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Huge customer data assets, resulting in data structure confusion
We have accumulated rich customer assets, including C-end consumer users from member centers, online official websites, JD.com, Taobao, offline stores. We can achieve unique customer identification through algorithms, completing the matching of people, devices, and labels.
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Low customer sales conversion rate
For consumer customers, we can try to use AI algorithms to achieve intelligent product recommendations; For corporate customers, we can try to identify key decision-makers and improve the efficiency of lead conversion.
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Low customer activity
We can try to explore customer value through data mining, cluster different models for customers at different stages, and provide business with refined operational customer classification to maximize customer value.
Customer MDM&CEP
Industry Pain Point
Lenovo's business departments are also facing many pain points in application scenarios
Solutions
The Lenovo customer intelligent operation solution integrates AI technology into operations, supporting diversified membership benefits, automated marketing, personalized recommendations.
Scene 1:
AI Build User Profile
Support automatic generation of user tags through user attributes, user behavior, and user preference information, as well as AI prediction tags generated through algorithm modeling.
Scene 2:
Full Customer Journey+Full Touch AI Intelligent Marketing
Support the use of AI technology to extract marketing SMS copy labels, automatically classify content.Automatically identify the user's status throughout the entire customer journey and output corresponding strategies.
Scene 3:
AI Empowers Customer Operation
Multi scenario insights and data analysis based on user behavior and tag. Empowering to attract new users, convert active users, promote activity through silent users, and optimize product iteration through various operational tools.