Disclosed are systems and methods for identifying location-based information associated with a product on a web page. The method may include: detecting user navigation by the user of the web page; detecting the at least one product on the web page; identifying one or more merchants having the detected at least one product in stock; determining a user location of the user; determining the identified one or more merchants having the detected at least one product in stock and having a location within a predetermined distance of the user location; generating a list of merchants, the list including the determined one or more merchants having the detected at least one product in stock and having the location within the predetermined distance of the user location; and executing a browser extension to display, on the web page associated with the at least one product, the generated list of merchants.

The present invention relates to methods for evaluating the effectiveness of all types of communication carried on offline communication media so as to generate data equivalent to the data obtained in online communication media. The present invention uses tangible tools such as fixed-line telephones, cellphones, computers, tablets and any other wearable mobile device to generate that data that will be used in media plans that are much more precise and efficient than the plans currently known. Finally, the present invention relates to said media plan obtained using one of said methods as well as the purchase of optimized media.

Embodiments provide computer apparatuses, computer systems and computer-executable methods for recommending a commercial item or entity to a consumer based on geographic zone data. The method includes receiving a first predetermined geographic zone, a first importance score associated with a consumer for the first predetermined geographic zone, and a second importance score associated with a commercial item or entity for the first predetermined geographic zone. The method also includes programmatically generating an overlap score based on the first and second importance scores, and programmatically generating a relevancy score based on the overlap score, the relevancy score indicating a probability that the commercial item or entity is of relevance to the consumer. The method further includes, based on the relevancy score, transmitting instructions to a computing device associated with the consumer to cause the computing device to render a representation of the commercial item or entity.

Embodiments provide computer apparatuses, computer systems and computer-executable methods for recommending a commercial item or entity to a consumer based on geographic zone data. The method includes receiving a first predetermined geographic zone, a first importance score associated with a consumer for the first predetermined geographic zone, and a second importance score associated with a commercial item or entity for the first predetermined geographic zone. The method also includes programmatically generating an overlap score based on the first and second importance scores, and programmatically generating a relevancy score based on the overlap score, the relevancy score indicating a probability that the commercial item or entity is of relevance to the consumer. The method further includes, based on the relevancy score, transmitting instructions to a computing device associated with the consumer to cause the computing device to render a representation of the commercial item or entity.

Provided herein are systems, methods and computer readable media for managing a sales pipeline, and in some embodiments, calculating supply based on travel propensity. An example method comprises identifying a total demand for a promotion tuple at a geographic location, determining, using a processor, a promotion area for the promotion tuple, the promotion tuple comprising at least a category, price information and a geographic area, identifying one or more promotions offered by a promotion and marketing service that comprise at least the category and the price information of the promotion tuple, determining whether the total demand for the promotion tuple at the geographic location is satisfied, wherein the total demand is satisfied in an instance in which the geographic location is within the promotion area for the one or more promotions, and identifying a demand gap in an instance in which the total demand for the promotion tuple at the geographic location is not satisfied.

An information processing device includes a control unit configured to perform: determining a replenishment commodity which is a commodity with which a mobile-shop vehicle is to be replenished based on sales conditions of a plurality of types of commodities when the commodities are sold by the mobile-shop vehicle in a predetermined sales territory; and creating a traveling plan for the mobile-shop vehicle based on information on a purchase location in which the replenishment commodity is to be purchased.

Various embodiments are directed to techniques for defining and optimizing the boundaries of geospatial areas predictive of various outcomes. A geographic area of interest is defined, and a model trained to predict the variable of interest within the geographic area of interest is trained using training data selected for the geographic area. The model is scored for each cell in a meshed grid defined over the geographic area of interest and, thereafter, a contour-finding algorithm is applied to the grid to define the optimized geographic area.

The disclosed embodiments generally relate to in-store customer traffic analysis systems and methods. The system includes at least one sensor positioned within a retail store, at least one display associated with the at least one sensor, one or more memory devices storing instructions and one or ore hardware processors configured to execute the instructions to perform operations. The operations include receiving a sensor signal indicating that a user device is within a proximity to the at least one sensor in the retail store, extracting a user device identifier from the sensor signal, correlating the sensor signal to the at least one display, generating a foot traffic record associated with the user device identifier and the at least one display, based on the received sensor signal, and storing the generated foot traffic record.

Aspects of the present invention provide devices that index geographic locations with comparative indicators that are determined from a sentiment analysis of opinion data, wherein the comparative indicators may include sums of different indices that are each determined from sentiment analysis of opinion data.

Disclosed herein are systems, methods, and machine readable media for implementing a service for sharing and providing information about food and recipes, and in certain embodiments, including a step of automatically identifying dishes present in photos stored on a mobile device. Automatic identification of dishes in images may be used to populate a food and recipe database, suggest restaurants serving similar food, estimate nutritional content in a user's diet, populate a shopping list, and provide other food related services.