146 results about "Consumer demand" patented technology

A system to personalize a shopping experience in a conversational commerce platform is disclosed. The system includes a processing subsystem having a user interface module for consumer input and an input conversion module that processes and translates this input using a large language model (LLM) engine. The engine module features a catalog facet creation module that structures product information, a facet enrichment module for detailed descriptions, images and buyers' profile, and a customer profiling module utilizing natural language processing to understand customer needs. An AI merchandising module presents optimal product facets to customers based on profiles and historical data. Additionally, a conversational commerce module facilitates product selection through guided conversations, while a personalization module tailors recommendations. The system also includes a data collection and analytics module for performance tracking and a training and optimization module for continuous improvement of the LLM.

The invention relates to a financial customer precision marketing system and method based on big data and artificial intelligence in the field of financial science and technology and intelligent marketing cross technology, and provides a financial customer precision marketing system and method based on big data and artificial intelligence by integrating multi-dimensional customer data, constructing a dynamic customer portrait, predicting customer demands by using a deep learning model and combining the real-time reaching capability of enterprise WeChat ecology. According to the method, automatic execution and closed-loop optimization of a personalized marketing strategy are realized, and the customer conversion rate and loyalty of a financial institution are improved; the method is innovatively embodied in deep combination of an emotion recognition technology and a financial scene, reinforcement learning optimization of a dynamic rule engine and a privacy compliance data desensitization mechanism, and solves the problems of lagging customer demand recognition and low strategy matching efficiency in traditional marketing.

The invention provides a logistics resource sharing and dynamic optimization configuration method based on the industrial internet in order to solve the technical problems that an existing distribution task distribution mode is mostly based on static data and is not flexible and efficient enough, and most distribution systems do not fully utilize real-time state information of vehicles, so that dynamic adjustment and optimization cannot be achieved in the distribution process. On the basis of perception of logistics resource real-time state information and customer demand dynamic information, a vehicle path model suitable for mixed taking and delivering is constructed, and the model is a multi-target model considering vehicle cost, time window deviation punishment cost and the like. In combination with the state information of the current logistics resources and the dynamic change of the customer demand, the hybrid delivery vehicle path model is solved through an improved adaptive large-scale neighborhood search algorithm to obtain an optimized delivery path scheme, so that the logistics vehicles can dynamically respond to the customer demand in the delivery process, and the delivery efficiency is improved. The method is more flexibly suitable for dynamically changing distribution requirements and complex urban traffic environments, and efficient logistics services are realized.

The invention discloses an assembling device and method of a high-efficiency filter in the technical field of machining and assembling, and aims to solve the problems that in the prior art, the process of detaching and replacing filter paper of the high-efficiency filter by a customer is complicated, and the quality is easy to cause problems. The assembly line comprises an assembly line used for conveying folded filter paper, the assembly line is sequentially provided with a gluing assembly, a screen plate placing assembly, a side plate assembly assembly and a connecting strip assembly assembly from upstream to downstream, the upstream and the downstream of the assembly line are divided into a first section and a second section respectively, and the feeding width of the second section of the assembly line is smaller than the length of the filter paper; a jacking conveying line is further arranged on the side of the upstream position of the second section of the assembly line, and a second conveying line is further arranged on the side of the downstream position of the second section of the assembly line. The invention is used for providing a new filter paper assembly mode, so that the efficient filter equipment of a customer can be efficiently replaced according to the customer demand, the manual operation error can be reduced while the assembly efficiency is guaranteed, and the assembly efficiency and quality are better.

The invention discloses a product recommendation method and device, computer equipment and a storage medium, belongs to the technical field of artificial intelligence, and is applied to a recommendation scene of financial products. According to the method, end-to-end data standardization, semantic analysis and privacy protection are carried out; performing disturbance and noise injection based on differential privacy; the method comprises the following steps: accurately capturing short-term fluctuation and long-term trend of customer demands by virtue of a multi-level time sequence algorithm, and extracting a typical demand change mode through segmented clustering and modeling; when significant demand fluctuation is detected, the online learning and deep reinforcement learning model can update a recommendation strategy in real time; the interpretability analysis module transparently presents a recommendation decision basis; user feedback is continuously absorbed through incremental learning, model parameters are continuously optimized, and finally it is guaranteed that an accurate personalized recommendation result is output under millisecond-level response. According to the method, the recommendation accuracy, the user satisfaction and the service conversion rate are remarkably improved, and the compliance and the expansibility are considered at the same time.

