Sales collaboration method, system and device based on cloud computing platform

Abstract

The invention provides a sales collaboration method, system and device based on a cloud computing platform, and relates to the technical field of sales collaboration of the cloud computing platform, and the method comprises the following steps: 1, building a cloud sales platform, carrying out the data collection and integration, enabling the cloud sales platform to be constructed based on the cloud computing technology, collecting the sales data, and carrying out the data collection and integration; cleaning, standardizing and integrating the sales data; and step 2, sharing sales data, supporting multi-channel communication and cooperation, and ensuring sales data by a database system of the cloud sales platform. By establishing the cloud sales platform, unified management and work cooperation of a sales team are realized, and by integrating the sales data and optimizing the business process, unsmooth information communication and repeated labor are avoided, and the sales efficiency is improved. The sales response speed and the transaction rate are improved; the real-time communication and cooperation tool of the cloud sales platform breaks the barrier between departments, enhances the cooperation between a sales team and other departments, and forms a strong sales resultant force.

Description

Technical Field

[0001] The present invention relates to the technical field of sales collaboration in cloud computing platforms, and in particular, to a sales collaboration method, system, and device based on a cloud computing platform. Background Art

[0002] With the intensification of market competition and the diversification of customer needs, enterprise sales teams are facing increasing challenges. The traditional sales model has problems such as poor information communication, scattered data, and low collaboration efficiency, resulting in the sales team's difficulty in responding to customer needs in a timely manner, being unable to make full use of enterprise resources, and thus affecting sales performance and customer satisfaction.

[0003] Currently, due to the lack of communication channels among the internal members of the sales team, the understanding of customer information is inconsistent, and the situation of repeatedly following up customers occurs frequently. The collaboration between the sales department and other departments such as marketing and customer service is not close enough. The market activities and sales strategies are difficult to be effectively coordinated, and customer feedback cannot be conveyed to the sales team in a timely manner, affecting the accuracy and timeliness of sales decisions.

[0004] With the continuous expansion of enterprise business and the rapid increase in data volume, the traditional local storage and computing methods have been difficult to meet the needs of sales data management and analysis. The emergence of cloud computing platforms provides new ideas and methods for solving these problems and can provide strong support for enterprise sales collaboration. Summary of the Invention

[0005] To achieve the above object, the present invention proposes a sales collaboration method, system, and device based on a cloud computing platform, including the following steps:

[0006] Step 1: Establish a cloud sales platform for data collection and integration

[0007] The cloud sales platform is built based on cloud computing technology, collects sales data, and cleans, standardizes, and integrates these sales data;

[0008] Step 2: Share sales data to support multi-channel communication and collaboration

[0009] The database system of the cloud sales platform ensures the synchronization and sharing of sales data among teams; the cloud sales platform provides real-time communication tools to achieve communication and collaboration among the sales team, marketing, customer service, and R & D;

[0010] Step 3: Adopt cloud data analysis tools for customer insight and segmentation

[0011] The cloud sales platform uses big data analysis and machine learning algorithms to deeply mine the integrated data, analyze customers, and locate different types of customer groups;

[0012] Step 4: Develop marketing activities based on the sales plan

[0013] The cloud sales platform predicts future sales situations according to the prediction model, and formulates targeted marketing activity plans based on customer segmentation and sales plans;

[0014] Step 5: Monitor the entire order process, conduct performance evaluation and feedback

[0015] The cloud sales platform establishes an order management system to achieve full-process management of orders. Using the order analysis function of the cloud sales platform, it evaluates the performance of the sales team and salespersons, and gives timely feedback and rewards according to the performance evaluation results.

[0016] In one example, the sales data comes from online e-commerce platforms, offline stores, social media, and customer relationship management systems. The sales data is cleaned, standardized, and integrated to eliminate sales data silos, forming a customer and sales data center. The sales data includes customer information, order status, and inventory data, which are synchronized and shared among teams; The teams can share customer information, sales progress, and problem feedback to jointly solve customer needs and problems in the sales process.

