25results about How to "Improve sales efficiency" patented technology

The invention discloses a voice interaction sales agent based on a large language model and a sales vehicle. The voice interaction sales agent is constructed through the following steps: step 1, collecting multi-modal data; step 2, constructing a retrieval enhancement generation framework; 3, finely adjusting the large language model; 4, designing an intelligent voice interaction strategy; 5, multi-modal data processing and enhancement are carried out; step 6, designing a functional module; and step 7, system integration and deployment: the voice interaction sales agent is in butt joint with the vehicle-mounted hardware equipment so as to acquire multi-modal data, and all the function modules in the step 6 are integrated. According to the voice interaction sales agent, the intelligent level, the sales efficiency and the user experience of the self-service vending vehicle are effectively improved.

The invention relates to the technical field of data processing, and discloses a multimodal recommendation method and system based on a spectrogram polynomial filter.The method comprises the steps that user data and project data are input into a PolyRec model, and the PolyRec model comprises a multimodal encoder, a behavior encoder and a multimodal alignment module; encoding and fusing the user data and the project data by using a multi-mode encoder to obtain a first feature; encoding the user data by using a behavior encoder to obtain a second feature; and inputting the first feature and the second feature into a multi-modal alignment module for fusion, and outputting a personalized recommendation result. According to the method, the multi-modal characteristics of the user and the behavior information of different frequencies are integrated, so that the user preferences can be captured more comprehensively; and a frequency signal scaler and a unified spectrogram neural network function are adopted, so that the model can flexibly adapt to the characteristics of different frequency signals, and the robustness and adaptability of the recommendation system are further enhanced.

The invention relates to the field of artificial intelligence shopping, in particular to a shopping mall system of an intelligent search interest recommendation algorithm, which comprises a registration and login module used for selecting a login identity and a login mode and inputting login information; the factory cloud supply module is used for updating and deploying the commodity supply information in real time; the merchant service module is used for managing commodity orders, counting service of buyers and analyzing sold commodities; the promotion and distribution module is used for carrying out advertisement putting and promotion activity promotion based on a digital transmission channel, and is also used for helping merchants to carry out management setting on distributors and formulate distribution levels, regional distribution and shareholder bonuses; the financial module is used for providing balance and points of shop members for merchant users and providing commission calculation and commission withdrawal; according to the invention, the enterprise operation efficiency is improved, the cost is reduced, the brand influence and market competitiveness are improved, and an efficient, intelligent and integrated business management system is realized.

The invention provides a sales strategy adjustment system and method based on omni-channel sales data, and the system comprises a sales data obtaining module which is used for obtaining the sales data of a commodity, and the sales data comprises a commodity ID, a sales channel, and a time period; the sales data preprocessing module is used for preprocessing the sales data to generate to-be-clustered data; the clustering analysis module is used for carrying out clustering analysis according to the to-be-clustered data and determining sales strategies of all categories, and the sales strategies comprise the stock amount of commodities, the number of stock turnover days, sales targets and sales prices; and the sales strategy optimization module is used for further optimizing and determining an optimal sales strategy according to the sales strategy determined by the clustering analysis module. According to the invention, the optimal configuration of the inventory, the inventory turnover days, the sales target and the sales price can be realized, and the sales efficiency and the profitability are improved.

The invention provides a vehicle processing method and device based on a virtual human, equipment and a medium, and the method comprises the steps: controlling a vehicle to start a camera when determining that the vehicle is at a selling place and is in a sold mode; according to the image collected by the camera, when it is determined that the user is within the preset range of the vehicle, the vehicle is controlled to deliver sales information and interaction information, and the interaction information indicates the mode of sending an instruction to the vehicle by the user; in response to a trial instruction triggered by the user, generating a virtual salesman, and controlling the virtual salesman to guide the user trial vehicle according to the trial instruction; and after the user finishes the trial, in response to a vehicle purchase instruction triggered by the user, recording purchase information of the user and feeding back pickup information. According to the method, the virtual salesman is generated on the basis of saving the cost required by vehicle sales, so that the sales misguidance generated when the salesman does not reach the sales skill standard is avoided, rapid sales can be realized at any place, and the sales efficiency and the user experience are improved.