According to the embodiment of the invention, the instrument type selection method comprises the following steps: demand collection: obtaining a spoken type selection demand input by a user; the demand analysis is used for converting the spoken type selection demand input by the user into a demand of applying a standard instrument term; type selection searching: searching in an instrument type selection knowledge graph based on the analyzed demand to obtain an instrument entity meeting the demand; and performing model selection evaluation, calculating weighted scores of the instrument entities meeting the requirements based on weights of different model selection elements, and obtaining the instrument entities of final model selection, based on the method, customer requirements can be more fully and accurately understood, meanwhile, the entity association ability and retrieval ability of the knowledge graph are further enhanced, and the user experience is improved. Therefore, the instrument type which better meets the requirements of the user is recommended for the user. The invention further provides an instrument type selection system and a storage medium.

The invention provides an automatic waybill ordering method and system based on logistics docking, and the method comprises the steps: constructing a logistics resource intelligent agent set and a logistics resource market based on logistics resource data, obtaining customer demand data, constructing a customer demand intelligent agent based on the customer demand data, and carrying out the customer demand intelligent agent set and the logistics resource market; and generating a corresponding logistics risk portrait in combination with a preset logistics risk map and a multi-factor risk convolution mechanism, putting the customer demand agent into a logistics resource market for game prediction, obtaining a corresponding game prediction result, generating a corresponding logistics risk assessment report based on the game prediction result, and performing logistics risk assessment. The method comprises the steps of performing logistics resource screening based on a logistics risk assessment report, generating corresponding logistics waybill data, generating a corresponding electronic logistics waybill in combination with a waybill adaptive conversion mechanism, obtaining an actual performance data set of the electronic logistics waybill, and performing feedback optimization on a module corresponding to an automatic waybill ordering system in combination with the actual performance data set. Therefore, the quality of service provided for merchants is improved.

The invention provides a heating control method of an air fryer, the air fryer comprises a cooking cavity, a hot air assembly and a temperature sensor, the hot air assembly comprises a fan and a heating piece, the heating piece comprises a first heating pipe and a second heating pipe, and the power of the first heating pipe is larger than that of the second heating pipe; the heating control method comprises a temperature rise stage and a constant temperature stage, the temperature control logic of the constant temperature stage is selected according to the target control temperature, the target control temperature is not smaller than 180 DEG C, the first temperature control logic is selected, the second heating pipe is continuously started, and the first heating pipe is intermittently started for compensation; and if the target control temperature is not greater than 120 DEG C, selecting a second temperature control logic, intermittently opening the second heating pipe, and intermittently opening the first heating pipe for compensation. Different temperature control logics are set for different target control temperatures, so that the coloring requirements of different food materials during high-temperature and low-temperature cooking can be met, cooking is more professional, and the cooking requirements of consumers on'good color, aroma and taste 'at present are met.

The application discloses a product design intelligent evaluation system based on big data, and particularly relates to the technical field of product design evaluation, and the system comprises an anchor point account establishing module, a product evaluation module, a scheme rating module and a result output module; the anchor point account establishing module forms a design anchor point table according to a demand preliminary evaluation sheet and initial scheme information; the product evaluation module acquires a scheme change sheet and calls scheme verification data, and performs product undertaking verification; the scheme rating module combines the undertaking verification result and an auxiliary verification result to output a scheme evaluation state; and the result output module outputs product design intelligent evaluation results in a summarized manner. The application can continuously verify whether customer demand is undertaken by design parameters, versions, materials, processes, samples, costs and market feedback after scheme change, and can locate abnormalities to specific change fields, change components, anchoring relationships and data sources, thereby improving the traceability and review efficiency of evaluation results.

The invention discloses a scene self-adaptive scoring method and system based on double-agent collaboration, and belongs to the technical field of artificial intelligence and data processing. The method comprises the following steps: identifying an intelligent agent through a user intention, and receiving and identifying a customer demand containing a target marketing scene; the user intention recognition agent transmits recognized target marketing scene information to a scoring modeling agent; the score modeling agent adaptively screens and obtains personalized user data related to the target marketing scene from a database containing operator data according to the target marketing scene; and the score modeling agent fuses the personalized user data and the universal user data, and performs score modeling on the users based on the fused data to obtain scores of the users in the target marketing scene. According to the invention, automation, precision and high efficiency of the scoring system are realized, and the efficiency and accuracy of marketing scoring are significantly improved.

