Abstract: A product stock notification system may include a virtual shopping server to obtain images of available products on a display within a store from cameras within the store, identify the available products on the display based upon the images, and determine a quantity of the available products on the display from the images. The server may obtain a current stock quantity for each available product within the store, provide an image to a user device, and permit user selection of available products for purchase associated with the image. The server may, when, for the user-selected available product, the quantity of available products or the current stock quantity are below a threshold, obtain an image of the display adjacent the available product including a replacement product, provide the image to the user device, and cooperate with the user device to prompt the given user to select the replacement product for purchase.

Abstract: A shopper assistance system may include a mobile device associated with a shopper, and a shopper assistance server. The server may, as the shopper moves along a path of travel within a physical store, cooperate with the mobile device to obtain geographic position data associated with a shopper position within the physical store, and determine a shopper dwell time at a given shopper position within the physical store based upon the geographic position data. The server may also determine a product for purchase adjacent the shopper based upon the given shopper position and cooperate with the mobile device to provide a user interface for providing shopper assistance with the product for purchase based upon the shopper dwell time. The server may also generate and communicate to the mobile device a digital promotion based upon the shopper dwell time.

Abstract: A physical coupon redemption system may include a mobile device associated with a retailer, and a coupon redemption server. The server may obtain a first physical coupon image from the mobile device for a corresponding first physical coupon, and generate a first validation code based upon the first physical coupon image and the retailer. The server may also communicate the first validation code to the mobile device for the given retailer to add the first validation code to the first physical coupon, and obtain a second physical coupon image from the mobile wireless communications device for a corresponding second physical coupon and having a second validation code therein. The server may also determine whether the first and second validation codes match and determine whether the first and second physical coupon images indicate a match between the corresponding first and second physical coupons, and when so redeem the first physical coupon.

Abstract: A digital promotion processing system may include a shopper device associated with a given shopper, and a promotion processing server. The promotion processing server may be configured to determine available digital promotions for a given product for purchase, each available digital promotion having different redemption terms. The promotion processing server may also be configured to cooperate with the shopper device to prompt the shopper to select one of the available digital promotions to apply toward purchase of the given product, store shopper promotion terms preference data based upon the selected digital promotion, and update the shopper promotion terms preference data based upon a plurality of new selections of available digital promotions. The promotion processing server may further be configured to generate and communicate a personalized digital promotion to the shopper device. The personalized digital promotion may have redemption terms based upon the updated shopper promotion terms preference data.

Abstract: 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.

Abstract: A digital coupon processing system may include a user device and a digital coupon processing server. The server may generate a digital coupon for a given product for purchase, cooperate with a blockchain server to generate a non-fungible token (NFT) associated with the digital coupon on a blockchain, and place the NFT into a redeemable account on the blockchain. The server may also assign a unique coupon identifier (UCI) to the NFT, and communicate the digital coupon and UCI to the user device for redemption. The server may also, upon redemption of the digital coupon, obtain the UCI from the given shopper, and determine if the NFT is on the redeemable account on the blockchain based upon the UCI, and when so, cooperate with a point-of-sale (POS) device to apply the digital coupon to the product for purchase, and transfer the NFT to a non-redeemable account on the blockchain.

Abstract: A system for a product bundle may include a user device for acquiring an image including stocked food products, and a bundle server configured to obtain the image from the user device. The bundle server may identify each of the stocked food products using image recognition, and associate at least one of the identified stocked food products with a recipe. The recipe may include needed food products. The bundle server may generate a product bundle for purchase that includes the needed food products. The product bundle may have a bundle price less than a sum of individual purchase prices of each of the needed food products. The bundle server may also communicate the product bundle for purchase and the bundle price to the user device, and generate a digital promotion redeemable toward the purchase of the product bundle and communicate the digital promotion to the user device.

Abstract: A self-checkout verification system may include a user device configured to collect user mobile checkout image data from products to be purchased in a store during a mobile checkout process, generate a mobile checkout list of the products to be purchased based upon the collected mobile checkout image data, and process payment based upon the mobile checkout list. The system may also include a self-checkout verification station in the store and configured to obtain the mobile checkout list from the user device, collect verification image data from a plurality of products presented for verification, and generate a verification list based upon the verification image data. The self-checkout verification station may also be configured to determine a discrepancy between the verification list and the mobile checkout list, and generate and communicate a notification based upon the discrepancy.

Abstract: A shopper information processing system may include a shopper device associated with a given shopper, and a shopper information processing server. The shopper information processing server may be configured to store shopper information associated with the given shopper on a blockchain, cooperate with the shopper device to store shopper permissions for selectively accessing, on the blockchain, the shopper information, and permit at least one loyalty program to access the selected shopper information on the blockchain based upon the shopper permissions. The shopper information processing server may also be configured to generate a digital coupon based upon an amount of shopper information permitted to be selectively accessed by the at least one loyalty program, and communicate the digital coupon to the shopper device.

Abstract: A digital promotion processing system may include a shopper device associated with a given shopper, and a promotion processing server. The server may obtain product purchase data associated with the given shopper, and generate digital promotions based upon the product purchase data, each of the plurality of digital promotions being redeemable for a corresponding product for purchase. The server may also cooperate with the shopper device to display at least two of the digital promotions as a single combined digital promotion for corresponding complementary products for purchase and having associated therewith a single input for clipping the single combined digital promotion to a digital wallet. The server may also cooperate with the shopper device to display at least one other of the digital promotions and with an associated input for clipping of the corresponding digital promotion to the digital wallet associated with the given shopper.

