27 results about "Sales operations" patented technology

The invention discloses a method and a system for accurate operation of customers in a direct jurisdiction group, relates to the technical field of sales operation, and mainly solves the problems of low sales efficiency, poor customer satisfaction and high marketing cost. The method for accurate operation of customers in the direct jurisdiction group comprises the following steps: sorting and analyzing customer information; making a marketing activity strategy; determining a target customer group; the product is positioned and served; maintaining and managing customer relationships; the marketing effect is evaluated and optimized, and the direct jurisdiction group members are accurately matched for the customer group through a prediction evaluation algorithm, so that the sales conversion rate is improved; personalized recommendation and service are generated by analyzing customer data, so that customer satisfaction and loyalty are improved; and marketing advertisements and promotion activities are accurately put through a dynamic analysis algorithm, so that the marketing cost is reduced.

The invention discloses an electricity selling operation method and system based on dynamic game and multi-time scale rolling optimization. The method comprises the following steps: firstly, acquiring historical data of a power market and users, and establishing a user package selection model based on an evolutionary game theory so as to simulate user selection proportions and aggregation load curves under different pricing strategies; and then, establishing a multi-market combined transaction optimization model which takes benefit maximization after risk adjustment as a target, and taking a user selection result as a core constraint. And by solving the optimization model, an optimal electric power package pricing strategy and a combined purchasing strategy in multiple markets such as electric power, carbon and green certificates are cooperatively generated. According to the method, the technical problems of decision splitting, inaccurate user behavior prediction, rigid risk management and the like in traditional electricity selling operation are effectively solved, closed-loop collaborative optimization of package pricing and multi-market transaction is realized, and decision scientificity, risk resisting capability and market adaptive capability are remarkably improved.

The invention provides a machine tool after-sales operation and maintenance intelligent question answering method based on intention recognition. The method comprises the steps that firstly, multi-source operation and maintenance data is subjected to standardization processing, and a multi-dimensional intention recognition data set is constructed; then, semantic and intention features are extracted by using a question model, field professional features are extracted by using a DeepSeek model, and a high-precision intention recognition model is trained based on an improved LORA algorithm; then, feature alignment is carried out through the knowledge graph in the machine tool operation and maintenance field, and feature fusion is realized by adopting a double-model collaborative attention mechanism; based on the identified intention, constructing a dynamic retrieval enhancement generation mechanism, and outputting a self-adaptive structured answer; and finally, optimizing the model parameters and the knowledge graph through a feedback iteration mechanism. According to the method, double-model advantage complementation and knowledge-data deep fusion are realized, the question and answer accuracy, the intention recognition precision and the operation and maintenance service efficiency are remarkably improved, more than 98% of machine tool operation and maintenance scenes can be covered, the method is suitable for various after-sales operation and maintenance scenes such as fault consultation and maintenance guidance, and the after-sales cost of enterprises is effectively reduced.

The invention relates to the technical field of information, and discloses a merchant multi-video-number sales operation system and method based on data linkage, and the system comprises a real-time monitoring module, a data cleaning module, a data collection module, a data processing module, an optimization module and a management module. According to the real-time monitoring, data of multiple video numbers of a merchant is monitored in real time through monitoring equipment and a sensor so as to obtain a data source, a data cleaning module deletes, cleans and corrects the obtained data, a data acquisition module calculates a cross-platform integration index # imgabs0 #, inventory management accuracy # imgabs1 # and cross-platform operation integration efficiency # imgabs2 #, and the cross-platform integration index # imgabs0 #, the inventory management accuracy # imgabs1 # and the cross-platform operation integration efficiency # imgabs2 # are integrated into a database. The optimization module correspondingly adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the calculation result, and the management module adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the adjustment information. And an optimization instruction is issued to the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit.