The utility model discloses a traction pillow which comprises a pillow body, a neck traction part is arranged on the rear side of the pillow body, a prefabricated supporting strip is wrapped on the inner side of the neck traction part, inner exhaust holes are formed in the inner side of the prefabricated supporting strip, and outer exhaust holes corresponding to the inner exhaust holes are formed in the outer side of the neck traction part. The prefabricated supporting strip is a polyurethane prefabricated supporting strip, and the inner side of the prefabricated supporting strip and the inner side of the neck traction part are each connected with a steel wire. According to the utility model, the manufacturing is simple, the neck traction part is embedded into the prefabricated supporting strip, the hardness of the prefabricated supporting strip can be adjusted according to customer requirements, the use requirements of different consumers are met, a steel wire can penetrate through the middle of the prefabricated supporting strip to fix the prefabricated supporting strip at the required mold cavity position, and the steel wire is pulled out after foaming is completed, so that the production efficiency is improved. The inner exhaust holes and the outer exhaust holes are used for improving the odor dispersing and thorough drying rate or the exhaust effect of polyurethane, residual odor is avoided, and the use effect of consumers is good.

This invention discloses a method for producing ginger gummy candy, belonging to the field of gummy candy processing technology. Potato resistant starch, locust bean gum, monoglycerides, and water are added to a mixing tank, stirred, and heated to boiling. A gelatin solution is then added dropwise to the mixing tank while stirring continues to obtain a starch mixture. Ginger juice and a sweetener are added to the mixing tank, followed by the starch mixture and lemon juice. The mixture is poured into a mold and cooled to set, yielding the finished ginger gummy candy. The method utilizes a combination of potato resistant starch, locust bean gum, and gelatin, leveraging the high thermal stability and low coagulation properties of the starch-polysaccharide gel system to improve the sensory characteristics of the ginger gummy candy and meet consumer demands for taste.

This invention provides a method for cultivating cigar wrapper tobacco leaves, belonging to the field of tobacco cultivation technology. The cultivation method includes the following steps: ridging and drip irrigation cultivation; before transplanting tobacco seedlings, the ridges are moistened to increase soil moisture, controlling the drip irrigation flow rate at 1.0-1.5 L / h and the drip irrigation duration at 3-5 hours; shading begins after the tobacco plants enter the bush stage, with the shade net having a light transmittance of 60%-80%; during the vigorous growth period of the tobacco plants until the end of harvest, spraying is carried out when the temperature exceeds 33℃, with a spraying volume of 800-1500 kg / mu. Through the cultivation method of this invention, the appearance quality of cigar wrapper tobacco leaves can be significantly improved, such as color uniformity and leaf tissue integrity, as well as physical properties such as leaf thickness and elasticity. High-quality wrappers can enhance the overall quality of cigars, strengthen their competitiveness in the market, meet consumer demand for high-quality cigars, and thus increase the added value of cigar products.

The invention discloses an intelligent de-inventory method for idle real estate resources, and relates to the technical field of real estate management, and the method comprises the following steps: S1, obtaining the idle real estate resources, carrying out the recognition, classification and labeling of the idle real estate resources, and constructing a dynamic resource feature library; s2, analyzing the customer demand text, extracting a multi-level keyword, and generating a customer demand vector; s3, establishing a resource matching model, and sequentially generating a first recommendation scheme, a second recommendation scheme to an Nth recommendation scheme in combination with a resource feature library and a government preferential policy; and S4, outputting all the generated recommendation schemes as a stepped recommendation scheme set, and sorting the recommendation schemes according to the comprehensive score for the user to select, thereby effectively improving the inventory removal efficiency of the idle real estate resources.

