15results about How to "Improve order rate" patented technology

The invention relates to the technical field of logistics transportation, in particular to a logistics transportation route optimization method and system based on digital twinning. The method comprises the following steps: constructing a digital twin logistics base through multi-source heterogeneous data fusion and dynamic logistics network modeling; carrying out regional logistics distribution feature extraction and dynamic time sequence prediction based on a digital twinborn substrate to obtain a predicted regional transportation demand; performing real-time state evaluation on the line, generating a dynamic line performance matrix, and performing vehicle resource allocation in combination with the order task priority; and carrying out multi-objective solution and dynamic adjustment on the transportation scheduling scheme to finally obtain an optimal transportation scheduling scheme. And performing iterative optimization on the digital twin model through real-time deviation analysis and a feedback mechanism, and dynamically adjusting a transportation plan to form a closed-loop optimization process. Through the logistics transportation route optimization technology, the logistics transportation efficiency is remarkably improved, the cost is reduced, and the toughness of the system is enhanced.

The invention discloses a shopping guide strategy optimization method and device, and relates to the technical field of big data. A specific embodiment of the method comprises the steps of determining a user behavior path based on acquired user search behavior data; wherein the user behavior path comprises a decision action and a decision state; the decision action comprises an operation behavior executed by the user; the decision state comprises a page state of the user; performing Markov modeling according to the decision action to obtain a value function, and determining the value degree of each decision state based on the value function; and optimizing the search shopping guide strategy according to the value degree of each decision state. According to the embodiment, the search shopping guide strategy can be optimized by evaluating the value of the decision state between different decision actions in combination with the user behavior path, so that the search shopping guide order forming rate and the user experience are improved.

The invention discloses a supply chain optimization method for beer preparation in advance. Comprising the following steps: calling related parameters configured by a system page as data input; calculating the net demand of the warehouse; calculating to-be-produced capacity of a factory; calculating a capacity gap, summarizing the to-be-produced capacity of each product to a supplier factory and a production line type, and respectively calculating capacity data of the factory and the production line type; production scheduling is simulated, and the forward moving amount is calculated; calculating the maximum stock quantity; sorting a stock order; sequentially distributing according to the sequence; the result is corrected, and the advance stock quantity is output. According to the method, the optimal supplier is found for the demand, the productivity resources are uniformly distributed, cross-district communication is reduced, and the manual compiling time is saved. And meanwhile, by accurately calculating the forward moving amount, accurate planning of stock preparation is realized, the order satisfaction rate is improved with a lower stock water level, the cost is saved, and the warehouse pressure is reduced. And the stock quantity of a single product is limited in a maximum stock quantity mode, so that the stock overstock risk caused by factors such as market fluctuation is reduced.

This application provides a method, apparatus, and storage medium for ride-hailing order allocation based on driver preferences. The method includes: obtaining real-time orders using a ride-hailing platform interface; parsing the real-time orders to obtain the order start coordinates, order destination coordinates, and discount flags; retrieving online drivers within a set radius centered on the order start coordinates using a spatial index to generate a candidate driver set; reading the vehicle type information and order acceptance preferences of each driver in the candidate driver set; filtering the candidate driver set based on the order destination coordinates, discount flags, and order acceptance preferences using multiple conditions to obtain a target driver set that meets the order acceptance criteria; sorting the target driver set according to the real-time distance from the driver to the order start, selecting the driver with the shortest distance, and assigning the current real-time order to the selected driver. This application can improve the probability of drivers accepting orders and improve the accurate matching of discounted orders with driver preferences, thereby achieving real-time and efficient order dispatch.

The invention discloses a car owner sharing method and device, electronic equipment, a readable storage medium and a chip, and relates to the technical field of hitchhim.The car owner sharing method comprises the steps that the driving state of a car owner user is determined; determining vacant seat information corresponding to the vehicle owner user under the condition that the vehicle owner user is in the carpooling and driving state; pushing at least one carpooling order to the vehicle owner user according to the empty seat information; in response to an order receiving instruction of the car owner user on the car-sharing order, determining a second driving route according to the car-sharing order and a first driving route corresponding to the car-sharing driving state; and pushing the second driving route to a vehicle owner terminal corresponding to the vehicle owner user.

The invention relates to the field of precision marketing, and provides a product recommendation method, device and equipment, a storage medium and a program product.The method comprises the steps that a standardized demand corresponding to the purchase intention of a target user and historical sales data under the standardized demand are obtained; obtaining each to-be-recommended product under the standardized demand from a standardized product database to obtain a product recommendation pool; and according to the historical sales data, constructing a user portrait under a standardized demand, and based on the user portrait, matching a target product from a product recommendation pool and recommending the target product to a target user. According to the method, standardized precipitation is carried out on business scenes and demands, user portraits under standardized demands are matched with products based on association relationships among the scenes, the demands and the products, different product feature intentions corresponding to differentiated demands under different scenes are considered, the matching degree of the products and the demands is improved, and the user experience is improved. Therefore, the accuracy of product recommendation is improved, and meanwhile, business personnel can focus on user requirements to improve the business expansion efficiency.

This invention relates to the field of shared mobility scheduling and charging service management technology, and particularly to a dynamic charging decision-making system and method that links shared mobility and charging services. The system includes: collecting multi-source data on vehicle battery level, charging pile status, and regional demand; analyzing historical data using a particle swarm optimization algorithm to generate scenario-based emergency charging thresholds and preventative charging thresholds; and performing noise reduction and standardization processing on real-time data. This invention effectively breaks the rigid limitation of traditional fixed battery thresholds on charging timing by constructing a deep matching mechanism that links offline parameter optimization with real-time data. It achieves precise linkage between the battery status of shared vehicles, travel demand, and charging resources, as well as a global optimization closed loop for the scheduling system, solving the dual balance problem of ensuring battery availability and fulfilling orders during operation.

