A subscription-based system for providing commerce information for one or more mobile devices for one or more merchants. Some techniques employed feature a subscription-based method for presenting commercial resources to a mobile device. The method involves receiving mobile device user information relating to a geographic location to locate one or more merchants within a subscription-based shopping network, and receiving mobile device user information relating to a merchant type within the subscription-based shopping network. The method also involves receiving, from a database over a communication network, information for one or more merchants associated with the mobile device user information for the geographic location and the merchant type, and presenting the associated merchant information on the mobile device. The associated merchant information can include a merchant name and address, a merchant telephone number, a merchant advertisement, a merchant coupon, or a merchant product or service offering to subscribers of the shopping network.

A method for identifying an optimal ticket for purchase and using the optimal ticket to open a venue for a gate of a venue.

The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the one or more processors may be configured to calculate an overall merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the overall merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.

Methods and systems for scheduling tasks for field professionals include: receiving a set of first requests for on-site assistance from a first set of users; receiving a set of second requests for remote assistance from a second set of users; assigning a plurality of location-based tasks associated with the set of first requests to one or more field professional; receiving real-time information associated with the one or more field professional including current location; determining based on the real-time information whether the one or more field professional can complete a location-agnostic task associated with a second request after completing a first location-based task and before starting a second location-based task; and assigning the location-agnostic task to the one or more field professional.

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.

An information processing apparatus disclosed includes a control unit configured to execute the processing of acquiring location information indicating the present locations of empty taxis, detecting an overpopulated region in which there are taxis larger in number than a predetermined upper limit based on the location information, and sending to a taxi located in the overpopulated region a removal request containing information requesting its removal to a specific region other than the overpopulated region and information about an incentive that will be given if the taxi removes to the specific region.

A commodity demand prediction device according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire information regarding a person expected to be present in an area where a store is located in at least a part of a time zone in which a demand for a commodity is predicted; and predict the demand for the commodity in the store in the time zone based on the information regarding the person and a purchase tendency of the person for the commodity.

A vehicle allocation system includes a processor, a recording unit, and a display apparatus. The recording unit includes a vehicle information recording unit which records information regarding delivery vehicles, a cargo information recording unit which records information regarding new delivery packages, and an index calculation processing unit which calculates a plurality of indexes and executes display of information based on the calculated indexes. The processor reads the index calculation processing unit to calculate for each delivery vehicle an index pertaining to movement distance, an index pertaining to profit, and an index pertaining to a ratio of loaded travel distance to total travel distance, uses weights on the calculated indexes to calculate an overall index for each delivery vehicle, and causes display of information regarding the indexes and information in which the overall indexes for the delivery vehicles are lined up in descending order.

A ticket exchange server is configured to determine a number of tickets to distribute for an event. The ticket exchange server accesses, for a stadium, training data describing attendance at historical events, historical opponents of a sports team, and a historical win/loss record of the sports team. The ticket exchange server trains a machine-learned model configured to predict an attendance for a future event at the stadium based on an opponent of the sports team at the future event and a current or predicted win/loss record of the sports team. The ticket exchange server selects an event for the sports team against an opponent and determines a predicted attendance using the machine-learned model. The ticket exchange server identifies a number of tickets greater than a capacity of the stadium to make available based on the predicted attendance and distributes the number of tickets to prospective attendees.

A system (100) and method for automated discount recommendations. The system (100) includes a customer relationship management database (102), a server computer (104), and a user device (112). A system processing unit (106) extracts data from the customer relationship management database (102), and further uses the trained artificial intelligence based classification model to identify the open deals that are on risk. Then the system processing unit (106) uses the trained machine learning scoring model, to recommends best optimize sales quote to sales representative for winning the deal. A system server memory (120) stores computer-readable instructions, the trained artificial intelligence based. classification model and the trained machine learning scoring model. The user device (112) is connected to the server computer (104). A sales representative receives optimize sales quote, on a user device (116), for winning the deal.