The invention discloses a method and device for cost allocation based on a single sales order, electronic equipment and chemical equipment, and the method at least comprises the steps: analyzing a dynamic cost cause related to the single sales order based on the type of production and operation data, so as to calculate a sales operation dynamic cost cause rate; according to the dynamic operation cost cause rate, constructing an operation cause dynamic cost apportionment model; constructing a resource basic cost apportionment model; based on an operation motivation dynamic cost allocation model and a resource basic cost allocation model, according to the effective fixed cost data and the business information of the single sales order, the effective fixed cost is allocated. Constructing a cost allocation model based on the single sales order to calculate a cost allocation result of the sales object in the sales order of which the profit rate is to be calculated currently, and calculating the profit rate of the sales order of which the profit rate is to be calculated currently according to the cost allocation result; and carrying out logic version booking on the cost allocation result and the profit rate to generate a cost allocation visual page so as to carry out cost monitoring.

The invention provides an advanced wave operation method and system supporting after-sales before order interception, and belongs to the technical field of data processing, and the method specifically comprises the steps: a picking processing module is responsible for carrying out a warehouse-out task generated by a warehouse in advance in a wave manner, generating a specific warehouse picking task according to a warehouse region rule pre-configured by the warehouse, and enabling an operator to carry out the picking, and the warehouse processing module is responsible for generating a multi-output warehouse-in task based on order after-sale details, abnormal notification list details and advanced wave task details in the warehouse-out duration by cross comparison of the details of the operated part and the initiated after-sale part, so that the warehouse can sense the part needing interception and reverse warehouse-in and reverse warehouse-in to complete inventory leveling, and the after-sale processing efficiency is improved.

The application discloses an industrial material customer self-service order placing and contract whole-process progress tracing system and method, and relates to the technical field of industrial digitization sales.The application adopts a three-stage linkage structure of a client APP, a sales end management background and an enterprise ERP / MES background, follows the industrial industry adaptation principle of "online self-service product selection and report + offline price negotiation", realizes customer authorized registration, self-service product selection and report of procurement demand, one-key generation of spot / futures contract by the sales end after receiving the demand, real-time synchronization of whole-process progress and core data such as contract raw material binding, plan compilation, production, warehousing, delivery and settlement of the enterprise ERP / MES background to the sales end and the client, and self-determined and real-time tracing of the customer on the contract whole-process progress.The application solves the pain points of traditional industrial sales operation, such as complicated operation, low efficiency, non-transparent progress and high communication cost, is suitable for the price negotiation characteristics of the industry, realizes the digitization and transparency of the sales process, has low landing cost and is easy to popularize, and is suitable for the sales and contract management of all industrial material production enterprises.

The invention discloses an intelligent water meter mobile exhibition and sale vehicle, and relates to the technical field of intelligent water meter exhibition and sale, the intelligent water meter mobile exhibition and sale vehicle comprises a vehicle body, the vehicle body is provided with two groups of windows, a base station is arranged in the vehicle body, and the intelligent water meter mobile exhibition and sale vehicle further comprises an exhibition and sale assembly which is arranged on the base station and used for exhibiting and selling intelligent water meter parts. And two groups of sales exhibition assemblies are symmetrically arranged on the base station. In the process of performing intelligent water meter exhibition and sales by using the exhibition and sales vehicle, the exhibition and sales component on the exhibition and sales table can be better subjected to exhibition and sales operation by stretching out the exhibition and sales assembly, and in the stretching-out process, the exhibition and sales table automatically stops transmission after encountering an external object when stretching out through the protection assembly, so that the exhibition and sales table is more convenient to use. The risk of direct impact on external objects is avoided, and the subsequent normal mobile sales exhibition operation of the intelligent water meter is further facilitated.

