109 results about "Product mix" patented technology

Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language product response.

The invention relates to the field of computer industry, and discloses an integrated computer software and hardware combined sales optimization system and method, and the method comprises the steps: extracting software and hardware sales records, customer transaction behaviors and version updating tracks, and constructing a fusion data set of heterogeneous sales data; performing association weight analysis on the fused data set, and extracting strategy sensitive points in software and hardware linkage transaction in combination with a customer behavior intention model and product life cycle characteristics; constructing a product combination feasible region in a specific sales window by adopting a combination optimization graph search algorithm based on the tag nested structure; mapping the candidate combined product list to a historical sales behavior map, and extracting dynamic feedback modes of a combined strategy under different sales paths by introducing a price elastic response model and market disturbance fluctuation characteristics; and carrying out iterative adjustment and node intervention on the strategy path based on the high-sensitivity area. The method has the advantage of improving the scientificity of sales strategy formulation.

The invention discloses a sales prediction system based on machine learning, and relates to the technical field of sales prediction, and the system comprises a data integration module which collects commodity display images and customer behavior image data in a shop by means of an image collection device. Comprising commodity display images in shops, customer behavior images and structured business data in an enterprise sales management system, comprehensive and accurate insight of sales activities is realized, the data integration module effectively fuses the images and the structured data, the quality and availability of the data are improved, a solid foundation is provided for subsequent analysis, and the system is suitable for popularization and application. The product association prediction module uses an advanced association rule algorithm to accurately judge the complementation and substitution relationship between products, and uses a multi-product joint prediction model to carry out sales prediction, so that the prediction accuracy and reliability are significantly improved, enterprises are helped to better understand the market demand, and the market competitiveness is improved. And an enterprise can be guided to optimize product combination and formulate an accurate marketing strategy.

A system is configured to quickly identify relevant solutions from a complex portfolio of products that each may incorporate one or more solutions. This system therefore enables determination of a customized set of solutions for a particular end-user or end-user of the solutions.

A system and method are disclosed for extracting hindsights for assortment planning. The system provides for classifying each of one or more products in a product display area of a retail entity as high-performers or low-performers according to selected metrics. The system further provides for identifying a strength of each individual product attribute associated with each of the products, deriving a multi-combination strength of combinations of product attributes using the identified strength of each individual product attribute, and generating recommendations for product combinations based on the derived multi-combination strength of combinations of product attributes and the selected metrics.

The invention discloses a brand franchise management system and method, and relates to the technical field of franchise management.The system comprises a franchise pre-auditing module, a franchise management module and a franchise assistance module.The method comprises the steps that a preset franchise store and a raw material basic transportation scheme are determined through the franchise pre-auditing module, and a franchise provider selects a target franchise; the franchisee management module collects delivery and product data of a target franchisee in operation, analyzes and judges the quality of the franchisee and regulates and controls a raw material transportation scheme, and the franchisee assistance module collects regional product consumption habit data, analyzes and generates a differentiated product combination recommendation scheme and regulates and controls a raw material assistance transportation scheme for a high-quality franchisee. According to the system, from franchisee early-stage site selection to operation management, data calculation and model analysis are assisted and applied, scientific and accurate brand franchisee management is achieved, and franchisee operation benefits and brand competitiveness are improved.

A system and method are disclosed for extracting hindsights for assortment planning. The system provides for classifying each of one or more products in a product display area of a retail entity as high-performers or low-performers according to selected metrics. The system further provides for identifying a strength of each individual product attribute associated with each of the products, deriving a multi-combination strength of combinations of product attributes using the identified strength of each individual product attribute, and generating recommendations for product combinations based on the derived multi-combination strength of combinations of product attributes and the selected metrics.

The invention belongs to the technical field of ship construction, and provides a ship sub-assembly plan scheduling method, which comprises the following steps: dividing sub-assembly products into a plurality of sub-assembly groups, endowing a first identification code and binding corresponding structure type information; on the basis of the segmented objects needing production scheduling, corresponding object products are obtained, and theoretical construction time consumption is calculated; dividing the object products into a plurality of production takt groups according to a preset man-hour fluctuation range, and endowing the production takt groups with second identification codes; and dividing the object product into a plurality of product packages by using the first identification code and the second identification code based on a preset progress check period and the number of working procedure operators, sub-packaging the product packages into a plurality of part packages, and performing production scheduling on the part packages so as to perform a small assembly working procedure on the object product to obtain corresponding small assembly products. By means of the method, the product combination suitable for rhythm production is constructed, the purpose that the same person produces the same product in the same site is achieved, the ship assembly tends to be the standardized operation process, and the ship building efficiency is improved.

