Inmar Clearing, Inc.

Inmar Rx Solutions, Inc.

Jacob Bowman

Melissa Bube

Joel Corra

Jason Eudy

Andreas Marc Benamou

Seth Maxwell

Brian S Rogers

Srinivasan Varadarajan

Robert Zomok

Rex Morgan

Kenneth Bays

Leonel Jerez

Laura Arnett

Caleb Brown

Ashley Merrill

Elizabeth Stewart

Julie Goodman

Pam Forster

A digital promotion processing system may include shopper devices each associated with a given shopper. The digital promotion processing system may also include a digital promotion processing server configured to cooperate with each of the shopper devices to operate a retailer loyalty application on corresponding ones of the shopper devices. The digital promotion processing server may also be configured to obtain an outcome of a contested event, determine a geographic location associated with the contested event, and determine ones of the shoppers within a threshold distance from the geographic location based upon respective geographic locations of the shopper devices. The digital promotion processing server may also be configured to generate and communicate a digital promotion to the ones of the shoppers and accessible via the retailer loyalty application based upon the outcome of the contested event matching a desired event outcome.

Digital promotion processing system including contested event outcome digital promotion and related methods

A fresh food return processing system may include a mobile wireless communications device associated with a user to obtain an image of a previously purchased fresh food product, and initiate a mobile return of the previously purchased fresh food product based upon the image. A server may store a product purchase history associated with the user, obtain the image from the mobile wireless communications device, and provide the image to a machine learning algorithm to train the machine learning algorithm to identify the previously purchased fresh food product from the image. The server may also verify a purchase by the given user based upon comparing the identification of the image via the machine learning algorithm and the product purchase history associated with the given user, and generate and communicate a user credit redeemable toward a future purchase based upon verifying the purchase by the user.

Fresh food return processing system and related methods

A shopper identification system may include shopper devices, and a shopper identification server. The shopper identification server may be configured to obtain product purchase history data corresponding to shoppers, obtain shopper identification data corresponding to the plurality of shoppers, and determine shopper demographics associated with purchased products of a brand based upon the product purchase history data and the shopper identification data. The shopper identification server may also be configured to apply a large language model (LLM) to identify prospective shoppers from among the shoppers that are likely to purchase products of the brand based upon the shopper demographics and generate and communicate a digital promotion to corresponding ones of the shopper devices associated with the prospective shoppers.

Demographic based prospective shopper identification system and related methods

A digital promotion processing system may include user devices each associated with a respective user. Each respective user may have a social media account associated therewith. The system may also include a digital promotion server that includes a memory and a processor coupled thereto and configured to determine liked food content on a social media platform for a given user based upon the corresponding social media account. The liked food content may include at least one liked food ingredient. The processor may also be configured to determine a matching recipe including food ingredients and associated preparation instructions. At least one of the food ingredients may include the at least one liked food ingredient. The processor may generate a digital promotion for at least one of the food ingredients of the matching recipe, and communicate the matching recipe and the digital promotion to the corresponding user device of the given user.

Digital promotion processing system generating a digital promotion based upon matching recipe food ingredients and related methods

A digital promotion processing system may include user devices each associated with a respective different user and a promotion processing server. The promotion processing server may be configured to store historical purchase data for durable good products purchased by the users. The historical purchase data may include a replacement lifespan and a purchase date. The promotion processing server may also be configured to determine an expected product replacement date for a given durable good product from among the durable good products based upon an elapsed time from the purchase date relative to the replacement lifespan, and upon reaching the expected product replacement date, generate and communicate a digital promotion for a replacement durable good product to a corresponding one of the user devices.

Digital promotion processing system for generating a digital promotion based upon durable good product replacement dates and related methods

An account validation system may include an account validation server. The server may store an order purchase history for accounts. The order purchase history may include a purchased product. The server may obtain an account identifier from a user device for a given user and communicate the purchased product to the user device for display thereon based upon a corresponding account associated with the account identifier. The server may communicate a fake product that is inconsistent with the order purchase history to the user device and based upon the order purchase history for the corresponding account. The server may also cooperate to prompt the given user to differentiate the purchased product from the fake product, and determine, based upon the user device, whether the given user has differentiated the purchased product from the fake product, and when so, validate the corresponding account.