The present invention discloses a method, device, electronic device and storage medium for determining a product elimination strategy. First, the time series corresponding to the historical sales data of the target product is obtained, and the target product includes the product to be evaluated and the eliminated product; the sales features of each time series in multiple dimensions are extracted; the target product is clustered based on the sales features to obtain multiple clusters; the number of eliminated products in each cluster is determined to obtain the elimination number; the life cycle corresponding to the product to be evaluated in each cluster is determined based on the elimination number; and the elimination strategy of the product to be evaluated is output in combination with the life cycle. The sales features of different dimensions represent the performance of the product in different aspects in the market. Clustering is based on sales features. The product to be evaluated and the eliminated product are clustered and evaluated together. Products with similar features and performances to the eliminated products can be screened out in the product to be evaluated. The product elimination strategy can be automatically output in combination with historical data to reduce the interference of human subjective factors.

The invention discloses a novel digital business opportunity management tool, which enables an enterprise to combine own actual business scenes, summarize current business opportunity management divided stages and sales actions corresponding to each stage, and copy experience of excellent salesmen to each salesman through a system so as to improve the overall business level and capability. The system can calculate the completion condition of the current salesman through an algorithm and predict the transaction probability of the business opportunity. The method has the advantages that the sales efficiency is improved, the sales performance is improved, the sales experience is shared and inherited, enterprise customer resources are activated, and the customer value is comprehensively analyzed.

The invention relates to a software information synchronization method, a development platform, a component warehouse system and a sales platform. The method is applied to a development platform and comprises the steps that software information corresponding to a first project is generated, the software information corresponding to the first project comprises a plurality of component identifiers corresponding to the first project, and each component identifier corresponds to at least one product identifier; sending the software information corresponding to the first item to a component warehouse system; the software product corresponding to the first product identifier is obtained from a product library of the first project, the software product corresponding to the first product identifier is sent to the component warehouse system, and the first product identifier is any one or more product identifiers included in the software information corresponding to the first project.

The present invention relates to the technical field of marketing strategy analysis, and in particular to a method and system for processing marketing data. The method comprises the following steps: obtaining a target platform marketing data set and performing data format division and caching processing and format unified conversion processing to obtain a target platform marketing standardized format data set; performing user browsing behavior analysis on the target platform marketing standardized format data set to obtain target platform marketing user browsing behavior data; obtaining marketing products in the user browsing behavior process through the target platform marketing user browsing behavior data to perform browsing interest screening processing to obtain a target platform user browsing interest product set; performing advertising browsing division processing and advertising marketing analysis on the target platform marketing user browsing behavior data, and performing marketing strategy analysis to generate a target platform product marketing strategy to execute corresponding target platform product personalized marketing activities. The present invention can provide more accurate and effective marketing strategy support.

The invention relates to an insurance salesman recommendation method and system based on a hybrid recommendation algorithm, and the method comprises the steps: enabling client equipment to generate an insurance service request according to an insurance service demand, and transmitting the insurance service request to a salesman recommendation platform; the salesperson recommendation platform obtains salesperson information of all salespersons from the insurance company service platform according to the insurance service request, and calculates a single score value of each salesperson according to the insurance service request and the salesperson information; the salesperson recommendation platform calculates a comprehensive recommendation value of each salesperson based on a mixed recommendation algorithm and the single score values; and the salesperson recommendation platform selects the salesperson with the maximum comprehensive recommendation value as the optimal salesperson, and sends a service instruction to the sales end equipment corresponding to the optimal salesperson, so that the optimal salesperson handles an insurance service for the target customer according to the service instruction. And the quality of the insurance service process and the customer satisfaction are improved, so that the customer conversion rate and the sales efficiency are improved.