[0017] In one example, the cloud sales platform analyzes customers' behavior patterns, purchase preferences, and consumption capabilities to achieve customer segmentation, providing a basis for personalized marketing and sales collaboration. It deeply analyzes the sales data to provide data support for sales strategies. The cloud sales platform formulates reasonable sales targets, product strategies, and channel strategies according to the prediction results, and decomposes the plans into each sales team and time period; The cloud sales platform can achieve cross-channel execution and management of marketing activities, integrating online and offline marketing resources, including social media marketing, email marketing, and offline promotional activities, to ensure the consistency and collaboration of marketing information and improve marketing effectiveness.

[0018] In one example, the order management system of the cloud sales platform realizes real-time processing, tracking, and monitoring of orders, ensuring the timely processing and delivery of orders, and improving customer satisfaction; Using the cloud sales platform, timely feedback and rewards are given according to the performance evaluation results to motivate the sales team to improve performance, and at the same time provide a basis for the adjustment and optimization of sales strategies.

[0019] A sales collaboration system based on a cloud computing platform, including:

[0020] Cloud sales platform: As the core of the system, it provides a unified work interface and functional modules;

[0021] Data management module: Responsible for data storage, synchronization, and security management;

[0022] Communication and Collaboration Module: Integrates multiple communication tools and supports various communication methods such as text, voice, and video.

[0023] Analysis and Decision-making Module: Utilizes cloud data analysis technology to provide data support for sales decisions.

[0024] In one example, the cloud sales platform supports mobile access, allowing sales personnel to access the system anytime and anywhere through smartphones or tablets, thereby improving work efficiency.

[0025] In one example, the data management module adopts distributed storage technology to ensure high availability and disaster tolerance of data.

[0026] In one example, the analysis and decision-making module can generate various visual reports and dashboards, making sales data more intuitive and understandable, and facilitating team members to understand and use.

[0027] A sales collaboration device based on a cloud computing platform, comprising:

[0028] Processor: Responsible for executing various functions of the system;

[0029] Memory: Stores programs and data required for system operation;

[0030] Input / Output Device: Used for user interaction with the system;

[0031] Network Interface: Realizes connection with the cloud computing platform to ensure smooth data transmission.

[0032] The sales collaboration method, system, and device based on the cloud computing platform proposed by the present invention can bring the following beneficial effects:

[0033] 1. By establishing a cloud sales platform, the present invention realizes unified management and work collaboration of the sales team. By integrating sales data and optimizing business processes, it avoids poor information communication and duplicate labor, improves the sales response speed and conversion rate; the real-time communication and collaboration tools of the cloud sales platform break down the barriers between departments, strengthen the collaborative cooperation between the sales team and other departments, and form a strong sales force.

[0034] 2. Through sales forecasting and plan formulation on the cloud sales platform, enterprises can allocate resources more reasonably, avoid resource waste, improve resource utilization efficiency, and reduce sales costs; the cloud sales platform's customer insight and segmentation provide personalized sales services and marketing activities for customers, better meet customer needs, enhance the customer experience, and thus increase customer satisfaction.

[0035] 3. Through the synchronization and sharing of sales data, the present invention ensures the timeliness and accuracy of information, improves decision-making efficiency. The data analysis and visualization functions provided by the cloud sales platform offer comprehensive and accurate sales information and decision-making support for the enterprise management layer, making decision-making more scientific and reasonable. The data analysis tools of the cloud sales platform provide strong data support for the enterprise, facilitating the optimization of sales strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0037] Figure 1 It is a schematic flowchart of a sales collaboration method based on a cloud computing platform of the present invention.

[0038] Figure 2 It is a schematic architecture diagram of a sales collaboration system based on a cloud computing platform of the present invention.

[0039] Figure 3 It is a schematic structural diagram of a sales collaboration device based on a cloud computing platform of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] In order to more clearly and completely illustrate the technical solution of the present invention, the present invention will be further described below with reference to the drawings.

