for frequently
purchasing electric shavers. Similarly, the cabinet may be
unlocked, such as by an electronic key or token sent to the user's
phone, wherein the user's phone engages with an NFC or Bluetooth
transaction with the cabinet.
[0040] Further, certain users may receive not only high integrity
scores, but additionally may receive valuable consumer scores. For
example, such a user may not only have high integrity, but may
additionally have high integrity in the frequent purchase of
expensive items. All of that information may be accumulated in
accordance with the present invention, and may indicate not only to
a particular retailer but across different retailers that that
consumer is one who should be targeted by those retailers as a
valuable customer.
[0041] Of course, the present invention may make a variety of other
scoring systems, security applications, and/or recommendation
systems available to retailers and consumers. For example, the
present invention may allow for a buyer's compliance app, which may
allow consumers to provide real-time feedback to in-store security,
such as for the purposes of reporting shoplifting events based on
activities witnessed while shopping. This would allow shrinkage to
be maintained at low rates, thereby enabling lower overall costs to
retailers and consumers (e.g., in the event costs of shoplifting
are typically at least partially passed on to consumers).
[0042] Similarly, the present invention may allow for a mobile
fitting room compliance app. Such an app may allow consumers to
scan their merchandise as they enter fitting rooms to "self-report"
the number of pieces being tried-on. Consumers may receive coupons
for on-going compliance, and retailers may thereby reduce the cost
of labor while gaining insight into merchandise that enters fitting
rooms versus conversion rates, such as purchases at point of
service. Such an app, in combination with real-time access to
in-store inventories (style, color, size availability, etc.), may
enable significantly enhanced self-service buying. Furthermore,
this may allow so-called "out of stocks" to be mitigated, at least
in part because consumers can order merchandise they want to
purchase but which is not available at the store, based on this
insight into and access to the supply chain and ability to ship
direct, all via mobile device.
[0043] By way of more particular example, using the disclosed
systems and methods, a user may try on a particular brand of
sneaker in a size 10.5. The user may, based on this try-on, assess
that the user needs the shoe in a size 11--however, there may be no
size 11 on the shelf from which the user took the shoes. As such,
the user may scan the size 10 sneaker box, and may receive, upon
the scan and from the app discussed herein, a pop-up or like
inquiring and interactive user window that asks, "You have scanned
a size 10 men's `MegaSneaker.` What is your inquiry regarding this
item: Size? Color?" Of course, other inquiries relevant to
particular items may also be provided. The user may select "Size,"
and may select, such as via a drop down menu, a size 11. The user
may then be informed, "Yes, your selected item is in stock at this
store. Please see a sales associate for assistance." Or, for
example, the user may be informed, "We're sorry, your selected item
is not in stock at this store. However, 3 local stores do have your
item in stock. Would you like information regarding those
locations? If not, would you like to order your selected item
online?" Similarly, the pricing of the item from the online store
of the retailer may be, at the direction of the user or
automatically, compared against the price at other online or brick
& mortar locations, and the use may be provided with this
information and/or the ability to order from other retailers as
well.
[0044] The previous description of the disclosure is provided to
enable any person skilled in the art to make or use the disclosure.
Various modifications to the disclosure will be readily apparent to
those skilled in the art, and the generic principles defined herein
may be applied to other variations without departing from the
spirit or scope of the disclosure. Thus, the disclosure is not
intended to be limited to the examples and designs described herein
but is rather to be accorded the widest scope consistent with the
principles and novel features disclosed herein.
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