New energy automobile sales service analysis system

Abstract

The invention discloses a new energy automobile sales service analysis system, and belongs to the technical field of automobile sales technology, and the system comprises a data collection module which is used for collecting and integrating sales data; the analysis module is used for processing and analyzing the integrated sales data; the data display module is used for displaying a result processed and analyzed by the analysis module; a sales analysis module; the analysis module analyzes sales data; the after-sales processing module is used for processing the after-sales data and processing and summarizing the after-sales data; according to the system, the service efficiency of sales to customers can be effectively improved, a sales plan and sales adjustment can be carried out according to the requirements of the customers, and the sales efficiency and the transaction rate can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile sales, and specifically relates to a new energy vehicle sales service analysis system. Background Art

[0002] In today's highly competitive automobile market environment, there are numerous automobile brands, and the phenomenon of product homogenization is relatively serious. Consumers have an increasingly rich choice and put forward higher requirements for aspects such as the performance, configuration, price, and after-sales service of automobiles. At the same time, with the popularization of the Internet, the channels for consumers to obtain information are more diversified, and they often conduct a large amount of information collection and comparison before purchasing a car; this has imposed huge market competition pressure on automobile sales enterprises.

[0003] The traditional automobile sales model mainly relies on offline 4S stores. The sales process is cumbersome, and it often takes a long time from customer consultation, car viewing, test driving to final transaction. Moreover, the communication method between salespersons and customers is relatively single, making it difficult to comprehensively understand the needs and preferences of customers, resulting in low sales efficiency, low customer satisfaction, and the need to further improve sales efficiency and actual transaction rate. Summary of the Invention

[0004] Problems to be Solved

[0005] In view of the problems raised in the existing background art, the present invention provides a new energy vehicle sales service analysis system.

[0006] Technical Solution

[0007] To solve the above problems, the present invention adopts the following technical solutions.

[0008] A new energy vehicle sales service analysis system, comprising:

[0009] A data acquisition module: used for collecting and integrating sales data;

[0010] An analysis module: used for processing and analyzing the integrated sales data;

[0011] A data display module: used for displaying the results processed and analyzed by the analysis module;

[0012] A sales analysis module; used for analyzing sales data;

[0013] An after-sales processing module: used for processing after-sales data and processing and summarizing the after-sales data.

[0014] Preferably, the data acquisition module includes a data integration module, a data storage module, and a data processing module

[0015] The data integration module includes an internal data integration module and an external data integration module;

[0016] The data processing module includes a data cleaning and transformation module and a data mining module.

[0017] Furthermore, when the data integration module performs data integration, the specific steps include:

[0018] Use the internal data integration module to deeply extract the internal data in the sales management system, customer relationship management system, and after-sales service system, and integrate the extracted internal data;

[0019] Use the external data integration module to collect market research reports, the latest industry trends, and relevant data of competitors;

[0020] Inductively integrate the data integrated by the internal data integration module and the data integrated by the external data integration module, and transmit the total inductive data to the analysis module.

[0021] Preferably, when the data processing module performs data processing, the specific steps include:

[0022] Use the data cleaning and transformation module to clean the received total inductive data and remove duplicates after cleaning;

[0023] Then use the data cleaning and transformation module to perform secondary processing on the deduplicated data to convert it into data in the same format;

[0024] Use the machine learning algorithm in the data mining module to deeply mine the transformed data.

[0025] Even further, the sales analysis module includes a customer analysis module, a sales data analysis module, and a market analysis module.

[0026] Even further, when the customer analysis module analyzes customers, the specific content includes:

[0027] Construct a customer portrait: Integrate multi-dimensional data such as the basic information, purchase behavior, and preferences of customers to construct a customer portrait. Through the customer portrait, the sales team can deeply understand the needs, consumption habits, and purchase motivations of customers;

[0028] Segment customers and customize individually: According to customer characteristics and behaviors, divide customers into different segmented groups, and formulate personalized marketing strategies for the characteristics of each segmented group;

[0029] Customer life cycle management: Conduct a comprehensive analysis of the entire life cycle of customers from initial contact to purchase and then to after-sales, and identify the key nodes in the customer life cycle.

