An information processing method which is performed by an information processing apparatus for forecasting demand for a service provided by a mobile vehicle, comprises a classification step of classifying a plurality of unit regions included in a first area into a plurality of categories, respectively, by using a first classification model; a first building step of building a first demand forecasting model by determining a first set of parameters to be applied to each of the plurality of categories based on the classified categories and track record data in the first area; a second building step of building a second classification model by using classification criteria possessed by the first classification model, and building a second demand forecasting model by using the first set of parameters; and a forecasting step of performing demand forecasting in a second area by using the second classification model and the second demand forecasting model.

A customizable platform for ingredient selectable skin treatments. End users purchase pre-configured kits, which provide pre-made combinations of active ingredients that are already grouped together. Next, end users configure their kits' active ingredients in the following ways: First an end user builds their own formulas with an active ingredients selection process, allowing the end user to specify the ingredients to include; Second, the end user completes a skin profile questionnaire where the end user answers a series of questions regarding their skin type and preferences. The platform analyzes user data to determine, create, and assemble the ideal skincare product for the end user. Skin care products are shipped in packaging that includes a base cream, active ingredients, and a spoon or other stirring device or apparatus for mixing. Upon receiving the kit, the end user mixes the cream together with the active ingredients to create a potent solution.

Detecting trends is provided. The method comprises receiving, from a number of data sources, data regarding choices of people at a number of specified events and public places and determining, according to a number of clustering algorithms, trend clusters according to data received from the data sources cross-referenced to defined event types and place types. Customer profile data and preferences are received from a number of registered customers through user interfaces, and a number of customer clusters according to the customer profile data and preferences are determined according to clustering algorithms. Correlation rules are calculated between the trend clusters and the customer clusters. A number of trend predictions and recommendations are then sent to a user regarding a number of specified events or time frames according to the correlation rules.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating risk are provided. One of the methods includes: obtaining a plurality of transactions each comprising a plurality of data dimensions, wherein some of the plurality of transactions are labeled as risky transactions and some of the plurality of transactions are labeled as safe transactions; obtaining at least one of the plurality of data dimensions as an output space and the plurality of data dimensions other than the at least one data dimension as an input space; initializing a first mapping from the input space to a latent space and a second mapping from the latent space to the output space, wherein the first mapping comprises mapping the input space to the latent space according to an inverse of a generalized linear model; and optimizing the first mapping and the second mapping to generate a Bezier surface.

The embodiments of the present disclosure provide systems and methods for outbound forecasting, comprising receiving an initial set of solutions comprising receiving a prediction of a regional sales forecast indicative of a customer demand for each stock keeping unit (SKU) in a plurality of regions, receiving a prediction of a correlation of one or more SKUs that will be combined in customer orders in the plurality of regions, receiving a prediction of a size of customer orders in the plurality of regions, wherein a customer order profile is simulated based on the predicted correlation and the predicted size, applying a fulfillment center (FC) priority filter to the simulated customer order profile, predicting a FC for managing outbound of each SKU based on the predicted regional sales forecast and the simulated customer order profile, and modifying a database to assign the predicted FC to each corresponding SKU.

Techniques for presenting an expense report reviewing interface are disclosed. An expense auditing system receives expense descriptions associated with expenses incurred by one or more employees. The expense auditing system determines associations between the expense descriptions and geographical locations where the expenses were incurred. The expense auditing system presents a graphical user interface that includes: (a) a geographical map representing the geographical locations where the expenses were incurred; and (b) an expense auditing overlay that, based at least on the associations between the expense descriptions and the geographical locations where the expenses were incurred, visually associates the expenses with corresponding locations on the geographical map.

Provided are an ordering method and apparatus for consolidating purchase orders for products or services into one order under a particular condition and collectively processing the purchase orders when a plurality of purchasers in an acquaintance relationship make the purchase orders using electronic communications devices. According to the ordering method and apparatus, when a single purchaser makes an order, a group consisting of potential purchasers who can make a group order is created using acquaintance information of the single purchaser, and order information of the single purchaser is shared among the group members. According to the ordering method and apparatus, a group consisting of group purchasers desiring ordering among the group members is created, and group order information is generated using order information received from the members. The generated group order information is transferred to a seller, and thus an order is finally made. According to the ordering method and apparatus, when a plurality of purchasers make orders for products or services through electronic communications devices, the orders are consolidated into a group order and transferred to a seller. Therefore, it is possible to receive an incentive for the group order provided by the seller, and the respective purchasers can request proxy purchases of a particular purchaser without explaining their orders one by one.

A method of online event selection system incorporating a user terminal, server where the user is required to make an account distinguishing on the basis of location via location service function enabled and or user input. In the further embodiment of the invention, the system provides an interactive display allowing members to see the most populated social venues, events, and or location; in any given location with multiple novel features including but not limited to point system, allocation of points to users and locking of events for the user.

Systems and methods for providing tuition enrollment insurance for institutions of higher education (IHEs). The tuition enrollment insurance can be based upon parametric analytic triggers. The systems and methods can provide a tuition enrollment insurance data input interface, statistical modeling, visual analytics, a user selection interface, and a monitoring interface for tracking compliance and results.

A processing apparatus is provided, to generate, based on a demand by service users and a supply of service providers for transport-related services at a defined geographical area over a defined time period, respective demand data indicative of service users with bookings and service users with the bookings and allocated with service providers, respective supply data indicative of service providers that are available during the defined time period for the services and service providers that become unavailable by the end of the defined time period, first metric data based on the respective demand data, second metric data based on the respective supply data, and score data indicative of a score indicator for determining the measure of supply-demand balance for the defined geographical area, the score indicator being computed based on the first metric data and the second metric data.