Lime-incorporated chitosan (LCh) beads are a non-toxic, environmentally friendly, and efficient preservative for food products, showcasing their superiority in microbial control, alcohol inhibition, color retention, and maintenance of physicochemical parameters. The all-natural LCh beads described here exhibit an on-par preservation performance with synthetic sodium benzoate at its maximum permissible limit in fruit juices. Additionally, the LCh beads offer the unique advantage of reusability, maintaining their preservation efficacy over multiple fruit juice preservation cycles, contributing to economic and environmental sustainability. The all-natural and biodegradable LCh beads exhibit comparable or superior preservation performance to synthetic preservatives like sodium benzoate at its maximum permissible limit in fruit juices. In light of the growing concerns about the harmful effects of synthetic preservatives, LCh beads present an eco-friendly and biocompatible solution, aligning with the increasing consumer demand for fresh and safe foods without chemically synthesized additives.

The invention belongs to the technical field of big data customer information matching, and discloses an intelligent customer information matching method based on big data, which comprises the following steps of: firstly, establishing a scene customer behavior semantic dictionary according to three groups of new customers, high-value customers and loss early-warning customers, and determining behavior label mapping rules of different customer types; for example, the browsing duration of a new customer exceeds 3 minutes, the consultation frequency exceeds 2, the behavior is defined as a high-intention behavior, the semantic dictionary is dynamically updated every 24 hours based on cross-platform semantic conflict feedback, and the cross-platform data semantic standard is unified; secondly, screening weak association features by adopting a mutual information and customer value double-weight algorithm, setting weights according to customer value differences, and preferentially retaining features with higher association degree with customer demands to generate structured feature vectors; and finally, deploying a preprocessing effect verification module at an edge computing node, performing field secondary labeling, null interpolation complementation and time format unification operation on the data, and improving the data standardization level.

The invention provides an insurance customer demand matching and efficiency management and control method based on multi-source data fusion. The method comprises the following steps: S1, collecting and inputting customer basic information and user-defined tags; s2, receiving customer basic information and a self-defined label, and performing customer demand analysis; s3, performing matching degree evaluation on a customer evaluation result and a company platform product; s4, the salesperson determines whether to invitation according to the evaluation result, and the management personnel performs platform quality control according to the evaluation result; s5, acquiring a customer participation platform record and a transaction product record; and S6, performing model optimization according to the customer participation platform record and the transaction record to further improve the accuracy of the prediction information. According to the invention, accurate screening of platform customers is realized, a scientific sales basis is provided, and the problems of large flow and low transaction efficiency of an insurance sales platform are solved.

The invention discloses a customer financial product recommendation method and device. The method comprises the following steps: step 10, collecting multi-dimensional data of a new customer; step 20, carrying out preprocessing on the multi-dimensional data; step 30, integrating features from the preprocessed multi-dimensional data, and constructing a feature set; and step 40, inputting the feature set into a recommendation model, and selecting a financial product to be recommended to a new customer according to a result output by the recommendation model. According to the customer financial product recommendation method and device provided by the invention, customer demands are accurately identified, and personalized financial product recommendation is provided for customers.

The invention provides a financial lease method and equipment based on dynamic portrait matching, and belongs to the technical field of financial lease. The financing leasing method comprises the following steps: acquiring user information and equipment leasing information of an equipment leasing party, and constructing a user portrait of the equipment leasing party according to a leasing keyword of the information; using a multi-dimensional feature matching algorithm to match the user portraits of the device leasee and the plurality of device providers in the database to obtain a multi-dimensional feature matching degree; pushing the equipment provider information and the corresponding equipment information to an equipment lessee according to a sequence of the multi-dimensional feature matching degrees from high to low; and according to the operation instruction of the equipment leasee and the communication information with the equipment providers, adjusting the user portrait of the equipment leasee in real time, and according to the adjusted user portrait, dynamically matching the multi-dimensional feature matching degree and reordering the equipment providers to promote financing lease between the equipment leasee and the equipment providers. According to the method, the customer demand can be accurately met.

The utility model discloses a combined concave swing seat frame mechanism based on a slide rail, which comprises a base, a chair seat and a first electric push rod, the chair seat comprises a sitting and leaning frame and a backrest frame, a sliding frame is arranged on the base, at least two first hinge shafts are arranged on the left side and the right side of the sliding frame, and the first electric push rod is arranged on the first hinge shafts. A swing arm capable of swinging relative to the sliding frame is arranged on each first hinge shaft, the bottom of each swing arm is hinged to the sitting and leaning frame, the sitting and leaning frame is hung on the sliding frame through the swing arms, a swing arm driving assembly is further arranged on the sliding frame, the first electric push rod is hinged to the base, and the output end of the first electric push rod acts on the sliding frame. On the basis of the existing back-and-forth sliding and back rising and falling functions, the electric swing function technology is upgraded and added, the product configuration function is improved, more consumption requirements are met, the foot bath tub is suitable for more types of foot bath tubs and use places, swing in the mode is more stable, the action gives people a hypnotic feeling, people are promoted to have a rest and relax, and the user experience is improved. And anxiety and nervousness can be relieved.

