A computer-implemented method for anonymizing online transaction details may include performing a process to generate an identifier (ID) and reference address for a user, and receiving a request for transaction processing from an e-commerce server. The request may include first data including: information associated with a purchase of a product to be delivered to the user; the identifier; and the reference address. The method may further include: in response to the request, determining whether the ID and reference address are included in the request, and if so, obtaining the accurate address and shipping rate rules; applying, based on the first data and the accurate address, the shipping rate rules to determine accurate shipping rate cost information associated with delivering the product to the accurate address; performing an anonymizing process on the accurate information to obtain anonymous shipping rate information, and transmitting the anonymous shipping rate information to the e-commerce server.

The Hospitality Plus app is a website/IOS/Android app for all hospitality needs it is a network for builders, investors, technicians, contractors, providers, hotel management, valet, chiefs, food, and anything hospitality-related all in one place. Divided into sectors such as but not limited to government, hotel, medical, student-housing, apartment, hotel-management, extended-stay, and residential. Marketing/advertising on the app by having clients place bids on builders/contractors/technicians/services/hospitality products and anything in the hospitality industry. The app is to broker the deals taking a percentage of the sale. Clients can book hotels through hotel partners, have hospitality companies' post-employment opportunities, networking hospitality events, a premium subscription; promote products; List industry services and vendors, pay for business placement in listing management Create customer segmentation with marketing, company directories, social media, networking, members profiles, hospitality services/products, network-events, paid-listing management, industry-segmentation, request-a-quote, in one place for anything related to hospitality.

A method, according to some implementations, includes generating a plurality of base datasets using a random number generator and determining scenario specifications. The method may further include identifying at least one transformation function for at least one of the plurality of base datasets based on the scenario specifications and transforming the at least one of the plurality of base datasets using the at least one transformation function. In some cases, the method may also include generating scenario parameters based on the at least one transformed datasets.

The present disclosure provides method and system to facilitate definition, tuning and visualization of a geo-fence at a computer system. The method comprises: receiving input parameters for a geo-fence, the input parameters including one or more parameters specifying a geographical region; sampling historical mobile signals based on one or more of the input parameters; dividing the geographical region into a plurality of areas; determining a weight for each respective area of the plurality of areas based at least on density of sampled mobile signals associated with geographical locations in the respective area; selecting a subset of the plurality of areas based on respective weights of the plurality of areas; and forming the geo-fence using the subset of the plurality of areas, the geo-fence including one or more contiguously closed regions each formed by a cluster of adjacent areas among the subset of the plurality of areas.

Systems, methods and computer-readable storage media utilized to prepare datasets for geo experiments. One method includes receiving one or more input parameters. The method further includes extracting, from the data, training data. The method further includes calculating a difference in input data and a difference in response data of the training data. The method further includes determining a first plurality of geographic pairs. The method further includes extracting, from the data, evaluation data. The method further includes separating each geographic pair of the first plurality of geographic pairs into a treatment region or a control region for a plurality of simulations of a plurality of different simulation subsets for each of a plurality of different subsets of geographic pairs. The method further includes calculating a plurality of uncertainty estimates. The method further includes selecting a first subset of geographic pairs and providing the selected subset of geographic pairs.

A method for determining a delivery range, including: obtaining historical behavior data in multiple territorial blocks and historical order data of multiple merchants (101); obtaining a target merchant set in each territorial block according to the historical behavior data in the multiple territorial blocks and the historical order data of the multiple merchants (102); and determining a delivery range for each merchant based on the target merchant set in each territorial block (103).

According to an embodiment of the present invention, an analysis server includes an in-site location information acquisition unit configured to acquire first location information indicating a location of a terminal that is measured when the terminal of a user is connected to a plurality of location measurement devices installed inside a prescribed site in association with in-site identification information for identifying the user or the terminal, an off-site location information acquisition unit configured to acquire second location information indicating a location of the terminal measured in a measurement method different from that of the first location information outside the site in association with off-site identification information for identifying the user or the terminal, an analysis unit configured to associate the first location information with the second location information by associating the in-site identification information with the off-site identification information and analyze the first location information and the second location information that have been associated, and an output unit configured to output analysis results.

A computer implemented method for determining demographic information to facilitate mobile application user engagement in a remote computing environment is provided. The method includes capturing and compiling social media data for a user into a first database; processing the social media data by detecting explicit identifications of demographic attributes of the user; setting a probability value of 100% for each explicitly identified demographic attribute for a category; setting a probability value of 0% for each demographic attribute not explicitly identified for the category; determining a derived attribute for a second category by searching a secondary database using the explicitly identified demographic attribute; training a neural network using training data, the training data comprising the explicitly identified demographic attribute and its associated probability value, and the derived attribute and its associated probability value; inputting, to the neural network, social media data of a second user; predicting, by the neural network, demographic attributes of the second user.

Systems, methods, and apparatuses for generating a consumable product quotation are provided. An example method may include receiving a surface status. The example method may also include determining, by processing circuitry, consumable product requirements for performing a job based on the surface status and consumable product parameters accessed in a consumable products database. The example method may also include providing the consumable product requirements for output to a user. The consumable product requirements may include types of consumable products for completing the job.

A method, a computer system, and a computer program product for managing inventory for an organization. The computer system identifies human resources data regarding employees of organizations. The human resources data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system determines a change in market dynamics relating to a set of geographic regions based at least partially on the human resources data. The computer system identifies transaction data for transactions involving a business merchant within a particular geographic region and a consumer. The computer system generates a suggested inventory for the business merchant. The suggested inventory is based at least partially on the determined change in market dynamics for the set of geographic regions in the transaction data for the business merchant.