Case by case

Combining SCRM and affiliate marketing, based on big data analysis, it provides different products, services and marketing methods for different consumers.

  • The combination of product and consumer life cycle management provides powerful data analysis capabilities, flexible, efficient and configurable integrated solutions;

  • Combined with SCRM and affiliate marketing, establish a consumer life cycle management system for introduction, growth, maturity, decline and loss;

  • For different channels, different groups of people, different times and other conditions, based on marketing rules, automatically generate and deploy different marketing strategies.

Intelligent decision-making

Through artificial intelligence, data analysis and other technical means, assist brands to complete key business decisions in production, sales, operation and other links;

  • Based on the data precipitation in the whole life cycle of products and consumers, clean and organize the data, and integrate the customer portraits such as seed customers, value groups, and potential customer groups, and improve the pertinence of marketing based on this;

  • Combined with the information collection of key nodes such as "production management - warehousing and delivery - channel circulation - terminal retail - marketing promotion", the linkage analysis of product freshness, channel turnover rate, dynamic sales, activity effectiveness and product life cycle , providing real data support for the market to formulate marketing strategies and new product development.

Data visualization

Combined with full-link data, through graphical means, such as reports, Kanban and other forms, information can be clearly and effectively conveyed, and cross-screen browsing can be achieved, improving data readability, and facilitating decision-making by enterprises.

  • The visual display content supports a high degree of customization to meet different business types and visual needs;

  • Real-time presentation of various business data; grasp market dynamics;

  • Statistical analysis and modeling of data to provide a basis for decision-making;

  • Risk control and early warning system to ensure safety, stability and order;

  • Realize data perspective, forecast data, and provide digital support for business guidance

Intelligent early warning

Carry out early warning analysis for counterfeit or suspected smuggled goods, etc., and conduct real-time data monitoring and risk early warning management and control through a real-time monitoring mechanism.

  • The normal distribution chart helps the product to track the details of the cycle according to the brand and batch of changes in each link of the product in different time periods of the life cycle;

  • Based on the anti-counterfeiting data scan code records, combined with the time period, scan code area, user records (WeChat) and other dimensions to analyze;

  • Combining the query data with the internal audit data of the enterprise, timely discover the source of the smuggling goods, and accurately implement the smuggling goods management.

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