The utility model discloses a hanging sample clothes display stand which comprises a base, a containing box is arranged at the top of the base, a clothes rod is arranged in the containing box and corresponds to a clothes hanger in position, a top box is arranged at the top of the containing box, an annular sliding groove is formed in the bottom of the top box, a sliding block is arranged in the sliding groove, and the sliding block is arranged in the sliding groove. The two ends of the sliding block are fixedly connected with a mounting frame, one side of the mounting frame is fixedly connected with a motor, one end of a motor shaft is connected with one side of a driving wheel, the inner side of the mounting frame is rotationally connected with the driving wheel, the bottom of the sliding block is fixedly connected with a connector, and a rotary display assembly is arranged on the top box. The rotary display assembly comprises a connector slidably connected with the bottom of the top box, a connecting rod is arranged at the bottom of the connector, an electric cylinder is fixedly connected to one end of the connecting rod, a bearing block is arranged at one end of the electric cylinder, and a bearing block is arranged at one end of the connecting rod. According to the device, the sample clothes can be displayed in multiple directions, so that the display efficiency is improved, and the sales efficiency is improved.

The utility model discloses a chilled display stand which comprises a display cabinet body, a height adjusting mechanism is arranged on one side of the display cabinet body, the height adjusting mechanism comprises an adjusting frame capable of moving up and down, rotating guide plates are rotationally arranged on the two sides of the periphery of the adjusting frame, and the rotating guide plates are located over the display cabinet body. A rotating pipe for driving the rotating guide plate to rotate is arranged between the rotating guide plate and the adjusting frame, and a suction pump for extracting fresh-keeping gas is arranged on the periphery of the rotating pipe. By spraying fresh-keeping gas, the chilled food can be kept fresh, flies on the chilled food can be repelled in the gas spraying process, by means of the gas spraying mode, customers can be better attracted, the selling efficiency can be improved, harm to the human body can be avoided, the safety performance can be improved, meanwhile, dust is blown away through gas spraying, and the service life of the chilled food can be prolonged. Dust is prevented from adhering to the chilled food, and normal selling of the chilled food is prevented from being affected.

The invention discloses a 4G wine vending machine control system, and particularly relates to the technical field of vending equipment, and the system comprises a user interaction and experience module which is used for optimizing the sense of participation of a user through multi-channel interaction and real-time feedback, and a comprehensive wine management module which is used for guaranteeing the safety of wine, timely supply and optimization of a replenishment process. According to the system, wine selection and purchase are easily completed by entering an applet through a touch screen or two-dimensional code scanning, the system supports voice instruction input to simplify the operation process, personalized advertisement display and real-time feedback are provided at the same time, the sense of participation of users is enhanced, in the aspect of wine management, the system monitors inventory and low-temperature refrigeration storage conditions in real time, and the management efficiency is improved. A timing self-cleaning function of a wine outlet pipeline and an automatic identification technology ensure accurate updating of wine information, prompt timely replenishment when the inventory is lower than a threshold value and ensure efficient operation of a supply chain, and a comprehensive data analysis module effectively supports marketing strategy optimization and distribution commission calculation, so that the marketing efficiency is improved. The whole system realizes an intelligent and automatic operation mode through 4G network connection.

The utility model discloses a kind of display cabinets for hand-made toy sales, belong to hand-made sales technical field, including cabinet, the inside of the cabinet is provided with the adjusting mechanism for showing the hand-made of different height, the top of the cabinet is provided with the exhaust component for preventing the mold in the inside of cabinet, by being provided with adjusting mechanism, salesperson can adjust the position of adjusting mechanism according to the height of hand-made when using, to facilitate the hand-made of different height is placed, customer is watched conveniently, improve the efficiency of sales, by being provided with exhaust component, by exhaust component, the inside of cabinet can be ventilated, prevent bacteria breeding to cause salesperson or purchaser and excessive bacteria contact to cause influence health, simultaneously can also remove the peculiar smell of hand-made self, improve security.

The embodiment of the present application relates to the field of Internet technology, and discloses a marketing strategy generation method and system based on big data. The marketing strategy generation method based on big data of the present application first determines the target product of pre-marketing based on the current hot search data, then obtains the demand index of the target product based on the hot search data, and then determines whether the historical marketing strategy of the target product needs to be adjusted based on the demand index. If the historical marketing strategy of the target product needs to be adjusted, the historical marketing strategy is adjusted according to the hot search parameter change data to obtain the target marketing strategy. If the historical marketing strategy of the target product does not need to be adjusted, the historical marketing strategy continues to be used. In this way, not only can the generation efficiency of the marketing strategy be improved and labor costs be saved, but also the marketing management technology that is dynamically adjusted according to real-time social hot spots is introduced to improve sales efficiency and input-output ratio.

