Abstract: A method of optimizing an offer value to be offered to a selected group of consumers includes selecting a series of products, wherein each are serialized unique code marked; selecting a target group of consumers from a consumer database, each consumer with a registered consumer profile in the consumer database, the selecting based on a set of criteria; selecting a first subgroup of consumers from the target group of consumers; determining an initial offer value of the uniquely code marked product to be presented to the initial first subgroup of consumers; distributing (offering) the initial offer value to the selected initial first subgroup of consumers; a number of the selected initial first subgroup of consumers accepting the offer; associating the code of the uniquely code marked product to the acceptance of offer to the consumer profile of each the accepting consumer in the first subgroup of consumers; summing the number of accepted uniquely code marked products to a first uptake value as a function of th

Abstract: Implementations of the disclosed subject matter may provide a method of retrieving a data record including historic utility bill statements of a customer, determining a historic energy usage rate of the customer based on the retrieved data record, and determining whether the customer is eligible to subscribe to a community solar energy generating system based on geographic location of the community solar energy generating system, the determined historic energy usage rate of the customer, and the customer's geographic location. The method may determine an allocation of energy produced by the community solar energy generating system when the eligible customer is enrolled in a subscription to the community solar energy generating system. The method may generate a customer data record for the user based on credits for the allocation of energy of the community solar energy generating system and receiving energy from another energy generating system.

Abstract: A leasing AI platform receives a message pertaining to leasing a real estate unit, generates a token matrix representing at least a portion of the message, and provide the token matrix as an input to a trained machine learning model. An output of the trained machine learning model comprises an indication of a first category associated with the at least the portion of the message. The leasing AI platform identifies one or more actions associated with the first category, the actions pertaining to leasing the real estate unit, and automatically executes the one or more actions without human involvement in response to receiving the message.

Abstract: At times, it may be desirable to determine that a client system is, or to determine the number of client systems that are, presenting particular dynamic content when an auditable event occurs in the dynamic content. One manner of making the determination may include accessing presentation time information that indicates the time(s) at which one or more client systems present particular dynamic content and accessing event time information indicating the time(s) at which one or more auditable events occur in the dynamic particular content. Based on the presentation time information and the event time information, it may be possible to determine that a client system is, or to determine the number of client systems that are, presenting particular dynamic content when an auditable event occurs in the dynamic content.

Abstract: Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Abstract: A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.

Abstract: A method of processing a charging information of a vehicle and system of processing a vehicle charging information comprises a user terminal transmitting a vehicle information to a cloud server; the cloud server obtaining a charging information of the vehicle; the cloud server transmitting a reward information corresponding to the vehicle identity information to the user terminal based on the state information of the vehicle, the information comprising the charging information; and the user terminal displaying the reward information.

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 system comprises a network and a message management system. The message management system can apply a predictive model to generate a broadcast event message for transmission over the network to solicit message requests for entry into a bidding process. The bidding process can be associated with an event in the region and a bidding timeframe. The message management system can receive message requests for the event during the bidding timeframe, and select one of the message requests from a selected requestor after the expiration of the bidding timeframe. The message management system can receive an event message from the selected requestor. The message management system can present the event message via the communication service. The event message can be provided at an access point for the Wi-Fi service.

Abstract: Systems and methods of dynamically varying the intensity of providing content items in a remarketing campaign based on tracking client device interactions are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre-conversion model, responsive to receiving a second interaction. The system can assign the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for the account identifier based on the post-conversion model. The system can store the account identifier into an interest cluster based on the intent index.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.

Abstract: A system and method allows an offeror to identify parameters for determining whether a user could benefit from an offer, and transaction data for each of several users, and the parameters, are used to determine which of several users could benefit from the offer. The offer is presented to those users, along with the data of how the user could benefit, and the system and method allows the user to accept the offer, transmitting information to the offeror or his agent if the user accepts the offer. Payment may be made based on the offers, acceptances, or both.

Abstract: Example embodiments provide for a utility conservation system, whereby utility efficiency targets (i.e., the setting of one or more resource consumption threshold values—e.g., high, medium, or low resources user) may be compared to help find specific utility users (e.g., high users) by sector or other classification (e.g., hotels, with 30 or more rooms, swimming pool, etc.). In other words, example embodiments may use an industry standard classification system (e.g., the North American Industry Classification System (NAICS)) for analyzing and comparing utility customers' consumption across similar industry classes (e.g., Restaurants).

Abstract: Quantitative evaluations of friction within a customer experience may be provided to reduce abandonment and improve conversion of transactions. One or more transactions may be identified. One or more personas corresponding to the one or more transactions may be identified. One or more customer friction factor (CFF) scores corresponding to the one or more transactions may be determined. A given CFF score may be a quantification of an aspect of a given transaction that has a negative impact on a customer experience associated with the given transaction. The one or more CFF scores may be compared with one or more valid comparisons relating to the same industry and the same transaction type. One or more friction points may be identified based on the comparison of the one or more CFF scores. Addressing a friction point may reduce abandonment and improves conversion associated with transactions.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to presenting promotion indicators.

Abstract: A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Abstract: A loyalty gamification server platform with a plurality of micro-services are provided. Custom-defined rules permit gamification elements to be integrated as enhancements into loyalty applications though interaction with the micro-services using a platform Application Programming Interface (API). Artifacts associated with rewards and status level of rewards are earned based on activities associated with transactions of a user in accordance with the rules. Social standing artifacts are also earned based on the same or different activities. In an embodiment, users form a community and a dashboard microservice permits each user's ranking relative to games, competitions, status, and social standing to be viewed relative to other users of the community as a dashboard presentation on a display of a transaction terminal or a user device.

Abstract: A device may receive, from a camera device, an image that includes a person. The device may provide the image to a user recognition device and receive, from the user recognition device, a user identifier based on the person included in the image. In addition, the device may obtain user data based on the user identifier, the user data relating to prior activity relating to the person associated with the user identifier. The device may identify a user device based on a first physical location associated with the camera device and a second physical location associated with the user device, and provide the user data to the user device.

Abstract: Systems and methods are described for managing inventory stock for variable weighted and variable priced agricultural products. A system includes: a memory device storing a data structure that relates a plurality of available base unit values and a plurality of available base unit measurement types to each type of agricultural product type; an interface controller configured to provide an interactive interface for a vendor, the interactive interface including an agricultural product type field, a base unit values field, and a base unit measurement type field; and a processor in communication with the interface controller and the memory device. An example method involves: receiving, from a vendor device via the interactive interface, a selection of agricultural product type in the agricultural product type field, and a selection of a base unit value and a base unit measurement type; and storing a marketplace record to the memory device.

Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for aggregating social network feed information including, for example, means for receiving user activity data from one or more social networks; parsing the user activity data to render a plurality of targeting parameters culled from the user activity data; matching one or more of the plurality of targeting parameters with advertising conditions for a social media campaign, wherein the advertising conditions of the social media campaign are contextually relevant to the one or more targeting parameters matched; recommending the social media campaign via a user interface; receiving authorization to launch the social media campaign via input received at the user interface or automatically launching the social media campaign based on pre-defined parameters; and deploying the social media campaign to one or many social media networks. Other related embodiments are disclosed.