Intelligent Segmentation

Intelligent Segmentation is an AI-powered Segmentation tool. The tool understands natural language to intelligently select target segments and simultaneously provides a segmentation analysis report to help users assess whether the results meet expectations. Specific features include:

• Automatic Segment Selection: Based on your natural language Description, AI leverages user Label, Behavior, and other profile data to automatically generate segment selection criteria.
• Modify Segment Criteria: You can adjust the AI-generated segment selection criteria according to your actual needs, and save the modified criteria as Segmentation.
• Display Segmentation Reason: AI provides explanations for the segmentation based on the criteria. You can analyze the correlation with the original criteria to further understand the segmentation results and specific limitations.

Intelligent Matching

Smart Matching is a precision marketing tool based on AI large model capabilities. Based on your preset marketing materials, target audience, access methods, and content templates, AI will intelligently recommend personalized marketing solutions for each user within the target range. Specific features include:

• Task Setup: Set up materials, Segmentation, Access Channels, and content templates available to AI large models in the form of tasks.
• Task Report: AI large models configure differentiated materials for different users, providing confidence scores and matching reasons; match user discount benefits according to preset requirements and generate marketing copy.
• One-Click Reach: After matching tasks and confirming that the task report meets business marketing expectations, you can use one-click reach to push the marketing copy to specified users.

Interactive Recommendation

Interactive Recommendation is a search and recommendation tool based on AI large model capabilities, enabling generative, all-scenario product recommendation functionality. Specific features include:

• Product Library: The foundational data base for Interactive Recommendation, responsible for full lifecycle management of products. Supports product list viewing, quick search, detail viewing, create new, and data field configuration. AI large models can generate AI feature fields, providing standardized, high-value data support for precision recommendations.
• Application: Enables Interactive Recommendation application full-process management across the entire flow of 'Build - Configure - Test - Launch'. Supports creation of independent recommendation applications, configuration of recall rules integrating precise filtering and semantic search, completion of effect and performance testing, and output capabilities via standardized APIs, adapting to common recommendation scenarios such as search boxes and topic pages.