A historical-data module may retrieve historical prices and/or sales numbers for products at a presently-relevant, historical reference time and at other times in an interval encompassing the reference time. A comparison module may generate relative price values and/or sales-number values by comparing prices and/or sales numbers at the reference time to those at other times in the interval for various products. A selection module may select a subset of products with a favorable weighted combination of relative price values and/or sales-number values for a product report presented over a communication network, potentially with a graph of historical prices for the products. Information about a viewer of the product report may further tailor the report. Viewer information may include signals of product interest identified in social-networking posts by natural language processing, viewer search and/or purchase data, the viewer's relations in a social graph of a social networking platform, and/or geo-targeting.

A geo-analytical program is integrated into a customer relationship management (CRM) solution. Via the geo-analytical program, users are able to define layer configuration settings for a layer for plotting on a map-based GUI. Layer configuration settings for a respective layer comprise an indication of a data object type serving as a base object type for the respective layer. A method involves receiving from a user user-defined configuration settings for a first layer, electronically receiving, at a geospatial computer system, geospatial data for a plurality of connected devices; electronically receiving, at the geo-analytical program from the geospatial computer system, real-time geospatial data for the plurality of connected devices; and utilizing, by the geo-analytical program, the user-defined layer configuration settings for the first layer to plot the first layer on the map-based GUI based on the received real-time geospatial data for the plurality of connected devices.

A method of implementing sub-table replication starts with the processor detecting a first update to an entitlements table. The processor then performs incremental replication of the data table by causing a full inventory replication at a next refresh to be executed for provider accounts associated with the provider account identifiers in the entitlements table. Other embodiments are also described herein.

A computer-implemented method includes: obtaining a model comprising an environment module, a resource allocation module, and a personal recommendation module, receiving a real-time online signal of visiting the platform from a computing device of a visiting user; determining a resource allocation action by feeding user contextual data of the visiting user to the model; and based on the determined resource allocation action, transmitting a return signal to the computing device to present the resource allocation action.

An auto-replenishment platform may receive retailer, manufacturer, and 3.sup.rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3.sup.rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms. Additionally, the auto-replenishment platform may group a consumer's products for shipment which provides additional efficiencies for the customer and retailer/manufacturer/3.sup.rd party in the form of time savings and/or reduced shipping and handling cost and related logistical advantages.

The present disclosure provides a method for providing cost efficient probable accommodation facilities in each of one or more area clusters. The method includes a first step to receive a first set of data associated with a plurality of organizations at a cluster identification system. The method includes another step to fetch a second set of data associated with a plurality of competitors. The method includes yet another step to obtain a set of rules associated with a plurality of parameters. The method includes yet another step to perform analysis of the first set of data, the second set of data, and the set of rules in real-time to identify the one or more area clusters in the geographical region based on the analysis of the first set of data and the second set of data with facilitation of the set of rules in real-time.

Embodiments of a system may comprise databases and a processor that receives a first filter item and a database filter item, generates a first database based on the first filter item, integrate data from the first database into the user database to create an updated plurality of user records, generate a second database based on a selected set of records, in the updated plurality of user records, corresponding to the database filter item, determine metrics that correspond to the second database, generate a model to segregate the second database using the metrics, receive criteria, compare the segregated second database with the criteria to remove records that do not meet the criteria, cause a subsequent update to the updated second database to integrate data from the event database to create an updated diminished second database, and generate a notification including information included in the updated diminished second database.

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

Methods and systems for anonymously tracking and/or analyzing flow or movement of individual subjects and/or objects using mobile identifying information. In particular, there is provided a computer-implemented method for enabling anonymous estimation of the amount and/or flow of individual subjects and/or objects, referred to as individuals, in a population moving and/or coinciding between two or more tempo-spatial locations. The method includes the steps of receiving, for each of two or more individuals, identifying information, wherein the identifying information representative of each individual includes mobile identifying information of a mobile communication device connected to a mobile network and/or cellular network; generating, online and by one or more processors, an anonymized identifier for each individual based on the identifying information; and storing: the anonymized identifier of each individual together with data representing a tempo-spatial location; and/or a skew measure of such an anonymized identifier.

A computer-implemented method includes: obtaining a loan request for a first amount associated with a first merchant in a first geographic region; obtaining merchant data associated with the first merchant and a plurality of second merchants; generating, based on the merchant data, a peer-to-peer risk score associated with the first merchant relative to the second merchants; based on the peer-to-peer risk score associated with the first merchant, generating a loan decision for the first merchant; and communicating a loan response to the first merchant including the loan decision.