The invention discloses a mobile phone middle frame with a texture effect and a manufacturing process thereof, and relates to the technical field of 3C electronic manufacturing. The 3D vacuum laminating process and the texture effect membrane are applied to the appearance effect decoration of the mobile phone middle frame structural member, so that the mobile phone middle frame has a colorful texture effect, multiple texture changes and a strong texture color effect and is suitable for different user requirements, and the appearance hand feeling effect of the middle frame can select an outer texture effect according to the user requirements; the requirements of consumers can be comprehensively met; and moreover, the process does not use a traditional spraying process, so that emission of volatile organic compounds (VOC) is avoided, and the production process is more environment-friendly.

The utility model discloses an assembly type cupboard with a water tank, which belongs to the technical field of cupboards, and comprises four supporting upright posts and a countertop, fixing holes are arranged at the end positions of the four side surfaces of the countertop, the side surfaces of the countertop are two parallel step surface structures, and the water tank is arranged in the step surface structures. The lower step face is fixed to the supporting stand columns in a matched mode, the upper step face is located above the supporting stand columns, the section of each supporting stand column is of a right-angle bent plate structure, and a supporting side plate is fixedly installed between the supporting stand columns on the two sides. According to the cabinet with the water tank, the back plate, the supporting side plates and the cabinet door are installed in an optional mode, an open mode or a closed mode can be selected according to customer requirements, the connecting bent plates and the connecting bent assemblies are arranged at the two ends of the reinforcing connecting pieces, the structural stability of connecting and assembling can be effectively improved, and the service life of the cabinet is prolonged. The matching components are supported through the buckles and fixed through the screws, and the assembling process is easy to operate.

The liquid feeding structure comprises a machine body and a first liquid feeding device, a liquid receiving disc is arranged in the machine body, the first liquid feeding device comprises a water tank, a valve ball and a spring, the water tank is movably arranged at the top of the machine body in the vertical direction, a liquid feeding pipe is arranged at the bottom of the water tank, a valve port is formed in the bottom of the liquid feeding pipe, and the valve ball is arranged in the valve port. The valve ball and the spring are movably arranged in the liquid feeding pipe, the spring provides elastic acting force for the valve ball so that the valve ball can abut against the valve port to achieve closing of the valve port, and a trigger piece is arranged on the liquid receiving disc corresponding to the valve ball so that the trigger piece can push the valve ball to achieve opening of the valve port when the water tank moves downwards. When liquid needs to be poured in for freezing, the water tank is pressed down to drive the liquid feeding pipe to move downwards, meanwhile, the valve ball is opened through the triggering piece, the liquid in the water tank is reserved to the liquid receiving disc through the liquid feeding pipe, more liquid is stored in the smoothie machine through the structure, people can conveniently and continuously use the smoothie machine, and the requirements of consumers are met.

According to the moisture-resistant processing method, water is used as a solvent, seasoning components such as salt, sugar and starch are fully dissolved to form seasoning liquid, and the seasoning components effectively enter the chili sections through permeation and diffusion effects of water molecules under a heating condition, so that surface powder is prevented from falling off and precipitating, and the moisture resistance of the chili sections is improved; the appearance of the product is smoother, and the color is brighter. In the subsequent temperature-controlled stir-frying process, water is gradually evaporated, and seasoning components are uniformly solidified inside and on the surfaces of the chili sections in the form of microcrystals or films to form a compact protective layer, so that external moisture can be effectively blocked, mildewing is prevented, no chemical preservative needs to be added, and natural and healthy consumer demands are met. By adding edible oil in stages, the integration of flavor and the formation of a protective film are further promoted, the taste and the storage stability of the product are improved, and the stability of the internal structure of the chili sections is ensured by setting a natural cooling process.