Abstract: A promotion processing system may include a user device associated with a given user, and a promotion processing server configured to generate promotional content. The promotional content may include a link to a given image corresponding to a digital promotion. The promotion processing server may also communicate the promotional content to the user device. The user device may communicate a request to the promotion processing server for the given image based upon the link, and communicate a user identifier associated with the given user to the promotion processing server. The promotion processing server may select the given image based upon the link and the user identifier, communicate the given image to the user device for viewing with the promotional content, and save the corresponding digital promotion to a digital wallet associated with the given user based upon the image being displayed at the user device.

Abstract: A product substitution system may include a shopper device associated with a given shopper, and a product substitution server. The server may obtain descriptive purchased product data for purchased products from a retailer, and iteratively operate a natural language processing (NLP) algorithm to accept, as input thereto, the descriptive purchased product data, and generate, as output therefrom, a multi-dimensional representation of a relationship among the purchased products. The server may also, for each iteration, determine a product-to-product affinity based upon the multi-dimensional representation of the relationship, and determine a recommended substitute product for one of the products based upon the determined product-to-product affinity, and communicate the recommended substitute product to the shopper device. The server may also, for each iteration, obtain updated descriptive purchased product data for an updated plurality of purchased products from the retailer.

Abstract: A digital promotion processing system may include a shopper device associated with a given shopper, and a promotion processing server. The server may generate a given promotion identifier associated with a digital promotion for a given product. The digital promotion may be redeemable via different redemption channels and may have a redeemable value associated therewith. The server may communicate the digital promotion to the shopper device, cooperate with the shopper device to display, on a display of the shopper device, the digital promotion, and cooperate with the shopper device to permit shopper-selection of one of the different redemption channels based upon display of the digital promotion. The server may determine when the given product has been purchased by the given shopper, and when so, apply the redeemable value according to the shopper-selected redemption channel and based upon the given promotion identifier.

Abstract: A recall and promotion processing system may include shopper devices, each associated with a corresponding shopper, and a recall-promotion processing server. The server may obtain historical purchase data associated with the shoppers, and determine whether a given recalled product was purchased by a given shopper based upon the historical purchase data. The server may, when the given recalled product was purchased by the given shopper, generate and communicate a recall notification and a digital promotion to the corresponding shopper device. The digital promotion may be redeemable toward a product for purchase based upon the given recalled product and may have a redeemable value associated therewith. The server may, when the given recalled product was purchased by the given shopper, obtain redemption data associated with the digital promotion for the shoppers, and adjust a subsequent redeemable value for a subsequent digital promotion based upon the redemption data.

Abstract: A component supply processing server may obtain component purchase data for different components from different component suppliers, and obtain purchase settlement data between retailers and manufacturers, each manufacturer selling a product to the retailers, and each product including at least one of the different components. A learning algorithm may determine a predicted shortage of a given component by associating the manufacturers with a given component based upon the corresponding product, and accepting the component purchase data to determine component purchase patterns for each of the different components. The algorithm may determine the predicted shortage by the purchase settlement data to determine product purchase patterns for the products, and correlate the component and product purchase patterns to determine the predicted shortage.

Abstract: A content influencer scoring system may include influencer computers each associated with a respective content influencer having influencer historical performance data and legacy influencer content associated therewith. A remote server may obtain advertisement campaign data associated with an advertisement campaign and parse the advertisement campaign data for advertisement keywords. The remote server may match content influencers to the advertisement campaign data based on the advertisement keywords and, for each content influencer, generate an advertisement campaign score.

Abstract: A digital wallet generation system may include a user device associated with a given user and configured to acquire an image of a health insurance card associated with the given user. The health insurance card may have a unique identifier (UID). The system may also include a digital wallet server configured to generate a digital wallet for the given user based upon the UID, and communicate with a health insurance provider server associated with a health insurance provider to determine at least one of an available product and service provided by the health insurance provider for the benefit of the given user and paid by the health insurance provider based upon the UID. The server may also be configured to generate a digital coupon having a redeemable value redeemable toward the at least one of the available product and service, and store the digital coupon in the digital wallet.

Abstract: A system may include a point-of-sale (POS) terminal, and a server configured to obtain, from the POS terminal, a purchase transaction identifier and a purchase amount associated with a purchase transaction of a given user. The server may also be configured to obtain, from a payment card processing server, a payment card transaction token associated with the purchase transaction, and match the payment card transaction token to the purchase transaction identifier, and based thereon, generate a loyalty account associated with the given user based upon the payment card transaction token. The server may also be configured to credit the loyalty account associated with the given user based upon the purchase amount, and generate and communicate a notification to the given user of the loyalty account and the associated credit.

Abstract: A system may include a remote device and a server. The server may be configured to store a grocery items purchase history for a given user, and determine a medication to be dispensed to the given user. The server may also be configured to compare the medication to the grocery items purchase history and determine a grocery item having an interaction with the medication, and determine a substitute grocery item for the grocery item having the interaction with the medication. The server may generate a digital promotion for the substitute grocery item, and communicate the digital promotion to the remote device.

Abstract: A shopper valuation system may include a user device associated with a given shopper, and a shopper valuation server. The server may obtain historical purchase data associated with shoppers at a given retailer, apply a machine learning algorithm to determine a corresponding shopper value for each of the shoppers, and obtain historical purchase data associated with the given shopper at the given retailer. The server may apply the algorithm to determine a shopper value for the given shopper based upon the historical purchase data for the shoppers and, the corresponding shopper values for the shoppers, and update the machine learning algorithm based upon the shopper value for the given shopper. The server may also communicate a notification to the user device soliciting the given shopper to enroll in a retailer loyalty program for payment to the given shopper of the shopper value for the given shopper.