The utility model discloses a pin pressing mechanism of a retractor, which comprises a pressing block, the pressing block is arranged on a lifting seat, the lifting seat is connected with a lifting driving component, a placing table is arranged below the pressing block, the pin pressing mechanism is characterized in that a positioning groove is arranged on the placing table, the placing table is rotatably arranged on a mounting seat, the pin pressing mechanism further comprises a transfer seat, and the transfer seat is connected with the positioning groove. The transferring base is connected with a moving driving assembly, the moving driving assembly can drive the transferring base to move to the position above the containing table or a pin adding station, a through pin groove is formed in the transferring base, an adsorption hole aligned with the pin groove is formed in the transferring base, and the adsorption hole is connected with a negative pressure assembly. A pressing rod capable of extending into the pin groove is detachably arranged on the pressing block. According to the automatic pin pressing device, automatic transferring and pin pressing of the coiler positioning pin can be achieved, the labor intensity of workers is effectively reduced, and the pin pressing efficiency and quality are improved.

The utility model discloses an intelligent cigarette cabinet which comprises a display cabinet and a plurality of storage boxes arranged in the display cabinet, an intelligent payment system is arranged on the top of the display cabinet, and an RFID reader-writer connected with the intelligent payment system is arranged in the display cabinet. An opening is formed in the top of the storage box, the storage box is provided with a movable baffle used for opening or closing the opening, an RFID electronic tag is arranged on the bottom wall in the storage box, and electromagnetic shielding materials are arranged on the inner walls of the periphery of the storage box and the inner side face of the movable baffle. When the cigarette case is taken out of the storage box, the movable baffle is in a closed state. The cigarette cabinet can solve the problem that a traditional cigarette cabinet is low in sales efficiency.

The invention provides a sales management system for mobile communication products. The system comprises the steps of collecting inventory state parameters of the mobile communication products; on the basis of the inventory state parameters, sales trend prediction of each sales channel is obtained through calculation; determining a sales strategy optimization function of a preset sales channel according to the sales trend prediction; determining market demand state information of a sales management system of the mobile communication product based on the inventory state parameters; determining a price adjustment function of the preset sales channel according to the market demand state information; determining a sales management gain coefficient of the preset sales channel according to a preset boundary condition, the sales strategy optimization function and the price adjustment function; and based on the sales management gain coefficient, controlling the preset sales channel to optimize the sales management of the mobile communication product. According to the invention, the efficiency of sales management and the market response speed can be improved, and the competitiveness of sales channels is enhanced.

The present invention relates to the field of agricultural product e-commerce technology, specifically to a hierarchical control method for agricultural product supply and demand applied to an Internet cloud platform, which collects user data of buyers and sellers, obtains their purchase and sales needs, and identifies and classifies buyers and sellers by building an agricultural product transaction cloud platform; creates a personalized transaction matching strategy based on the multi-level scenarios of agricultural product circulation and the multi-dimensional characteristics of buyers and sellers; based on user classification and matching strategies, the cloud platform achieves accurate matching of buyers and sellers, and outputs supply and demand agricultural product data at the same time. The method of the present invention utilizes cloud computing and big data analysis technology to improve the efficiency of agricultural product circulation and provides a new idea for the digital transformation of the agricultural industry.

The embodiment of the invention discloses a business opportunity processing method and device, a platform and a storage medium. The business opportunity processing method is applied to a business opportunity processing platform and comprises the steps that a currently triggered target business opportunity event is acquired, and the target business opportunity event carries a target event identifier and a target customer identifier; determining a target content generation strategy corresponding to the target event identifier from a plurality of preset content generation strategies; generating target shopping guide business opportunity content according to the target content generation strategy and the target customer identifier; determining a target content distribution strategy corresponding to the target event identifier from a plurality of preset content distribution strategies; and performing distribution processing on the target shopping guide business opportunity content according to the target content distribution strategy and a target shopping guide identifier corresponding to the target customer identifier. By implementing the method provided by the embodiment of the invention, the shopping guide business opportunity content can be automatically generated, so that the shopping guide personnel can timely obtain the business opportunity through the shopping guide business opportunity content, and the sales efficiency is improved.