Provide a system. 【Solution means】 Means for collecting the behavioral information of human resources in the sales operation, Means for centrally managing the collected information and storing it in an immediately accessible storage medium, Means for interpreting the response content and creating an evaluation using language data processing, Means for immediately providing a reverse feed based on the interpretation result, Means for automatically optimizing the work schedule considering the working hours and workload, Means for proposing an education plan based on individual behavioral results, Means for immediately displaying customer information and product information when human resources conduct sales activities using a visual assistance device, A system including means for analyzing the dialogue with customers through voice recognition and language analysis and providing information based on the results.

Planning system (1) for planning an operating schedule (100, 100D) of a power plant over a predetermined period of time, wherein the power plant is capable of generating energy by driving an energy generator using a turbine, and of executing any of an energy-selling operating mode which sells energy by operating the power plant in a state in which the turbine and the energy generator are connected, a zero-load operating mode which operates the power plant in a state in which the turbine and the energy generator are not connected, and a stop operating mode which stops the turbine, wherein the planning system (1) comprises: a determination unit (22) configured to determine whether a predicted energy selling price (Pe1, Pe2, Pe3) is higher than energy production costs (CP); and a planning unit (23) configured to calculate a loss index (J) for each of the energy selling operating mode, the zero-load operating mode, and the stop operating mode in the event that the predicted energy selling price (Pe1, Pe2, Pe3) is equal to or less than the energy production cost (CP) within the predetermined time period, using equation (1) based on an energy selling loss (J1) which is the difference between the expected energy selling price and the energy production cost (CP), a maintenance loss (J2), and an operating loss (J3) that does not contribute to an energy sale, and to schedule the operating plan (100, 100D) such that the power plant operates in an operating mode in which the loss index (J) is smallest, where the loss index (J) corresponds to the energy sales operating mode and includes the energy sales loss (J1) and the maintenance loss (J2), where the loss index (J) corresponds to the zero-load operating mode and the stop operating mode, respectively, includes the operating loss (J3) and the maintenance loss (J2), wherein the maintenance loss (J2) includes an operating time loss which consumes a durability based on an operating time of a component that configures the power plant, according to an accumulated operating time of the power plant, and a frequency of a start loss which consumes a frequency based on the frequency of starting the component according to an accumulated frequency of starting the power plant, where the maintenance loss (J2) of each of the energy sales operating mode and the no-load operating mode has the operating time loss as a major factor, where the maintenance loss (J2) of the stop mode has the frequency of a start loss as a major factor, and where the planning unit (23) is configured to: to determine the maintenance loss (J2) of each of the energy sales operating mode and the zero load operating mode using a first weighting coefficient (k1); to determine the maintenance loss (J2) of the stop mode using a second weighting coefficient (k2); to decrease the first weighting coefficient (k1) and increase the second weighting coefficient (k2), or to decrease the first weighting coefficient (k1) and increase the second weighting coefficient (k2) if the ratio of the accumulated frequency of a start to the frequency of a start increases; and to increase the first weighting coefficient (k1), decrease the second weighting coefficient (k2), or to increase the first weighting coefficient (k1) and decrease the second weighting coefficient (k2) if the ratio of accumulated operating time to durability relative to operating time increases, wherein Loss index = Energy sales loss + Maintenance loss + Operating loss that does not contribute to energy sales

To provide a system capable of improving the efficiency of sales and immediately utilizing what is thought about in order to achieve leak-proof sales.SOLUTION: A system which is used during daily business operation, includes: means for performing an immediate answer from general information, an action suggestion in a company from information in the company, the next action guidance by quotation from own past correspondence by speaking what is thought about, or the like, managing an input history, and achieving efficient leak-proof sales by being connected to grasping and analysis of an own sales pattern; and means for achieving them.SELECTED DRAWING: Figure 1

The present system provides an integrated software solution for jewelry design, manufacturing, packaging, shipping, wholesaling, and online sales operations. The system provides a superior solution for tracking raw materials, waste, dust, and reclamation. That tracking information is used to support accurate pricing using all types of jewelry industry specific pricing schemes. The system integrates with cameras, scales, and the like, to provide a visually audited trail of a product from manufacture to shipping. Visual proof of insertion of a particular product into a shipping package allows sellers to dispute fraudulent claims of missing, damaged, or incorrect items. The visual information is tagged to an order and stored with the order in cloud storage to be easily retrieved by the system in the case of a dispute.