The invention relates to the technical field of data processing, and discloses a fast moving consumer goods correlation analysis method and device based on consumer purchase data, and the method comprises the steps: obtaining the product data of fast moving consumer goods and the consumption code scanning data of a plurality of member consumers for the fast moving consumer goods; based on the consumption code scanning data and the product data, clustering fast moving consumer goods varieties of all fast moving consumer goods purchased by the plurality of member consumers to obtain a plurality of fast moving consumer goods clustering results; clustering the plurality of member consumers based on the consumption code scanning data to obtain a plurality of consumer clustering results, the plurality of consumer clustering results including multivariate consumers; a plurality of association rules are determined based on fast moving consumer goods varieties purchased by multivariate consumers, and the support degree and the confidence degree are calculated. By determining the relevance of the fast moving consumer goods of the same brand and the relevance between the fast moving consumer goods and the purchase behavior of the consumer, enterprises can more accurately formulate marketing strategies and optimize product combinations.

A system and method are disclosed for planning a product assortment based on a sales forecast without using a cross elasticity by receiving a percentage pricing change for at least two substitutable products of an inventory in a supply chain network having one or more supply chain entities, and at least two substitutable products are grouped in the same product category and at least one of at least two substitutable products is grouped in a product assortment, calculating an average percent pricing change for the product category including at least two substitutable products and a direct effect factor and cross-effect factor for each of at least two substitutable products, and identifying an item of at least two substitutable items to be removed from the product assortment based, at least in part, on a substitutable demand calculated by modeling a price increase of a substitutable item to infinity.

The invention provides a product recommendation method and device, equipment, a storage medium and a program product, which can be applied to the fields of artificial intelligence, big data and financial science and technology. The method comprises the steps of determining respective matching degrees of a user and a plurality of candidate products according to similarity between user portrait data of the user and respective product attribute data of the plurality of candidate products; based on a fitness function, according to respective matching degrees of the user and the plurality of candidate products, respective recommendation degrees of the plurality of candidate products and relationship types among the plurality of candidate products, a recommended product combination used for being recommended to the user is determined from the plurality of candidate products, and the fitness function comprises a matching degree item and a penalty item; the matching degree item is used for processing the matching degree between the user and each candidate product and the recommendation degree of each candidate product, the penalty item is used for processing the relationship type between the candidate products, and the relationship type comprises a dependency relationship or a mutual exclusion relationship.

The invention discloses a multi-type product combined packaging method and system based on visual quality inspection and related equipment. The method comprises the steps that visual quality inspection is conducted on each product; packaging the plurality of products passing the quality inspection one by one; analyzing the uploaded package combination strategy, and determining all target product types and the quantity specification corresponding to each target product type; and according to each target product type and the corresponding quantity specification, calling each packaged product, and packaging each called product to form a commodity. Therefore, a full-link quality inspection packaging system including product quality inspection screening, packaging and commodity obtaining by combining a plurality of products according to requirements can be formed, and the quality stability and production pertinence of the commodities are ensured. Meanwhile, commodities can be customized and constructed according to a package combination strategy, the overall response speed of multi-type product combination package is improved while the defective rate of production is reduced, and the application universality of the method is improved.

1. The name of the design product: blender. 2. The use of the design product: the product is used for cooking food and making drinks. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state 1 perspective view 1. 5. Assembly description: component 1 is a blender base, used for whipping and cooking food materials; components 2, 3 and 4 can be used as water cups alone or in combination with component 1 product to make drinks; combined state 1 is the combined state of component 1 with component 2 and component 1 with component 3; combined state 2 is the combined state of component 1 with component 4.