[0041] Please refer to Figures 1-3 , the present invention proposes a sales collaboration method, system and device based on a cloud computing platform. In the sales collaboration method based on a cloud computing platform, a cloud sales platform is constructed using cloud computing technology, and sales data is collected from multiple data sources such as online e-commerce platforms, offline stores, social media, and customer relationship management systems. Purchase records and browsing behavior data of customers are obtained from the online e-commerce platform, in-store information, types and amounts of purchased goods data of customers are collected from offline stores; evaluation and sharing data of customers on products are collected from social media; basic information and historical communication record data of customers are obtained from the customer relationship management system.

[0042] The collected sales data is cleaned to remove duplicate, incorrect and incomplete data. Duplicate customer information records are identified and deleted through a data duplication check algorithm, and the data is standardized. Data with the same meaning in different data sources is unified in format. The customer gender fields recorded on different platforms are unified into the formats of "male" and "female", and then integrated. The cleaned and standardized data is integrated together to eliminate sales data silos and form a customer and sales data center, which contains customer information, order status, inventory data and various sales data.

[0043] The database system of the cloud sales platform adopts data synchronization technology to ensure the real-time synchronization and sharing of sales data among teams. Team members can view the latest customer information and sales progress data at any time through the interface of the cloud sales platform. Sales team members can see the product promotion information updated by the marketing team, and the customer service team can obtain the latest order status of customers in a timely manner to better serve customers.

[0044] The cloud sales platform integrates real-time communication tools such as instant messaging software, voice call functions, and video conferencing functions. The sales team can communicate and collaborate with the marketing, customer service, and R & D teams through these tools. When the sales team encounters special product function requirements from customers, they can communicate with the R & D team through video conferencing. The R & D team promptly feedbacks the possibility and time nodes of product improvement, and the marketing team can adjust the product promotion strategy based on the feedback from the R & D team.

[0045] The cloud sales platform uses big data analysis and machine learning algorithms to deeply mine the integrated data. By analyzing customers' behavior patterns, purchase frequencies, purchase time intervals, purchase preferences (the types of products and brands that customers like to buy), and consumption capabilities (customers' average consumption amount and consumption level), customer segmentation is achieved. These customer segmentation results provide a basis for personalized marketing and sales collaboration. At the same time, in-depth analysis of sales data, such as analyzing the sales trends of different products and the sales contributions of different channels, provides data support for sales strategies.

[0046] The cloud sales platform predicts future sales situations according to the prediction model, using historical sales data and market trend factors. It predicts the sales volume of various products in the next quarter through time series analysis algorithms, and formulates targeted marketing activity plans based on customer segmentation and sales plans.

[0047] Formulate reasonable sales targets, set sales amount targets for different sales teams in different time periods, formulate product strategies, decide to launch new products or optimize existing products according to customer needs and sales forecasts, formulate channel strategies, determine the sales focuses and resource allocations of different channels, break down the plan into each sales team and time period, break down the annual sales plan into each month, and allocate it to the sales teams in each region.

[0048] The cloud sales platform can achieve cross-channel execution and management of marketing activities, integrate online and offline marketing resources. While promoting products on social media, it coordinates with offline promotional activities to ensure the consistency and synergy of marketing information, improve marketing effects, and promote the preferential activities of the same product online and offline, using the same promotional language and pictures.

[0049] The cloud sales platform establishes an order management system to achieve real-time processing, tracking, and monitoring of orders. Starting from when a customer places an order, the system records all the states of the order, including order submitted, paid, shipped, and signed for, ensuring the timely processing and delivery of orders and improving customer satisfaction. When there is a delay in shipping an order, the system automatically alerts the relevant personnel for handling.

[0050] Utilize the order analysis function of the cloud sales platform to evaluate the performance of the sales team and salespersons. The evaluation metrics can include sales amount, order volume, and customer satisfaction. Based on the performance evaluation results, provide timely feedback and rewards. Give a bonus to the sales team with a high sales completion rate and publicly praise the salespersons with high customer satisfaction to motivate the sales team to improve performance and at the same time provide a basis for the adjustment and optimization of sales strategies.