The application discloses a kind of office equipment sales data statistics method, it is related to office equipment sales data processing technical field, the method is by obtaining the historical sales data of office equipment and the after-sales operation state data of the sold equipment authorized by customer, two kinds of data are aligned according to multidimension and form sales use correlation data set, generate basic demand forecast by main model, use correction model to generate comprehensive correction coefficient based on equipment use state index, correct basic forecast, then compare the correction result with actual sales data and calculate deviation rate, realize closed-loop feedback optimization according to deviation rate adjustment model parameter.This application can break the information fault of sales and use end, improve the accuracy of sales demand prediction, and is suitable for the sales data statistics and demand prediction of various office equipment.

The invention relates to a security detection method and device, a storage medium and a program product. An after-sales job image for a target device can be obtained; the after-sales operation image is classified, a classification result is obtained, and the classification result represents whether after-sales operation personnel of the target equipment meet preset safety requirements or not; verifying the classification result to obtain a verification result under the condition that it is determined that the after-sales operator does not meet the preset safety requirement according to the classification result, the verification result representing whether the classification result needs to be corrected or not; and outputting a safety detection result according to the verification result. And under the condition that the after-sales operator is determined not to meet the preset safety requirement based on the classification result, the classification result is verified, so that whether the classification result needs to be corrected or not can be further determined, and the safety of the after-sales operator is improved through multi-model cooperation of classification and correction. And the accuracy of identifying whether the after-sales operator meets the preset safety requirement or not in a complex environment is improved.

The invention discloses a product field failure data association rule mining method, which comprises the following steps: analyzing product after-sales service text information, making an assumption for repair service text information, establishing failure criteria of a product and components thereof, designing a field failure data mining process, and constructing an association rule-based mining method. Evaluating the effectiveness of the association rule-based mining method, mining and statistical analysis of actual association failure data, and finally applying a mining result. The invention provides a field failure data association rule mining method oriented to mass product after-sales service text information formed by enterprise accumulation, so as to efficiently obtain a high-quality field failure data set. The method can be applied to field reliability prediction and warranty period design of products and components thereof, and can also provide an important basis for after-sales operation and maintenance decisions of enterprises. The dependence on manpower is reduced, and the data acquisition efficiency and the data quality are ensured.

The invention discloses a virtual organization-based mining and selling business collaborative management method and system, and the method comprises the steps: constructing a virtual organization tree with financial categories, commodity categories or business lines as dimensions, and building the ternary relation data among virtual organization nodes, mining and selling personnel and a commodity management authority range; based on the ternary relation data, the system can respond to a downstream request, position a commodity principal through an authority reverse checking algorithm, or generate an approval link through a dynamic routing algorithm; meanwhile, according to the ternary relation data, the original performance data are aggregated into structured performance indicator data according to the personnel dimension, and when personnel responsibilities are changed, all algorithms can be linked to take effect by updating the node binding relation. According to the invention, automatic cooperation of authority verification, approval circulation and performance accounting is realized through a unified data model, the problems of tedious maintenance and system fragility caused by separation of an organization model and a business rule are solved, and the efficiency of acquisition and sales business management is remarkably improved.

The utility model discloses an electric heating device and air handling equipment, and relates to the technical field of air handling, the electric heating device comprises an electric control assembly and a heating assembly, the electric control assembly is electrically connected with the heating assembly, the heating assembly is configured to be capable of heating under the power supply of the electric control assembly, and the heating assembly comprises a holding piece and a supporting piece, the supporting piece comprises a first surface; the holding piece is movably connected to the supporting piece, the holding piece can move and switch between a first position and a second position under the action of external force, the holding piece comprises a holding part, the holding part and the first surface are spaced and form a gap when the holding piece is in the first position, and the holding part is attached to the first surface when the holding piece is in the second position. According to the utility model, the holding piece is arranged on the heating assembly, so that the heating assembly is convenient to mount and dismount, and after-sales operation is facilitated.