The utility model relates to the technical field of mixing machines, in particular to a marinated product mixing machine which solves the problems mentioned in the background technology and comprises a cabinet body and a mixing assembly, an opening is formed in the top of the cabinet body, a top plate hinged to the cabinet body is arranged at the position of the opening, and the mixing assembly is installed at the top of the top plate. A first sliding hole is formed in the outer wall, corresponding to the hinged position, of the cabinet body, a fixing cylinder is arranged on one side of the outer wall, a plurality of connecting plates are connected between the fixing cylinder and the outer wall, where the first sliding hole is located, of the cabinet body, a second sliding hole is formed in the side, close to the cabinet body, of the outer wall of the fixing cylinder, a driving assembly is installed in the fixing cylinder, and a lifting structure is installed on the driving assembly. The rotating disc drives the threaded rod to rotate, so that the sliding block slides in the fixing barrel, the sliding rod drives the push rod to upwards push the top plate through the connecting rod and the placing rod, the outlet of the stirring barrel inclines towards one side, marinated products are poured out, operation is convenient and fast, and sanitation is achieved.

Growing revenue and market to meet dynamic demand mix while managing complexity are major challenges to manufacturers. Building a right product mix that effectively manages supply and production cost without losing demand is therefore very imperative for offering to customers. Conventionally available tools and approaches only address particular parts of the whole problem in disconnected fashion, and these take too long to run. Embodiments of the present disclosure provide systems and methods for optimizing product revenue by setting up problems, model revenue drivers, configuring relevant scenarios including decision inputs like relevant data, constraints, or business rules to establish a total target revenue and analyze resulting outputs with iterative improvements towards the target value for product models.

The present invention discloses a product recommendation method based on data pre-screening and the introduction of intermediate variables. Based on the condition that each customer has similar common purchase characteristics for the product combination including the product to be recommended that has been purchased in the past, a customer list is screened in advance as the basis for determining whether the customer to be recommended is the target recommendation customer. The subsequent determination of whether the customer to be recommended is the target recommendation customer is based on the historical purchase data of each customer in the customer list. This greatly reduces the amount of data analysis and is beneficial for improving the analysis speed of product recommendations for a large customer group at the same time in scenarios where complex recommendation analysis and calculation are required to consider the mutual recommendation influence relationship between products. By introducing intermediate variables and constructing the mutual recommendation influence relationship between products, it is possible to accurately screen out target recommendation products that can meet the brand pursuit and consumption capacity of the customer to be recommended from a large number of products to be recommended, thereby greatly improving the accuracy of building material product recommendations.

This application relates to a product delivery method, apparatus, device, and computer-readable medium. The method includes: acquiring first characteristic information of a target object and second characteristic information of a product to be delivered, wherein the first characteristic information represents the target object's historical behavior on a target platform, and the second characteristic information represents the product characteristics of the product to be delivered, including virtual object resources; extracting cross-features and correlation features between the first and second characteristic information, and using the cross-features and correlation features to determine the target object's preference for the product to be delivered; determining a target product combination from the product to be delivered based on the preference results; and displaying a target display card matching the target product combination to the target object. This application solves the technical problem of low matching between recommended products and users by mining the correlation between user characteristics and the characteristics of the product to be delivered.

This invention discloses a multi-dimensional blending method for heating lubricating oil. The method first initializes data such as the viscosity-temperature characteristic curve of the base oil, the dissolution activation energy of additives, and the thermal degradation threshold. Then, it constructs a multi-dimensional coupled model encompassing temperature, rheology, and time dimensions. The main heating unit maintains the base oil's basic flow temperature and performs low-speed pre-blending. During additive injection, an auxiliary heating unit rapidly heats the local fluid at the instantaneous optimal dissolution temperature calculated by the model. Apparent viscosity is calculated based on mixing torque feedback. Shear rate and heating power are dynamically adjusted according to the blending efficiency function. The blending endpoint is determined using a "viscosity-energy consumption" feedback loop, and parameters are optimized through an adaptive learning module. This method achieves efficient dispersion, energy saving, low thermal damage, and improves product mixing uniformity and batch quality stability.

Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language product response.

The invention provides an integration method of a dealer management system, and the method comprises the steps: responding to an inventory obtaining request, and determining a user identity attribute; determining a first remaining inventory corresponding to the user identity in the target time period according to the basic configuration strategy; determining a second remaining inventory of each product based on the product configuration strategy and the target product combination; and determining an acquisition result according to the first and second remaining inventory amounts. The identity attributes comprise user types and levels. The basic configuration strategy comprises elements such as time and identity attributes, and the product configuration strategy comprises elements such as product information. The minimum value of the remaining stock of the two products is taken as the obtaining result, and if any product distribution reaches the upper limit, the stock is zero. The strategy configuration item is stored in an array and comprises a product set and an upper distribution limit. According to the invention, the resource allocation efficiency can be optimized, and excessive allocation or inventory waste can be avoided.