Account validation system and related methods

A product purchase system may include a product retrieval robot for a physical store and a mobile wireless communications device associated with a given user and configured to obtain product identifying data for a given product for purchase in the physical store. The given product for purchase may be placed by the given user into a physical shopping cart. The system may also include a server configured to identify the given product for purchase based upon the product identifying data, and determine an add-on product associated with the given product for purchase and located in the physical store. The product retrieval robot may be configured to cooperate with the server to retrieve the add-on product from the physical store and deliver the add-on product to the physical shopping cart.

Product purchase system including product retrieval robot of add-on product based upon mobile device and related methods

A product purchase system may include a product retrieval robot at a physical store and sensors within the physical store and configured to obtain product identifying data for a given product for purchase in the physical store by a given user. The given product for purchase may be placed by the given user into a physical shopping cart. The system may also include a product purchase server configured to identify the given product for purchase based upon the product identifying data, and determine an add-on product associated with the given product for purchase and located in the physical store. The product retrieval robot may be configured to cooperate with the product purchase server to retrieve the add-on product from the physical store and deliver the add-on product to the physical shopping cart.

Product purchase system including product retrieval robot of add-on product based upon sensors and related methods

A product returns processing system may include mobile devices communicating respective purchase transaction receipts for respective products. The system may also include a returns processing server including a processor and a memory. The memory may store the purchase transaction receipts, for each product, a product return rule, a product availability status, and a disposition, and for each user, a return mode preference. The processor may determine a return expiration for each product based upon a respective product return rule, send a notice to each mobile device based upon a respective return window expiration, and receive a return request. The processor may, when the request is received before a return expiration, determine a product availability and condition, determine a return address based upon the disposition and at least one of the product availability and condition, and generate a label with the return address and based upon the return mode preference.

Product returns processing system including return address determination based upon disposition and product availability and condition and related methods

A promotion processing system may include a point-of-sale (POS) terminal associated with a retailer and a promotions. The promotions server may be configured to store a multi-part promotion corresponding to item parts, cooperate with the POS terminal to determine whether less than all of the item parts for the multi-part promotion has been purchased, and generate a digital offer associated with unpurchased item parts. The promotions server may also be configured to accept user selection of one of applying the digital offer toward another item and a charitable donation.

Promotion processing system for generating a digital offer based upon unpurchased item parts of a multi-part promotion and related methods

A system for processing a digital promotion may include a user device associated with a given user and a digital promotion processing server. The digital promotion processing server may include a processor and a memory cooperating therewith to, upon return of a purchased product associated with the given user, determine whether an initial digital promotion was applied to the purchased product, and if so, determine whether the initial digital promotion has expired. When the initial digital promotion has not expired, the processor may generate a first replacement digital promotion having a first promotional value associated therewith, and communicate the first replacement digital promotion to the user device. When the initial digital promotion has expired, the processor may generate a second replacement digital promotion having a second promotional value associated therewith that is less than the first promotional value, and communicate the second replacement digital promotion to the user device.

System for generating replacement digital promotions based upon initial promotion expiration and related methods

A promotion recommendation system may include a user device associated with a given user, and a promotion recommendation server. The promotion recommendation server may be configured to identify a social media influencer followed by the given user and determine a beverage associated with the social media influencer. The beverage may have ingredients. The promotion recommendation server may also be configured to cooperate with the user device to determine a current geographic location of the given user, generate a recommended beverage having one of the ingredients, and generate a digital promotion for the recommended beverage for redemption at a redemption location based upon the current geographic location of the given user. The promotion recommendation server may also be configured to communicate the digital promotion to the user device.

Promotion recommendation system based upon beverage associated with social media influencer and related methods

A product purchase guidance system may include a user device to permit selection of an influencer. A purchase guidance server may include a memory to store personalized influencer media content of a respective suggested product purchase list associated with each of the influencers and retailer store layouts, and a processor coupled to the memory to determine an identity of the selected influencer from the user device and determine a geographic location of the user device. The processor may also determine a corresponding retailer store layout based upon the geographic location and determine an in-store position of the user device. The processor may also communicate the personalized influencer media content corresponding to the selected influencer and for a given suggested product based upon the determined retailer store layout and in-store position so that the user device outputs the personalized media content for the given suggested product.

Growing community of inventors

High Point, NC, United States of America

Jacob Bowman