[0030] Furthermore, when the sales data analysis module analyzes the sales situation, the specific contents include:

[0031] Real-time analysis of sales performance: real-time monitoring of sales data, including key indicators of sales volume, sales volume, and sales profit, comparing the performance of different time periods, different sales regions, and different sales personnel, and timely discovering highlights and problems in sales work;

[0032] Sales funnel analysis: In-depth analysis of the conversion process of sales opportunities from potential customers to successful customers, and display the conversion rate and churn rate of each stage through the sales funnel model;

[0033] Inventory analysis: real-time monitoring of vehicle inventory levels, analysis of inventory turnover, inventory costs and other indicators.

[0034] Furthermore, when the market analysis module analyzes the market situation, the specific contents include:

[0035] Market trend tracking and analysis: Track the overall trend of the automobile market, including sales volume changes, price trends, and new technology applications. Conduct in-depth analysis of market trends, predict market changes in advance, and adjust product and sales strategies in a timely manner;

[0036] Competitor analysis: Collect competitor product information, pricing strategies, market share and other data, and conduct in-depth analysis to understand competitors’ strengths and weaknesses and identify competitive differentiation points between you and your competitors;

[0037] Marketing campaign effectiveness evaluation: Conduct a comprehensive evaluation of the effectiveness of the marketing activities held, and understand the actual results of the marketing activities by analyzing indicators such as activity participation, conversion rate, and customer feedback.

[0038] Furthermore, the formula of the machine learning algorithm used in the data mining module is:

[0039]

[0040] Beneficial Effects

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] (1) The present invention can effectively improve the service efficiency of sales to customers through the system, and can make sales plans and sales adjustments according to the customer's own needs, so as to improve sales efficiency and transaction rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] To more clearly illustrate the technical solutions in the embodiments or examples of the present application, the following will briefly introduce the accompanying drawings required for use in the embodiments or examples. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained according to these shown drawings.

[0044] Figure 1 This is the system flowchart of the present invention. Detailed implementation manners

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, rather than all, of the embodiments of the present application. Usually, the components of the embodiments of the present application described and shown in the accompanying drawings here can be arranged and designed in various different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0047] Embodiment 1

[0048] As Figure 1 shown, a new energy vehicle sales service analysis system includes:

[0049] A data acquisition module: used to collect and integrate sales data;

[0050] An analysis module: used to process and analyze the integrated sales data;

[0051] A data display module: used to display the results processed and analyzed by the analysis module;

[0052] A sales analysis module; used to analyze sales data;

[0053] An after-sales processing module: used to process after-sales data and summarize the processed after-sales data.

[0054] The data acquisition module includes a data integration module, a data storage module, and a data processing module

[0055] The data integration module includes an internal data integration module and an external data integration module;

[0056] The data processing module includes a data cleaning and conversion module and a data mining module.

[0057] When the data integration module performs data integration, the specific steps include:

[0058] Use the internal data integration module to deeply extract the internal data in the sales management system, customer relationship management system, and after-sales service system, and integrate the extracted internal data;

[0059] Use the external data integration module to collect market research reports, the latest industry trends, and relevant data of competitors;

[0060] Inductively integrate the data integrated by the internal data integration module and the data integrated by the external data integration module, and transmit the inductively integrated total data to the analysis module.

[0061] When the data processing module performs data processing, the specific steps include:

[0062] Use the data cleaning and transformation module to clean the received inductively integrated total data and remove duplicates after cleaning;

[0063] Then use the data cleaning and transformation module to perform secondary processing on the deduplicated data to convert it into data in the same format;

[0064] Use the machine learning algorithm in the data mining module to deeply mine the transformed data.

[0065] The sales analysis module includes a customer analysis module, a sales data analysis module, and a market analysis module.

[0066] When the customer analysis module analyzes customers, the specific content includes:

[0067] Build a customer portrait: Integrate multi-dimensional data such as the basic information, purchase behavior, and preferences of customers to build a customer portrait. Through the customer portrait, the sales team can deeply understand the needs, consumption habits, and purchase motivations of customers;

[0068] By integrating the basic information of customers to build a portrait, the sales team can accurately grasp the needs of customers. For example, after learning about a customer's preference for a certain specific brand and model, relevant promotional activities and new product information can be targeted for promotion, improving the hit rate of marketing activities, reducing marketing costs, and enhancing marketing effects.

[0069] Deeply understand the consumption habits and purchase motivations of customers, enabling the sales team to provide more considerate and personalized services during the communication and service process with customers. For example, introduce the safety configurations and technologies of vehicles in detail to customers who pay attention to vehicle safety, meet the needs of customers, thereby improving customer satisfaction with sales services and enhancing customer loyalty.