The invention discloses an order processing method and device. An order listening request sent by a vehicle owner terminal is received, a first candidate order set is acquired according to the order listening request, the first candidate order set is filtered to acquire second candidate order sets, a matching score of each second candidate order is determined according to a sorting factor, and a push order is determined according to the matching scores and sent to the vehicle owner terminal. Therefore, the operation difficulty of the vehicle owner can be reduced, and the operation efficiency and the order rate of the vehicle owner can be improved.

The application relates to a user vehicle repurchase willingness analysis method and device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a vehicle repurchase willingness test data set, and extracting at least one effective feature from the test data set; inputting the at least one effective feature into a pre-trained cold start model to obtain a user repurchase vehicle probability and a logistic regression coefficient; and obtaining a willingness analysis result based on the user repurchase vehicle probability and a pre-trained hot start model. The application introduces a user response to operation access and an attention mechanism, so that the user repurchase willingness analysis result is more accurate, marketing side crowd selection is facilitated, operation cost is reduced, and a single rate is improved.

In order to solve the technical problem that the capacity is occupied by invalid orders in the prior art, the present invention proposes a method and system for sharing online car-hailing. The sharing method includes: in response to the target order information of the target online car-hailing order, obtaining the capacity information of each capacity in the capacity set, the capacity information includes vehicle information and the number of shared resource locks; determining the first candidate capacity in the capacity set according to the target order information and the information of each capacity vehicle in the capacity set; determining the shared capacity that meets the capacity sharing conditions in the first candidate capacity; comparing the number of shared resource locks of the shared capacity and the first threshold; when the number of shared resource locks of the shared capacity is less than the first threshold, adding the target online car-hailing order to the shared capacity order pool, and updating the number of shared resource locks of the shared capacity; performing order confirmation processing on the shared capacity and the online car-hailing order in the shared capacity order pool; when the order confirmation is successful, resetting the shared capacity order pool and the number of shared capacity shared resource locks.

The invention relates to an intelligent scheduling method, system and device for telemarketing tasks and a storage medium, and belongs to the technical field of telemarketing management.The method comprises the steps that a scheduling instruction is received, and customer information of a customer corresponding to the scheduling instruction is obtained and analyzed; predicting a telemarketing range of the corresponding customer based on the customer information; based on the pre-stored service range of all telemarketing personnel, matching docking personnel for the corresponding clients; wherein the docking personnel refer to telemarketing personnel of which the corresponding service range covers the telemarketing range of the corresponding customer; and establishing a call between the customer corresponding to the scheduling instruction and the determined docking personnel. The method and the device have the effects of realizing intelligent scheduling and distribution of the marketing tasks and improving the order forming rate.

The embodiment of the invention provides a financial product recommendation method, which comprises the following steps: receiving behavior information sent by user equipment, the behavior information being behavior information when a user browses a product display interface; determining a target intention of the user according to the behavior information; determining recommended financial product information for the user according to the target intention and multiple pieces of financial product information; and sending the recommended financial product information to the user equipment, wherein the recommended financial product information is used for being displayed on the product display interface. The embodiment of the invention further provides computer equipment and a computer program product.

The embodiment of the invention provides a page switching method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a first channel switching instruction under the condition of displaying a page of a first live broadcast channel; determining a first target channel needing to be switched according to the first channel switching instruction; under the condition that the first target channel belongs to one of the predetermined live channels, switching from the page of the first live channel to the home page of an electronic program guide (EPG); wherein the navigation address of the predetermined live channel points to the EPG home page. Therefore, according to the embodiment of the invention, the problem that in the prior art, the contact rate between the user and the EPG home page of the IPTV system is relatively low, so that the ordering rate of the IPTV value added service based on the EPG home page is reduced can be solved.

The embodiments of the present disclosure disclose a method, device, equipment and computer-readable medium for sending recommended item information. A specific implementation of the method includes: in response to receiving a user's selection operation information record for a target item, obtaining a set of information on items to be cleared and a set of information on new items of the corresponding target store, wherein the target store corresponds to the target item; generating first recommended item information based on the item information of the target item and the set of information on items to be cleared; in response to the daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generating second recommended item information based on the item information and the set of information on new items; sending the first recommended item information and the second recommended item information to the user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information. This implementation increases the turnover volume of clearance items and new items, thereby improving the space utilization rate of the warehouse.

The invention relates to the field of electronic manufacturing, and discloses a multi-site order pricing management system, the management system comprises a front-end module and a rear-end module, the front-end module comprises a user registration and login module, an order information module, an order management module and a user background editing module, and the rear-end module comprises a user registration and login module, an order information module, an order management module and a user background editing module. The user registration and login module supports registration and login through a user name, a mailbox, a mobile phone and a third-party platform, and the ordering information module comprises user basic information input including but not limited to size, number, product and material types, layer number, copper foil thickness, plate thickness, line and drilling parameters, production cycle, transportation or express information and customer remarks. And the ordering information module also has a price display function. The names and options of most of the process information of the product displayed at the front end of the system can be automatically edited, and the pricing standard and the production cycle can be freely set, so that the application range of the product is greatly expanded.