This tool provides an idea about which can be the probable infrastructure on cloud for any client. The visualization of cloud infrastructure gives the clear-cut picture to the client about which cloud is providing which kind of different cloud services available in specific regions at which costings. This tool provides information about all possible options to the client for upgrading & migrating to cloud in the best possible way, which eventually is a great thing as a customer to take the appropriate decision about cloud selection.

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.

Techniques for detecting and presenting rewards for presence are disclosed. Presence of a mobile device within a building is detected based on a plurality of triggers including a degradation of a first signal and a concurrent improvement of a second signal. The triggers are identified by a client-side application of the mobile device or a corresponding server-side processor with which the client-side application is in communication and from which the client-side application is configured to automatically receive available rewards. In response to detecting presence within the building, the server-side processor determines that a user of the mobile device is eligible for a reward, and the reward is provided to the user via the client-side application at the mobile device.

The present disclosure discloses methods, apparatuses, and electronic devices for collecting a loan, and a storage medium, relates to the field of big data technology. A method can include: acquiring information on latitude and longitude of overdue customers and longitude and debt-collectors, respectively; calculating initial paths of the debt-collectors and the overdue customers, based on the information on latitude and longitude of the overdue customers and the debt-collectors; calculating target overdue customers that the debt-collectors are responsible for and target paths of the debt-collectors and the target overdue customers that the debt-collectors are responsible for, based on the initial paths of the debt-collectors and the overdue customers; and providing the target overdue customers and the target paths to the debt-collectors, so that the debt-collectors collect loans in accordance with the target overdue customers and the target paths.

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.

A fair price estimator system has a memory device and a processor programmed to receive historical transaction data including historical payment transactions between account holders and merchants. The transaction data includes a merchant name, category code (MCC), and location associated with each of the payment transactions. The processor generates a first subset of data based on predetermined transaction parameters and stores the first subset in the memory device. The processor receives, from a consumer, a first input value including one or more of a merchant name and/or an MCC that are included in the first subset of data, and a second input value including a location identifier. The processor generates a second subset of data from the first subset based on the input values. The processor then determines one or more transaction value properties of the second subset of data and presents to the consumer the one or more transaction value properties.

At least one embodiment is directed to a computer-implemented method for using machine vision to categorize a locality to conduct product positioning analyses, the method including: generating locality profile scores for each locality of a plurality of localities using deep learning networks, where the locality profile score includes distributions of entity classes within the locality; extracting a set of entities having the same entity class from a group of localities; retrieving historical purchasing data for the entity set; and generating a sequence of products likely to be purchased by a target entity as a function of: the similarity of purchasing characteristics of the target entity with respect to other entities, product sequences found in product purchase of other entities, and entity profile weights extracted from the locality profile scores of other entities that have purchased one or more of the same products as the target entity.

Embodiments herein describe a return network simulation system that can simulate changes in a retailer's return network to determine the impact of those changes. Advantageously, being able to accurately simulate the retailer's return network means changes can be evaluated without first making those adjustments in the physical return network. Doing so avoids the cost of implementing the changes on the return network without first being able to predict whether the changes will have a net positive result (e.g., a positive result that offsets any negative results). A retailer can first simulate the change on the return network, review how the change affects one or more KPIs, and then decide whether to implement the change in the actual return network. As a result, the retailer has a reliable indicator whether the changes will result in a desired effect.

A device may receive first information that includes a first data element. The device may receive second information that includes a second data element. The first data element and the second data element may be associated with different area identifiers. The device may associate the first information and the second information with a geographic area. The device may determine, for the geographic area, a first data element score based on the first data element. The device may determine, for the geographic area, a second data element score based on the second data element. The device may determine, for the geographic area, a market index based on the first data element score and the second data element score. The device may provide information regarding the market index to permit and/or cause an action to be performed in association with the geographic area.

A system for receiving and automatically distributing sales leads includes a data store and a computer processor coupled to the data store and in communication through the Internet with a user device. The data store stores registered user data and sales lead data. The computer processor is programmed, upon receiving an indication from a referral agent that sales lead data is to be uploaded, to (i) serve a sales lead form via a web page or mobile application page to the referral agent via the Internet, the sales lead form comprising a plurality of data fields describing at least an identification of a prospective customer, an identification of goods or services to be purchased, and an identification of a geographic location of the prospective customer, (ii) receive and store in the data store sales lead data provided by the user via the sales lead form, (iii) automatically identify at least one sales agent to the sales lead data is to be distributed, (iv) automatically distribute, via the Internet, the sales lead data to the at least one sales agent identified, (v) track at least one sale associated with the sales lead data, and (vi) display at least one indication to a user that a sale of goods or services associated with the sales lead data has been made.