A system is configured to quickly identify relevant solutions from a complex portfolio of products that each may incorporate one or more solutions, and to produce a report identifying such solutions in a format that complies with a company's style guide.

The invention belongs to the technical field of stepped pricing systems, particularly relates to a stepped pricing system based on a dynamic packaging specification, and aims to solve the problems that consumers purchase unnecessary commodities, waste is generated and the cost is high due to the fact that flexible matching and corresponding pricing cannot be carried out according to specific requirements of the consumers in the prior art. In order to solve the problems that in the prior art, the market price is limited, and the sales potential and profit margin of merchants are limited, the invention provides the following scheme that the system comprises a user module and a menu analysis module, and the user module is connected with a menu input module, through precise pricing and personalized services, the market subdivision requirements can be better met, more consumers can be attracted, and the market competitiveness is improved. In addition, the system can quickly respond to market changes and optimize product combination and pricing strategies through intelligent design and data analysis capability, so that the system stands out in fierce market competition, and more business opportunities and profit growth points are brought to merchants.

The utility model discloses LED substrate detection equipment which comprises a first conveying device and a second conveying device, a first bearing device is arranged between the first conveying device and the second conveying device, and a visual detection device is arranged at the position corresponding to the first conveying device. A second bearing device and a paper feeding device are sequentially arranged at the end, away from the second conveying device, of the second conveying device, and a cutting device is arranged between the paper feeding device and the second bearing device. The speed of the first conveying device can be dynamically adjusted so that the substrate can cross the first bearing device to enter the conveying device, and the first bearing device and the second bearing device can be opened and closed so that the substrate can fall down. In addition, the good products and the defective products are distinguished in a dynamic speed regulation mode, a transfer device needs to be arranged between the good products and the defective products, the overall structure of the equipment is greatly simplified, and the manufacturing cost of the equipment is reduced.

1. Name of the product of this design: the main body of the combined device of the infusion set component and the attachment component. 2. Purpose of the product of this design: The overall purpose is for patient infusion, and the local purpose is the main body of the combination device of the infusion set component and the attachment component. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. Other circumstances that require explanation: The dotted lines do not constitute part of the design for which protection is sought. The dotted line indicates the dividing line between the part for which protection is sought and other parts and does not constitute part of the design for which protection is sought. The rear view, left view, right view, top view and bottom view of the product assembly state have been clearly shown in each component product, so the rear view, left view, right view, top view and bottom view are omitted.

The invention discloses an RMP model-based low-altitude economy and agnostic travel fused product combination decision-making method, which comprises the steps of firstly obtaining agnostic travel space, low-altitude economy support and market customer group preference data, performing resource evaluation and airspace feasibility analysis, and determining a development space range, core resources and linkable product resources. Matching the core resource with a product library, screening a preliminary product type, and matching the preliminary product type with market customer group preference data to obtain a core product type of market preference; and finally, carrying out competitiveness and innovativeness evaluation, screening core layer products, matching epitaxial layer and auxiliary layer products, and generating a three-layer structure decision suggestion product scheme. According to the invention, high-efficiency and high-precision text travel product combination decision-making is realized.

The utility model discloses a jig for product combination is pressed down, including fixed template, pressurization template and elastic component, be provided with a plurality of product placement area on fixed template, and elastic component is installed on fixed template and is located product placement area, and product is placed on elastic component, and the side wall of fixed template is equipped with buckle structure, and after pressurization template is assembled on fixed template, buckle structure will pressurization template buckle tightly, and the elastic component on fixed template carries out elastic resistance to product.

A base material charging sequence for packing products 14 discharged from a processing machine 12 to make a plurality of packages is determined.SOLUTION: The arrangement of a product 14 to a base material 10 is determined, the product 14 is distributed so as to form two or more packages, and package data 46 showing which package 17 the product 14 belongs to is generated for each package. When the products 14 arranged in the same base material 10 belong to different packing data 46, the different packing data 46 to which the products 14 belong are classified into the same classification. For each classification, a permutation of the packaging data 46 in the classification is created. The base materials 10 in which the corresponding products 14 in the packing data 46 are collected for each classification are allocated, and the input sequence of the base materials 10 to the working machine 12 is prepared.SELECTED DRAWING: Figure 1