8 results about "Sales operations" patented technology

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 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.

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.

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 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 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.