The present invention relates to the field of cloud technology, and discloses a testing method, device, equipment and storage medium for a fund distribution and sales system, which are used to improve the testing efficiency of the fund distribution and sales system. The testing method of the fund distribution and sales system includes: receiving a testing request of the fund distribution and sales system, and obtaining the operation authority of the fund distribution and sales system through the testing request; injecting fund product market data into the fund distribution and sales system based on the operation authority, and generating a fund market file; simulating fund distribution and sales operations on the fund distribution and sales system according to the fund market file to obtain synchronous transaction data; generating a fund confirmation file according to the synchronous transaction data; simulating fund liquidation according to the fund confirmation file to obtain a fund liquidation result, and verifying whether there is an abnormality in the fund distribution and sales system according to the fund liquidation result. In addition, the present invention also relates to blockchain technology, and the fund liquidation result can be stored in a blockchain node.

The invention relates to the technical field of sales operation management, in particular to a sales dynamic management and real-time decision-making system based on generalized enhancement strategy optimization, and the system comprises a data collection module which is used for collecting multi-dimensional data in real time, and constructing a multi-dimensional feature vector based on the multi-dimensional data; the strategy generation module is used for receiving the multi-dimensional feature vector and generating multiple groups of candidate strategies through a dynamic gradient cutting mechanism; the strategy evaluation module is used for constructing a Pareto front based on the multi-target evaluation indexes, and screening out an optimal strategy from multiple groups of candidate strategies according to the Pareto front; and the strategy execution and feedback module is used for pushing the optimal strategy to the point-of-sale terminal and collecting and executing feedback data in real time to update the weight of the GRPO strategy network structure, dynamic adjustment and optimization of the strategy can be realized, and the inventory turnover rate can be improved while the customer satisfaction can be ensured.

The invention provides an order after-sales method and device, equipment and a storage medium. According to the method, in response to a query request initiated by a user, at least one second order associated with a user identifier is determined from a plurality of first orders, the query request carries the user identifier, and the plurality of first orders are determined based on order data acquired by at least one preset channel. And in response to an after-sales operation of the user for the at least one second order, generating an after-sales work order of the at least one second order. According to the method provided by the invention, the after-sales service of the order is realized, and the efficiency of the after-sales service is improved.

This mobile body control method is executed by a control unit (30) for controlling a mobile body (20) that moves autonomously and sells products. The mobile body control method according to an embodiment comprises: a specification step for specifying a first stop position at which the mobile body (20) is to be stopped; a movement control step for causing the mobile body (20) to stop at the first stop position; an operation execution step for executing a sales operation pertaining to the sale of a product to a first user when the mobile body (20) has stopped at the first stop position; a vehicle-stop continuation determination step for determining, on the basis of status information pertaining to the mobile body (20) at the end of the sales operation, whether to continue the vehicle stop at the first stop position; and a vehicle-stop continuation control step in which, when it has been determined that the vehicle stop is to be continued, a control is carried out to continue the vehicle stop at the first stop position.

The utility model discloses a display for network sales, which belongs to the technical field of displays and comprises a supporting seat, a damping bearing is arranged at the top of the supporting seat, a supporting cylinder is sleeved in the damping bearing, a connecting cylinder is slidably connected in the supporting cylinder, and a display body is fixedly connected to the top of the connecting cylinder. The display for network sales has the beneficial effects that the supporting cylinder, the connecting cylinder and the display body can be conveniently rotated by arranging the damping bearing, and meanwhile, the height of the display body can be conveniently adjusted by virtue of the supporting cylinder and the connecting cylinder, so that the display body can be conveniently controlled, sales operation can be assisted, and the display is convenient to use. The driving motor works to drive the threaded rod to rotate, so that the threaded sleeve, the adjusting frame, the limiting spring and the cleaning plate are driven to ascend and descend, the displayer body can be cleaned by means of the ascending and descending cleaning plate, and a screen of the displayer body can be cleaned conveniently.