[0051] As the core of the system, the cloud sales platform provides a unified working interface, which is simple and intuitive, facilitating user operation. After the members of the sales team log in, they can see their sales tasks and important information of pending orders on the home page. The platform also includes multiple functional modules, such as a data management module, a communication and collaboration module, and an analysis and decision-making module.

[0052] The cloud sales platform supports mobile access. By developing a dedicated mobile application, salespersons can access the system anytime and anywhere through smartphones or tablets. When visiting customers outside, salespersons can view customer information and submit orders through their mobile phones, improving work efficiency.

[0053] Responsible for data storage, synchronization, and security management. Adopt distributed storage technology to disperse data storage across multiple server nodes, ensuring high data availability and disaster tolerance capabilities. When a server node fails, data can be obtained from other nodes without affecting the normal operation of the system.

[0054] Data synchronization technology ensures real-time synchronization of data between different nodes and users, guaranteeing data consistency. In terms of data security management, use encryption technology to encrypt and store sensitive data, and set up strict user permission management so that only authorized users can access specific data.

[0055] Integrate multiple communication tools, supporting various communication methods such as text, voice, and video. Integrate instant messaging software to facilitate text communication between team members; integrate voice call functions so that when it is necessary to quickly communicate complex issues, a direct call can be made; integrate video conferencing functions for cross-regional team meetings or remote communication with customers. These communication tools are deeply integrated with other functional modules of the cloud sales platform, and when viewing customer information, it is possible to directly communicate with the team members responsible for that customer through the communication tools.

[0056] By using cloud data analysis technology to deeply analyze sales data, various visual reports and dashboards can be generated. For example, bar charts can show the sales comparison of different products, and line charts can display the changing trend of sales performance over time, making the sales data more intuitive and easy to understand, facilitating team members to understand and use. Sales managers can quickly understand the overall sales situation of the team through the dashboard, discover problems in the sales process, and make decisions in a timely manner. This module can also provide decision-making suggestions based on the data analysis results, such as suggesting different sales strategies for different customer groups according to the customer segmentation results.

[0057] A high-performance processor is used to execute various functions of the system. In terms of data processing, the processor executes algorithms for data cleaning, standardization, and integration. When running the algorithms of the analysis and decision-making module, it deeply analyzes and predicts sales data. The processor has multitasking capabilities and can handle multiple tasks in the system simultaneously to ensure the efficient operation of the system. While processing orders, it can also respond to the salesperson's query requests for customer information.

[0058] The memory is used to store the programs and data required for the system to run, including the operating system, application programs of the cloud sales platform, sales data, and user information. A large-capacity memory is adopted to meet the system's data storage requirements, storing a large amount of historical sales data for data analysis and prediction. The memory has high-speed read and write performance to ensure that the system can quickly read and store data, improving the system's response speed. When the salesperson submits an order, it can quickly store the order data in the memory.

[0059] The input devices include a keyboard, a mouse, and a touch screen, which are used for the user to interact with the system. The salesperson inputs customer information and order content through the keyboard and clicks on various function buttons of the cloud sales platform through the mouse.

[0060] The output devices include a monitor and a printer, which are used to display the running results of the system to the user. The monitor displays customer information and sales reports, and the printer can print important sales documents.

[0061] The network interface adopts a high-speed network interface to achieve connection with the cloud computing platform and ensure smooth data transmission. A gigabit Ethernet interface is used to ensure that a large amount of sales data can be quickly uploaded to the cloud computing platform, and at the same time, it can obtain the latest sales strategies and customer information data from the cloud computing platform in a timely manner. The network interface has stability and reliability and adopts redundant design technology. When the network fails, it can automatically switch to the backup network without affecting the communication between the system and the cloud computing platform.

[0062] Of course, the present invention may have many other embodiments. Based on this embodiment, other embodiments obtained by those of ordinary skill in the art without any creative work fall within the scope of protection of the present invention.