[0070] Based on customer portraits, the sales team can recommend car products and configurations that better suit customers' needs. This not only increases the likelihood of customer purchases, but also allows customers to feel professional and attentive during the car-buying process, thereby improving sales efficiency and transaction rates.

[0071] Customer segmentation and personalization: Divide customers into different segments based on their characteristics and behaviors, and develop personalized marketing strategies based on the characteristics of each segment;

[0072] Customer lifecycle management: Conduct a comprehensive analysis of the entire customer lifecycle from first contact to purchase and then to after-sales, and identify key nodes in the customer lifecycle.

[0073] When the sales data analysis module analyzes sales conditions, the specific contents include:

[0074] Real-time analysis of sales performance: real-time monitoring of sales data, including key indicators of sales volume, sales volume, and sales profit, comparing the performance of different time periods, different sales regions, and different sales personnel, and timely discovering highlights and problems in sales work;

[0075] Real-time monitoring of key indicators such as sales volume, sales profit, and multi-dimensional comparative analysis can promptly identify highlights and problems in sales work. For example, if sales in a certain sales area are growing rapidly during a specific period of time, the experience can be summarized and promoted; for areas or sales personnel with poor sales performance, the reasons can be deeply analyzed and sales strategies can be adjusted in a timely manner.

[0076] Sales funnel analysis: In-depth analysis of the conversion process of sales opportunities from potential customers to successful customers, and display the conversion rate and churn rate of each stage through the sales funnel model;

[0077] Inventory analysis: real-time monitoring of vehicle inventory levels, analysis of inventory turnover, inventory costs and other indicators.

[0078] Real-time monitoring of vehicle inventory levels and analysis of indicators such as inventory turnover and inventory costs can help companies reasonably control inventory quantities, avoid capital occupation and increased storage costs caused by inventory backlogs, and prevent out-of-stock situations, ensuring smooth sales operations.

[0079] According to the results of inventory indicator analysis, enterprises can reasonably adjust vehicle purchasing plans and inventory layout; for example, for models with high inventory turnover rates, appropriately increase the purchase volume; for models with inventory backlogs, take promotional measures to speed up sales and achieve optimal allocation of resources.

[0080] When the market analysis module analyzes the market situation, the specific contents include:

[0081] Market Trend Tracking and Analysis: Track the overall trends in the automotive market, including sales volume changes, price trends, and new technology applications. Conduct in-depth analysis of market trends to anticipate market changes in advance and adjust product strategies and sales strategies in a timely manner;

[0082] Track the overall trends in the automotive market, such as sales volume changes, price trends, and new technology applications. After in-depth analysis, anticipate market changes in advance. Enterprises can adjust product strategies in advance according to these trends, such as launching new models that meet market demands and optimizing the configurations of existing models; at the same time, adjust sales strategies, such as formulating different pricing strategies and promotional activities, to adapt to market changes and maintain a competitive edge; keeping abreast of the trends in new technology applications in the industry helps enterprises introduce relevant technologies in the product R & D and sales processes to enhance product competitiveness.

[0083] Competitor Analysis: Collect data on competitors' product information, pricing strategies, market shares, etc., and conduct in-depth analysis to understand the strengths and weaknesses of competitors and identify the differential competition points between oneself and competitors;

[0084] Collect and analyze data on competitors' product information, pricing strategies, market shares, etc., to understand the strengths and weaknesses of competitors. Enterprises can thereby identify the differential competition points between themselves and competitors and formulate more targeted competitive strategies.

[0085] In the actual operation process, if a competitor has an advantage in the price of a certain model, the enterprise can attract customers by enhancing product added value, optimizing after-sales service, etc.

[0086] Marketing Campaign Effect Evaluation: Conduct a comprehensive evaluation of the effects of the held marketing campaigns. By analyzing indicators such as campaign participation, conversion rate, and customer feedback, understand the actual effects of the marketing campaigns.

[0087] Comprehensively evaluate the effects of marketing campaigns. By analyzing indicators such as campaign participation, conversion rate, and customer feedback, understand the actual effects of the marketing campaigns. Based on the evaluation results, enterprises can summarize experiences and lessons, optimize the planning and execution of subsequent marketing campaigns, improve the quality and effects of marketing campaigns, and enhance the input-output ratio.

[0088] In the actual operation process, according to the marketing campaign evaluation results, enterprises can reasonably allocate marketing resources. Increase investment in the forms and channels of marketing campaigns with good effects; make adjustments or abandon those with poor effects to achieve the optimal allocation of marketing resources.

