7 results about "Price reduction" patented technology

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.

The application provides an e-commerce expense management method, device, equipment, medium and product, and relates to the technical field of data management. The method comprises the following steps: determining the business type of a sales subject; monitoring the order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type; according to the currently monitored order data, the use of the price reduction fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension; and according to the use of the price reduction fee counted in a statistical period, at least one of the following operations is performed: through the connection with a financial marketing expense system, the price reduction fee in the statistical period is automatically handled; and a suggested transaction unit price of a product related to the order data is generated. In this way, the e-commerce expenses are counted and managed in a low-cost, real-time and accurate manner.

The application relates to the field of intelligent recommendation systems, and particularly discloses a commodity price reduction reminding method based on collection time length, which comprises the following steps: triggering commodity price reduction reminding according to user collection commodities; collecting data according to the collection commodities, dynamically determining a price reduction triggering threshold according to the collection commodity time length; monitoring the current price of the commodity based on the price reduction triggering threshold; when the current price is reduced to <= the price reduction triggering threshold, sending a price reduction reminding information to the user; when the current price of the commodity is > the price reduction triggering threshold, continuing to monitor; and adjusting the strategy of subsequent price reduction reminding according to the feedback behavior of the user to the price reduction reminding information. The application calculates the collection commodity time length weight through a ladder type weight, quantifies the user demand urgency behind the collection time length, changes the reminding strategy from commodity orientation to user demand orientation, and solves the problem that the reminding is not in line with the user will.

To provide a commodity sales data processor and a program capable of supporting the purchase of a special commodity.SOLUTION: A commodity sales data processing apparatus according to an embodiment includes a first acquisition module configured to acquire commodity identification information of a commodity purchased by a customer, a calculation module configured to calculate, when the commodity corresponding to the commodity identification information is a nonstandard commodity set to be sold at a discount, a contribution amount by multiplying a subtraction amount for the discount by a ratio relating to a donation set in advance by the customer, a processing module configured to execute processing relating to sales of the nonstandard commodity based on a subtraction price obtained by subtracting a remaining amount obtained by subtracting the contribution amount from the subtraction amount from a price of the nonstandard commodity, and a management module configured to cumulatively manage the contribution amount in association with customer identification information of the customer.SELECTED DRAWING: Figure 13

The invention provides a dynamic bidding method and system based on an order pool group competition architecture, and a storage medium, and belongs to the technical field of electronic commerce data processing. The method aims at solving the problems of system calculation redundancy, response delay and disordered competition caused by lack of a global competition framework in the prior art. The core lies in that a competitive architecture with an order pool group as a unique grouping unit is constructed, and the calculation complexity is reduced from O (n2) to sigma (mi * ki2) through clustering and contour coefficient optimization. On the architecture, dynamic bidding based on intelligent state transition is operated, order aggregation and price discovery stages are executed in sequence, and bidding circulation is driven through real-time bidirectional feedback of buyer order transfer-seller price reduction. Finally, an automatic closed loop from architecture to fulfillment is formed through pool-based bidding and intelligent double-layer complementation, and the purposes of saving the order of magnitude of calculation, improving the convergence speed of the system in a leap-over mode and guaranteeing the high fulfillment rate are achieved.

The invention provides an advertisement information pushing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a multi-dimensional object feature of a target object; inputting the multi-dimensional object features into the trained coding network to obtain a target coding vector output by the trained coding network; inputting the target coding vector and the first price reduction variable into the trained prediction network to obtain a first target probability output by the trained prediction network; inputting the target coding vector and the second price reduction variable into the trained prediction network to obtain a second target probability output by the trained prediction network; and based on the first target probability and the second target probability, determining whether to push the target price reduction advertisement information to the target object. According to the method, price reduction sensitive users can be intelligently screened to perform price reduction advertisement pushing on the users, and the price reduction marketing efficiency is improved.

A system is provided.SOLUTION: A system comprising: means for analyzing store inventory information to identify items predicted to be unsold; means for generating information for selling unsold items at a discounted price; means for registering information about an item desired by a user and transmitting a notification when the item is at a discounted price; and means for receiving discount information for an item registered by a user and purchasing the item.SELECTED DRAWING: Figure 1