The invention discloses an intelligent operation planning method and system for a tea sales network platform, and relates to the field of tea sales planning, and the method comprises the steps: obtaining the existing total amount of current to-be-sold tea from a storage database; counting sales nodes in the current sales network; historical sales data of each sales node is called from a database; performing analysis based on the historical sales data of the sales node to obtain a sales prediction basic value of the sales node; making a sales operation strategy of each tea sales node based on the sales prediction basic values of all the sales nodes and the existing total amount of the current to-be-sold tea; and summarizing the sales operation strategies of all the tea sales nodes and recording the summarized sales operation strategies as an optimal operation planning scheme of the tea sales network. The method has the advantages that the unsalable amount of tea leaves can be effectively reduced, the tea leaf storage cost is reduced, meanwhile, intelligent operation planning of a tea leaf sales network platform can be effectively achieved, and it is guaranteed that the tea leaf sales network maintains optimal operation.

The invention discloses a sales operation inquiry diagnosis method and system based on AI multi-source data analysis, and particularly relates to the field of business information data analysis, and the method comprises the steps: a data collection stage, mainly collecting user problems and sales operation data; in the data analysis stage, the user problems and the enterprise sales and operation data are preprocessed and analyzed to obtain corresponding indexes; in the data processing stage, problem diagnosis index sets of three levels are obtained through calculation of user problem type indexes and indexes corresponding to sales and operation data; a model building stage: building a multi-level diagnosis model based on the problem diagnosis index set and carrying out matching positioning on user problems; and an interaction stage: feeding a diagnosis result of the diagnosis model back to a user to realize interaction. Through four stages of data acquisition, data analysis, model establishment and interaction, the problems of one-sided diagnosis result, insufficient diagnosis efficiency and accuracy and difficult interaction in the prior art are solved.

The invention discloses an unmanned automatic sales management method and system, and the system comprises an unmanned sales module which is used for displaying commodity information in unmanned sales equipment, and synchronizing the types and number of commodities selected by a user to a transaction settlement module after the user selects the commodities; after the user completes the payment of the commodity through the transaction settlement module, the commodity is transmitted to a commodity taking port, and the selling information of the commodity is transmitted to the inventory linkage module; the transaction settlement module is used for generating an order according to the category and the number of the commodities synchronized by the unmanned selling module; after the user completes payment for the order, storing corresponding transaction information; and the inventory linkage module is used for deducting the inventory quantity of the corresponding commodities according to the selling information of the commodities transmitted by the unmanned selling module, and pushing replenishment information to workers when the inventory quantity is lower than a threshold value. By applying the method and the system, the problems of non-replenishment of out-of-stock and unsalable overstock can be avoided, and the operation efficiency and accuracy of unmanned sales can be improved.

The invention provides a customer dispatching method and device based on cross-border business, the method relates to a user side, an execution side and a management side, and the method comprises the following steps: the execution side generates a synchronous data request according to a first preset timed task; the execution end receives employee data of all effective employees sent by the user end; the execution end generates a query data request according to a second preset timed task; the execution end receives the unprocessed customer data sent by the management end; the execution end determines a target processing employee in the user end according to the unprocessed customer data; and when the unprocessed customer data is allocated to the target processing employee, the execution end generates a state modification request and sends the state modification request to the management end. Through intelligent dispatching of the clients, the conversion rate from clue clients to cooperative clients can be effectively improved, sales operation is facilitated, company benefits are improved, and the processing efficiency is improved.