[0089] The formula for the machine learning algorithm used in the data mining module is:

[0090]

[0091] Through this system, the service efficiency of sales for customers can be effectively improved, and sales plans and sales adjustments can be made according to the customers' own needs, which is convenient for improving sales efficiency and closing rates.

[0092] The above-described embodiments only represent the preferred embodiments of the present invention, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications, improvements, and substitutions can be made, and these all fall within the protection scope of the present invention.

Claims

1. A new energy vehicle sales service analysis system, characterized in that: include: Data collection module: used to collect and integrate sales data; Analysis module: used to process, analyze and integrate sales data; Data display module: used to display the results of analysis processed by the analysis module; Sales analysis module; To analyze sales data; After-sales processing module: used to process and summarize after-sales data.

2. A new energy vehicle sales service analysis system according to claim 1, characterized in that: The data acquisition module includes a data integration module, a data storage module and a data processing module The data integration module includes an internal data integration module and an external data integration module; The data processing module includes a data cleaning and conversion module and a data mining module.

3. A new energy vehicle sales service analysis system according to claim 2, characterized in that: When the data integration module performs data integration, the specific steps include: Use the internal data integration module to deeply extract the internal data from the sales management system, customer relationship management system and after-sales service system, and integrate the extracted internal data; Use external data integration modules to collect market research reports, industry updates, and competitor data; The data integrated by the internal data integration module and the data integrated by the external data integration module are summarized and integrated, and the summarized total data is transmitted to the analysis module.

4. A new energy vehicle sales service analysis system according to claim 2, characterized in that: When the data processing module performs data processing, the specific steps include: Use the data cleaning conversion module to clean the received summarized data and remove duplicates after cleaning; Then use the data cleaning and conversion module to perform secondary processing on the deduplicated data and convert it into data of the same format; Use machine learning algorithms in the data mining module to perform in-depth mining on the transformed data.

5. The new energy vehicle sales service analysis system according to claim 1, characterized in that: The sales analysis module includes a customer analysis module, a sales data analysis module, and a market analysis module.

6. A new energy vehicle sales service analysis system according to claim 5, characterized in that: When the customer analysis module analyzes the customer, the specific contents include: Build customer portraits: Integrate multi-dimensional data such as basic customer information, purchasing behavior, preferences, etc. to build customer portraits. Through customer portraits, the sales team can gain a deeper understanding of customer needs, consumption habits, and purchasing motivations; Customer segmentation and personalization: Divide customers into different segments based on their characteristics and behaviors, and develop personalized marketing strategies based on the characteristics of each segment; Customer lifecycle management: Conduct a comprehensive analysis of the entire customer lifecycle from first contact to purchase and then to after-sales, and identify key nodes in the customer lifecycle.

7. A new energy vehicle sales service analysis system according to claim 5, characterized in that: When the sales data analysis module analyzes the sales situation, the specific contents include: Real-time analysis of sales performance: real-time monitoring of sales data, including key indicators of sales volume, sales volume, and sales profit, comparing the performance of different time periods, different sales regions, and different sales personnel, and timely discovering highlights and problems in sales work; Sales funnel analysis: In-depth analysis of the conversion process of sales opportunities from potential customers to successful customers, and display the conversion rate and churn rate of each stage through the sales funnel model; Inventory analysis: real-time monitoring of vehicle inventory levels, analysis of inventory turnover, inventory costs and other indicators.

8. A new energy vehicle sales service analysis system according to claim 5, characterized in that: When the market analysis module analyzes the market situation, the specific contents include: Market trend tracking and analysis: Track the overall trend of the automobile market, including sales volume changes, price trends, and new technology applications. Conduct in-depth analysis of market trends, predict market changes in advance, and adjust product and sales strategies in a timely manner; Competitor analysis: Collect competitor product information, pricing strategies, market share and other data, and conduct in-depth analysis to understand competitors’ strengths and weaknesses and identify competitive differentiation points between you and your competitors; Marketing campaign effectiveness evaluation: Conduct a comprehensive evaluation of the effectiveness of the marketing activities held, and understand the actual results of the marketing activities by analyzing indicators such as activity participation, conversion rate, and customer feedback.

9. A new energy vehicle sales service analysis system according to claim 4, characterized in that: The formula of the machine learning algorithm used in the data mining module is:

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