Patent classifications
G06Q30/0205
METHODS AND SYSTEMS FOR REAL-TIME INVENTORY REALLOCATION FROM SUPPLIER TO RETAILER
Methods and systems for reallocation of inventory from a supplier to a retailer are described. To fulfill a retailer's order for a total number of units of a product, a supplier's inventory data is updated by decreasing unit counts across different warehouses in different geographic regions, and the retailer's inventory data is updated by increasing unit counts correspondingly. After detecting an event that is indicative of demand for the product at a first geographical region, a first number of units is reallocated to a first warehouse at the first geographic location from a second warehouse at a second geographic region. The supplier's inventory data is updated by decreasing the unit count at the first warehouse by the reallocated number and increasing the unit count at the second warehouse by the reallocated number. The retailer's inventory data is updated correspondingly.
UTILIZING LIFETIME VALUES OF USERS TO SELECT CONTENT FOR PRESENTATION IN A MESSAGING SYSTEM
The subject technology determines monthly active users (MAU) and penetration for global users and users in a specific country. The subject technology predicts monetization values for the users in the specific country. The subject technology determines a lifetime value of the users in the specific country based at least in part on the monetization values. The subject technology selects at least one augmented reality (AR) content generator based at least in part on the determined lifetime value of the users in the specific country. The subject technology causes, at a client device, display of the at least one AR content generator.
SYSTEM AND METHOD FOR AUTOMATED SALES FORECAST ON DEAL LEVEL DURING BLACK SWAN SCENARIO
The present invention relates to a method and system for automated sales forecast on a deal level during the black swan scenario. A list of features is being generated that influence the sales forecast on the deal level. The data related to a list of features are processed and transformed into an appropriate form through feature engineering. The artificial intelligence-based model is being selected and trained by the feeding data. The artificial intelligence-based model is optimized with the help of hyper parameter values. The artificial intelligence-based model uses previous data and generates probability scores, forecast close date postponement, and forecast amount on which sale deal would close. Thus, based on the above forecast, overall sales on the deal level are being forecasted. The artificial intelligence-based model is trained and deployed for the sales forecast on the deal level with the help of a computational unit.
GUIDED REAL ESTATE SEARCH USING CONTEXTUAL REFINEMENT
A guided search system for suggesting and arranging filter criteria within a user interface for presentation to a user to help guide the user's search for listings is disclosed. The system builds one or more filter criteria frequency data structures indicative of the number of times each filter criterion has been used to filter search results and how often different filter criteria are used together. The system uses the frequency data structures to predict which filter criteria a user will likely employ to narrow their search given the filter criteria the user has already used. The system provides techniques for arranging or rearranging filter criteria within a user interface, by moving, placing, or ordering suggested filter criteria within the user interface, where a user is likely to be able to recognize and interact with the placed filter criteria, based on the determined amounts of use.
PROVIDING DYNAMIC ALTERNATE LOCATION TRANSPORTATION MODES AND USER INTERFACES WITHIN MULTI-PICKUP-LOCATION AREA GEOFENCES
The present disclosure relates to systems, non-transitory computer readable media, and methods that intelligently provide dynamic transportation modes and corresponding user interfaces to client devices within multi-pickup-location area geofences to satisfy dynamic limitations corresponding to certain alternate location options. For instance, the disclosed systems can provide a transportation option corresponding to a first pickup location for display via the requestor device. Based on determining that the requestor device is associated with a location within a geofence of a multi-pickup-location area, the disclosed systems can provide a selectable mode option for initiating an alternate location transportation mode that includes modifying the pickup location for a transportation request to a second pickup location. Furthermore, the disclosed system can dynamically change access to and transportation values associated with alternate location transportation modes to satisfy dynamic limitations imposed across various pickup locations.
METHODS AND APPARATUS TO ESTIMATE POPULATION REACH FROM MARGINALS
Methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach from marginals. Example apparatus disclosed herein are to determine an audience relationship value based on first audience exposure values for a recorded audience of a media and a first de-duplicated audience value for the recorded audience of the media, determine bounds of a pseudo universe estimate of a population audience of the media based on the audience relationship value and second audience exposure values for the population audience of the media, and iteratively determine the pseudo universe estimate of the population audience and a second de-duplicated audience value for the population audience of the media based on the audience relationship value and the second audience exposure values, the pseudo universe estimate of the population audience to be within the bounds.
Door to door sales management tool
A door to door sales management tool utilizes a computer system for visually dividing geographic areas among sales teams. The system can be configured to display on a digital interface a visual depiction of a map. The system can also be configured to receive one or more indications defining boundaries of a first geographic area within the map. The system can assign a first user to the first geographic area. Assigning the first user to the first geographic area can comprises receiving a physical association of a visual indicator representative of the first user with a visual indicator representative of the first geographic area through a touch interface.
DIGITAL ANTHROPOLOGY AND ETHNOGRAPHY SYSTEM
In embodiments, a digital anthropology and ethnography system is disclosed. In embodiments, the digital anthropology and ethnography system automates marketing-related tasks, such as customer segmentation, topic modeling, and media planning. In embodiments, the digital anthropology and ethnography system is configured to perform analytics related to a set of media assets, including images captured by a self-contained photography studio system.
Systems and methods for managing a trusted service provider network
A system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request from a service provider to be added to a trusted network of service providers, receive health safety data of a health data stream associated with the service provider and risk data of a risk data stream indicating risk levels associated with the service provider, determine that the service provider meets a level of heath safety by correlating the health safety data of the health data stream with the risk data of the risk data stream, receive a request from a device for a service provider recommendation of the trusted network of service providers, and provide an indication of the service provider to the device in response to a reception of the request for the service provider recommendation.
System and method for generating purchase recommendations based on geographic zone information
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.