6 results about "Product order" patented technology

The invention discloses a product order quantity prediction method and device, a storage medium and equipment. The method comprises the following steps: acquiring an actual order quantity of a first product; based on the actual order quantity of the first product, utilizing a preset gray model to obtain a first prediction value about the future order quantity of the first product; and correcting the first prediction value to obtain a second prediction value about the future order quantity of the first product. By adopting the scheme, the accuracy of product order quantity prediction can be improved.

A method for managing a product order request includes: obtaining historical data; analyzing the historical data to generate a data set that is associated with a set of parts of a first product; performing preprocessing on the data set to generate a preprocessed data set; generating, based on the preprocessed data set, a model that predicts part failure probability of each part of the set of parts; training the model to generate a trained model that, at least, identifies categories in the preprocessed data set and predicts part failure probability of each part listed in each category prior to a manufacturing process of a second product is initiated; receiving the request from a user; and identifying, using the trained model, a second set of parts that need to be used to manufacture the second product and the best vendor to procure each part of the second set of parts.

The invention relates to an order generation method and device, computer equipment, a storage medium and a product. The method comprises the following steps: displaying a store page of a target store; the store page comprises at least one store commodity of the target store; wherein the store page has an ordering function for store commodities after the target store is claimed by a target management account; and in response to an ordering operation on a target commodity in the at least one store commodity, generating a commodity order. By adopting the method, an efficient ordering guide path can be provided for the user, the complexity that the traditional user scans a code to order an order in a store or skips to other ordering platforms is avoided, the ordering time of the user is greatly shortened, the whole process of grass planting-decision making-transaction is connected in series, and the integration and convenience of a social media platform are further improved.

This application discloses a product order allocation method, apparatus, device, and storage medium, belonging to the field of order management technology. This application obtains a bipartite graph model, where the bipartite graph model is a graph model representing the mapping relationship between an order set and a participant set. The order set is the set of product orders corresponding to users, and the participant set is the set of production plants. The mapping relationship is the correspondence between production plants and order tasks, and the mapping relationship meets task completion conditions, task quantity conditions, and / or pricing conditions. Based on the order tasks and production plants corresponding to the mapping relationship, product orders are allocated. That is, by aggregating the product orders corresponding to users and the production plants, and matching the two aggregated sets, a suitable mapping relationship can be determined in the order set and the participant set. When the mapping relationship meets the corresponding conditions, the corresponding order tasks are allocated, avoiding excessively high production plant costs.

This invention discloses an intelligent order dispatching method and system based on multi-product combination price difference identification, belonging to the field of computer technology. The method includes: acquiring multi-product order data; generating a combination price difference representation vector based on a price difference identification rule base; acquiring a processing party capability profile; performing multi-dimensional matching degree calculation and dynamically adjusting weights; selecting the optimal processing party for order dispatch; and updating the rule base and profile based on feedback data. The system includes corresponding functional modules, supporting price difference identification, capability profile construction, dynamic matching, and online learning. This invention aims to solve the problems of unreasonable order allocation, low efficiency, and reduced revenue caused by the inability of existing order dispatching mechanisms to accurately identify multi-product combination price differences. Through value-driven intelligent matching, it significantly improves order dispatching efficiency, resource utilization, and operational revenue.

To provide a product order fulfillment system for improving the throughput of a storage and retrieval system.SOLUTION: Each level of the multi-level transport system has a corresponding independent asynchronous level transport system that is separate and distinct from the asynchronous level transport system corresponding to each other level of the multi-level transport system. Each independent lift axis of the lifting transport system is configured to independently hold at least one case and is communicably coupled to each asynchronous level transport system to provide exchange of the at least one case between each asynchronous level transport system and each independent lift axis. Each independent lift axis is communicatively coupled to each other independent lift axis of the plurality of lift axes to form a common output of mixed cases to create an ordered sequence of mixed cases according to a predetermined case out ordered sequence.SELECTED DRAWING: Figure 12B