Claims

1. A sales collaboration method based on a cloud computing platform, characterized in that, It includes the following steps: Step 1: Establish a cloud sales platform for data collection and integration The cloud sales platform is built based on cloud computing technology, collects sales data, and cleans, standardizes, and integrates this sales data; Step 2: Share sales data to support multi-channel communication and collaboration The database system of the cloud sales platform ensures the synchronization and sharing of sales data among teams; the cloud sales platform provides real-time communication tools to enable communication and collaboration between the sales team and marketing, customer service, and R & D; Step 3: Adopt cloud data analysis tools for customer insight and segmentation The cloud sales platform uses big data analysis and machine learning algorithms to deeply mine the integrated data, analyze customers, and locate different types of customer groups; Step 4: Develop marketing activities according to the sales plan The cloud sales platform predicts future sales situations according to the prediction model, and formulates targeted marketing activity plans based on customer segmentation and the sales plan; Step 5: Monitor the entire order process for performance evaluation and feedback The cloud sales platform establishes an order management system to achieve the full-process management of orders, uses the order analysis function of the cloud sales platform to evaluate the performance of the sales team and sales personnel, and gives timely feedback and rewards according to the performance evaluation results.

2. The sales collaboration method based on a cloud computing platform according to claim 1, characterized in that The sales data comes from online e-commerce platforms, offline stores, social media, and customer relationship management systems. The sales data is cleaned, standardized, and integrated to eliminate sales data silos and form a customer and sales data center. The sales data includes customer information, order status, and inventory data, which is synchronized and shared among teams. The teams can share customer information, sales progress, and problem feedback to jointly solve customer needs and problems in the sales process.

3. A sales collaboration method based on a cloud computing platform according to claim 1, characterized in that, The cloud sales platform analyzes customers' behavior patterns, purchase preferences, and consumption capabilities to achieve customer segmentation, provides a basis for personalized marketing and sales collaboration, deeply analyzes sales data to provide data support for sales strategies. The cloud sales platform formulates reasonable sales targets, product strategies, and channel strategies according to the prediction results, and decomposes the plans into each sales team and time period. The cloud sales platform can implement and manage marketing activities across channels, integrate online and offline marketing resources, including social media marketing, email marketing, and offline promotional activities, to ensure the consistency and collaboration of marketing information and improve marketing effectiveness.

4. A sales collaboration method based on a cloud computing platform according to claim 1, characterized in that, The order management system of the cloud sales platform realizes the real-time processing, tracking, and monitoring of orders, ensures the timely processing and delivery of orders, improves customer satisfaction. Using the cloud sales platform, timely feedback and rewards are given according to the performance evaluation results to motivate the sales team to improve performance, and at the same time provide a basis for the adjustment and optimization of sales strategies.

5. A sales collaboration system based on a cloud computing platform, characterized in that, It includes: Cloud sales platform: As the core of the system, it provides a unified working interface and function modules; Data management module: Responsible for data storage, synchronization, and security management; Communication and collaboration module: Integrates various communication tools and supports multiple communication methods such as text, voice, and video; Analysis and decision-making module: Uses cloud data analysis technology to provide data support for sales decisions.

6. The sales collaboration system based on a cloud computing platform according to claim 5, wherein The cloud sales platform supports mobile access, allowing sales personnel to connect to the system anytime and anywhere via smartphones or tablets, thereby improving work efficiency.

7. The sales collaboration system based on a cloud computing platform according to claim 5, characterized in that, The data management module adopts distributed storage technology to ensure high availability and disaster tolerance of data.

8. The sales collaboration system based on a cloud computing platform according to claim 5, characterized in that, The analysis and decision-making module can generate various visual reports and dashboards, making sales data more intuitive and understandable for team members to comprehend and utilize.

9. A sales collaboration device based on a cloud computing platform, characterized in that, It includes: A processor responsible for executing various functions of the system; A memory for storing programs and data required for the system to run; Input / output devices for user interaction with the system; A network interface to achieve connection with the cloud computing platform and ensure smooth data transmission.

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