To realize a demand forecasting display device that can provide users with information to make more accurate product demand forecasts. [Solution] The demand forecasting display device comprises: a consumption forecasting unit that uses purchase data showing the actual purchase history of the product by consumers to forecast consumer demand for the product for each unit period during the forecast period; a wholesale shipment forecasting unit that uses wholesale shipment data showing the actual shipment history of the product by wholesalers to forecast wholesale shipment demand for each unit period during the forecast period; a manufacturer shipment forecasting unit that uses manufacturer shipment data showing the actual shipment history of the product by manufacturers to forecast manufacturer shipment demand for each unit period during the forecast period; and a display control unit that displays the forecast results for consumer demand, the forecast results for wholesale shipment demand, and the forecast results for manufacturer shipment demand on a common time axis.

This device is used for shaping and cultivating fruits and vegetables, and its primary challenge is to meet the high consumer demand for safe and secure food products, while also addressing operational efficiency and standardization of product specifications. [Solution] A molding container for shaping fruits and vegetables into a desired form in a molded cavity inside a vertically elongated cylindrical body with a closed top and an open bottom, The cylindrical body comprises a first half-container and a second half-container, the first half-container and the second half-container are joined together at one of two rotatable hinges so as to be able to open and close, and the other hinge is used to join them together, forming the molded cavity which has a cross-section of the desired shape when joined, a fruit stem through-hole is formed on the top surface to connect the molded cavity to the outside, and a lid bottom which closes the opening is provided on the bottom surface so as to be able to be attached and closed.

The invention provides oil-control skin-care colloidal sulfur powder cream and a preparation method thereof. The oil-control skin-care colloidal sulfur powder cream comprises the following components in percentage by mass: 5-10% of sulfur, 15-25% of kaolin, 10-20% of silicon dioxide, 3-8% of acacia gum, 10-25% of a wetting agent, 2-7% of an active component, 1-4% of an auxiliary agent and the balance of a solvent. According to the invention, colloidal sulfur with relatively small particle size is used, so that effective delivery is provided, visibility and odor of components are reduced to the greatest extent, and acne and comedo are prevented by a milder method, so that the composition becomes an ideal choice for people with sensitive skin. Besides, silicon dioxide, kaolin, colloidal sulfur and other components are compounded, specific powder-to-cream treatment is carried out, the powder-to-emulsion texture is unique, use is easier, when pressure is applied in the smearing process, the powder is subjected to phase change, light emulsion is formed, and therefore the powder acts on the skin, and the requirements of the market and consumers are met.

The utility model provides a heat radiation device applied to a frequency converter. The heat radiation device comprises a housing, a metal plate seat, a power heating device, a heat radiator, a fan and a fan cover. The metal plate seat is assembled at the bottom of the shell, the radiator is arranged in the shell, the power heating device is connected with the radiator, a preset distance is kept between the shell and fins of the radiator, an air duct cavity is formed in the shell, an air inlet is formed in one end of the shell, an air outlet is formed in the other end of the shell, and the fan is arranged at the air outlet of the shell through the fan cover; a large-size open groove is formed in the side face of the shell, the metal plate base is provided with a side plate, the side plate is matched with the open groove, the radiator is provided with a side base plate, the side plate of the metal plate base extends inwards to form an extending part, and the extending part is attached to the side base plate. According to the utility model, the heat dissipation effect of the frequency converter is obviously improved, so that the heat dissipation device can be smaller and can better meet the requirements of customers.

The invention relates to an AI model-based auxiliary advertisement order execution checking method and system. The method comprises the steps of receiving an advertisement order request generated based on an unstructured customer demand; calling a natural language processing model with incremental learning ability to perform semantic analysis according to the advertiser exclusive analysis configuration, and extracting structured order key information; formatting the information through a standardization rule; in the order creating process, the information to be input and the standardized demand data are compared in real time, and a comparison result containing the consistency state and difference details is generated; and implementing intelligent process control based on a comparison result: automatically establishing an order when the comparison result is completely consistent, and blocking the process and guiding correction when the comparison result is inconsistent, thereby forming closed-loop verification. According to the invention, full-process intelligent management and control from customer demand understanding to order execution are realized, the problems that the prior art depends on manpower, error discovery lags behind, and the data standardization degree is low are effectively solved, and the accuracy and efficiency of order processing are remarkably improved.