The invention discloses an intelligent sales management system based on big data, and relates to the technical field of sales management, and the technical scheme is that the system comprises a commodity sales management system, and the output end of the commodity sales management system is connected with an online commodity sales system and an offline commodity sales system. The output end of the online commodity sales system is connected with the online commodity sample display system and the online sales platform matching system, the output ends of the online commodity sample display system and the online sales platform matching system are connected with the online commodity sales classification system, and the output end of the online commodity sales classification system is connected with the big data commodity pushing system. The system has the beneficial effects that the big data commodity pushing system is used for pushing the commodities which need to be purchased by the buyer, the buying desire of the buyer is greatly improved, and meanwhile, the device adopts the user buying credit detection system to perform classification and detection work on users with different buying powers.

The present invention discloses a circulating rotating delivery device and a vending device having the same. The delivery device comprises: a shell, a closed curved slide arranged on the shell, a plurality of delivery components arranged along the closed curved slide and abutting against each other, a driving component and a detection component arranged below the closed curved slide; a protrusion is arranged at the bottom of the delivery component; the driving component comprises a rotating paddle arranged below the closed curved slide and a driving member driving the rotating paddle to rotate; the rotating paddle rotates to drive the protrusion to move, so that the delivery component circulates along the closed curved slide; the detection component is electrically connected to the driving component and is used to detect the position of the delivery component. The circulating moving delivery device of the present invention improves the efficiency of vending, has a compact structure and high space utilization, low manufacturing cost, and is easy to maintain. It can sell multiple types of goods at the same time, and can also enable multiple people to shop at the same time without affecting each other.

The application discloses a coal type sales planning and sales time collaborative control method and system based on a coal enterprise, and relates to the technical field of coal sales management.The application integrates multi-source data through a data fusion algorithm and other technical means, solves the problems of data dispersion and different formats, provides high-quality data support for subsequent analysis, accurately predicts sales trends and price fluctuations by using a long short-term memory neural network and a regression analysis model, helps enterprises optimize sales strategies, reduces inventory backlog risks, dynamically adjusts sales tasks by means of linear programming and reinforcement learning algorithms in combination with real-time data, improves market response speed and sales efficiency, and effectively improves the scientific nature and flexibility of coal enterprise sales management and enhances market competitiveness.

The invention provides an unmanned container operation system and operation method based on consumption data, and the system comprises a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit, and a safety monitoring unit. The commodity information comprises a container ID, an inventory, a commodity ID, a commodity classification ID, a commodity name, a market price, a price adjustment value and a state; the commodity dynamic management unit obtains the commodity ID stored in the container and the corresponding stock information in real time according to the container ID, calculates the market evaluation value of the commodity ID according to the market price, the price adjustment value and the stock, and synchronously updates the commodity ID and the corresponding market evaluation value in the commodity management unit, thereby achieving the dynamic adjustment of the commodity information. And the commodity dynamic management unit is also used for calculating a market evaluation total value of the container ID according to the updated commodity information.

The application relates to the technical field of sales interaction assistance, and particularly discloses a store sales real-time interaction assistance system and method based on an AI intelligent agent, which comprises the following modules: a demand interpretation module that extracts demand-related texts of a store customer from real-time voice of the store customer, interprets the demand-related texts of the customer to obtain customer demand; an initial guide assistance module that generates initial guide language based on customer demand and store inventory information by using a preset AI model; a product interest analysis module that is used for obtaining emotion capture information and strong attention action recognition information of the store customer in the process of receiving the initial guide language, and generates a real-time product interest heat map of the store customer; and an advanced guide assistance module that generates advanced guide language based on the latest demand-related texts of the store customer and the real-time product interest heat map until the guide task is completed; and the interaction quality of store sales is comprehensively improved.