A system and method are disclosed for receiving a request to track data of an area of interest (AOI). The system receives a plurality of geolocation data records corresponding to a plurality of mobile devices. The system determines which mobile devices of the plurality of mobile devices have visited the AOI. For each mobile device determined to have visited the AOI, the system determines a path of the mobile device. The path including a prior location of the mobile device and a next location of the mobile device. The system transmits for display by a client device, a report including the path for each mobile device determined to have visited the AOI. The path indicating an identification of additional AOIs based on the prior location and the next location.

Systems and methods are disclosed for assisting users in assessing costs of transactions. For instance, method may include: determining a cost value of at least one transaction associated with a user; classifying the user into a category, based on consumer interest characteristics of the user and consumer interest characteristics associated with the category; determining a relatable product based on the consumer interest characteristics associated with the category, the relatable product being a product purchased by a plurality of persons classified in the category; determining a relatable cost value, the relatable cost value being a representation of the cost value of the at least one transaction using a quantity of the respective relatable product; and presenting the relatable cost value to the user.

The present disclosure relates to systems and methods for recommending locations. The systems may receive data related to a plurality of historical service requests, generate a plurality of feature matrices based on each of a plurality of candidate points of interest (POIs) associated with the plurality of historical service requests, generate a set of sample POIs from the plurality of candidate POIs based on the plurality of feature matrices, train a preliminary POI recommendation model using the set of sample POIs with associated feature matrixes; and determine at least one target POI based on a trained POI recommendation model.

Systems and methods for optimizing a pickup location are provided. A network system receives a request for transportation service from a device of a rider, whereby the request includes a requested pickup location. Based on the requested pickup location, the network system determines one or more candidate pickup locations that optimize for the pickup location. The determining the one or more candidate pickup locations includes determining an actual location of the rider, accessing index scores associated with the actual location, identifying dwell point and hotspot candidates based on corresponding index scores, and selecting one or more dwell point and hotspot candidates as the one or more candidate pickup locations. The network system then causes presentation of the one or more candidate pickup locations on a user interface on the device of the rider.

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 method for utilizing a direct, online marketing system. A database is provided that stores information usable by a merchant, the database having at least one type of information selected from a group consisting of: personal, demographic, and geographical information relating to present and potential members of goods and services provided by the merchant. Redeemable, one-time gifts are sent directly to the present and potential customers at predetermined times dependent upon the information stored in the database.

Systems and methods for determining an optimized medical plan using a machine learning-based model. The method includes receiving benchmarking data from a database including commercial claims data and past expense data. The method further includes receiving participant data from a user interface on a user device. The participant data includes demographic data, geographic data, and a past health service profile. The method also includes determining eligibility data and calculating base expense data based on the benchmarking data and the participant data. The method further includes calibrating the base expense data using the past expense data and a linear model. The method also includes calculating predicted expense data based on the calibrated base expense data. The method further includes determining medical plan configurations based on the predicted expense data and the eligibility data. The method also includes generating for display the medical plan configurations on the user device.

Aspects are disclosed that facilitate integrating hydrology data into subsequent analyses. In a particular aspect, hydrology input values associated with a plurality of hydrology parameters corresponding to a hydrology analysis are received from a user. Hydraulic parameters corresponding to a hydraulic analysis are then auto-populated with hydrology values retrieved from the hydrology analysis. In another aspect, a range of acceptable input values entered by a user are limited based on a desired jurisdictional standard. At least one of a hydrology analysis, a hydraulic analysis, or a low-impact-design (LID) analysis is then performed based on the acceptable input values received from the user.

In one aspect, a system for analyzing a route traveled by an item carrier is disclosed. The system comprises a memory circuit and a hardware processor. The memory circuit is configured to store location data points and acceleration data points received from sensors. The hardware processor is configured to receive the location and the acceleration data points from the sensors, store the location and acceleration data points in the memory circuit, and filter the stored location data points to remove a subset of location data points that represent or indicate scatter. The hardware processor is configured to identify the route traveled by the item carrier, filter the stored acceleration data points, identify a state of the item carrier for each of the filtered acceleration data points based on an analysis of the filtered acceleration data points, and verify the identified state of the item carrier.

A method for utilizing a direct, online marketing system. A database is provided that stores information usable by a merchant, the database having at least one type of information selected from a group consisting of: personal, demographic, and geographical information relating to present and potential members of goods and services provided by the merchant. Redeemable, one-time gifts are sent directly to the present and potential customers at predetermined times dependent upon the information stored in the database.