There is described a computer-implemented method of forwarding contact data associated with a potential customer. The method comprising has: receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and mortgage preference data; publishing a purchase interest notification on an Internet-based live data stream accessible by a plurality of lenders via Internet, the purchase interest notification including the mortgage preference data of the customer purchase data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of lenders; and forwarding the contact data of the potential customer to at least one privileged lender based on said reception.

This disclosure relates to systems and methods for managing electronic services using a trusted service. Entities may transmit an indication of associated electronic services and associated conditions to the trusted service. Users interested in the electronic services may transmit requests to the trusted service with associate request conditions. The trusted service may analyze the conditions associated with the electronic services and associated requests to determine a degree of agreement and/or fit between the electronic services and the requested services. In further, the trusted service may package one or more electronic services connection with satisfying a request and/or associated conditions by an interested user.

A planning method for planning to order a product, the planning method being executed by a computer, the planning method includes: generating a predicted value of a demand of the product at each plurality of prices based on a selling price and a number of sales in association with each other for each past sale date; calculating an order quantity that yields a highest profit, for each of the plurality of prices, using the predicted value of the demand of the product at the plurality of prices; storing, for the plurality of prices, the calculated order quantity and a profit in association with each other into a memory; and identifying a combination of a price and an order quantity that yields the highest profit, with reference to the memory.

Disclosed herein are system, method, and computer program product embodiments for the prediction of listing attributes for a for sale object (FSO). Data analyzed with respect to historical listings in a database is compared to attributes of the FSO using machine learning (ML) and artificial intelligence (AI), in order for the user to select a category related to the FSO, and for a listing generation module to generate a ultimately reduced set of listings related to the FSO, where the ultimately reduced set is used to predict a price for the FSO based on the selected category, and generate a listing for the FSO, wherein a listing for the FSO is monitored, and information from the monitoring is used as machine learning feedback to train and enhance predictions.

Various embodiments of the teachings herein include a device for controlling energy flows between participants in an energy network which are connected to one another via lines, the device comprising a processor configured to calculate the energy flows in advance for a period of time using an optimization process and to control the energy flows in the period of time on the basis of the result of the calculation. The processor is further configured to include losses that occur in the energy flows in the lines in the calculation using the optimization process.

A supply-and-demand adjustment system, that utilizes characteristics of supply-and-demand adjustment apparatuses and precisely matches a total supply-and-demand adjustment amount with a required adjustment amount when performing a supply-and-demand adjustment. The supply-and-demand adjustment system comprises a central control apparatus and one or more supply-and-demand adjustment apparatuses, the central control apparatus includes a state collection unit that collects information with regard to a state of each supply-and-demand adjustment apparatus, an allocation band calculation unit that calculates a frequency band and an intensity of a fluctuation of a supply-and-demand adjustment to be allocated to each supply-and-demand adjustment apparatus based on the information of the state, and an adjustment amount calculation unit that calculates a supply-and-demand adjustment amount for each supply-and-demand adjustment apparatus based on the frequency band and the intensity of the fluctuation of the supply-and-demand adjustment to be allocated to said each supply-and-demand adjustment apparatus.

Track Your Closing is an invention that enables Home Sellers and Home Buyers to track the statuses of pre-closing steps in a real estate transaction and to learn of updates as they happen in real time. Track Your Closing enlists the Home Seller's and Home Buyer's respective attorneys to electronically input data as it becomes available. This data includes information collected for closing documents, statuses on pre-closing activities, and progress of transaction timelines. Home Sellers and Home Buyers make elections for the information, pre-closing activities, and transaction timelines for which they want notification. Track Your Closing then pushes this data and provides real time notifications to Home Buyers and Sellers of the status of any and all matters of which they elect to be kept aware. Track Your Closing's availability on mobile devices means information can be input and statuses and updates received at changing locations.

It is an object of a technique of the present disclosure to assist in an exchange of tangible goods and intangible goods between users based on documents created in a plurality of languages. A cooperation link creation system includes:; a ranking creation unit to create rankings of a plurality of selected users based on a similarity coefficient of a word bag and a previous exchange success rate of each of a plurality of first users; a notification management unit to notify the plurality of selected users of a request one by one in order of the rankings; and an exchange management unit to manage an exchange of goods between a second user and one of the selected users having accepted the request.

A system, method, and computer program product are provided herein. An example system includes e-commerce circuitry configured to perform a transaction including a promotion and determine at least one purchased promotion of the consumer account, consumer sharing circuitry configured to associate a transaction metric of at least one purchased promotion to a consumer sharing account, group progression circuitry configured to determine a group progress count based on the transaction metric and determine whether the group progress count exceeds a group progress threshold, and consumer sharing circuitry configured to associate at least a portion of the consumer group reward to at least one consumer account in response to the group progress count exceeding the group progress threshold.

Techniques and arrangements for combining orders for items to be delivered to multiple buyers. Based on an indication of interest in a merchant by a first consumer, the first consumer and a nearby second consumer can be offered incentives to order from a same or nearby merchant in order to combine orders for delivery, thereby increasing the logistical efficiency of the deliveries. The indication of interest can be a commencement of an order, an indication that the first buyer “likes” a merchant, a search for the merchant, or other way to indicate an interest in the particular merchant. The incentives can include discounted delivery fees, discounted orders, and the like.