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Scenario Cases

Scenario 1: Natural Language Q&A for Data​

Typical Application: Fast Q&A for complex business data

Customer Case: Sales Data Query for a Consumer Goods Company

The management of this company often needs to view sales performance by region and product. Previously, they relied on data analysts to manually generate reports, which was inefficient and slow to respond.

After introducing the AI data Q&A Agent, users can directly ask questions such as:

  • "What is the sales revenue of personal care products in East China for Q1 2025?"
  • "Compared to the same period last year, which category has the fastest growth?"

The system automatically parses the questions, queries the data in real time, and generates natural language answers, sometimes accompanied by trend charts or brief analyses.

Performance Improvement:

  • Query time reduced from hours to seconds;
  • Managers can ask questions independently without relying on analysts;
  • Covers multi-dimensional data (time, region, category, etc.), offering flexible usage.

This solution helps the company greatly improve data acquisition efficiency and decision-making response speed.

Scenario 2: Product Performance Comparison and Recommendation​

Typical Application: Quickly find the most suitable option among multiple products

Customer Case: E-commerce Platform Intelligent Product Selection Agent

An e-commerce platform launched an AI product recommendation Agent to help users efficiently select from a vast array of products. Users only need to enter a natural language description, such as:

  • "I want to buy a camera with clear shooting quality and a budget around 8000."
  • "Are there any lightweight laptops suitable for outdoor sports?"

The system automatically analyzes user needs, filters matching items from the product database, and recommends 2-3 optimal products, providing comparison parameters, performance highlights, and usage scenario descriptions.

Performance Improvement:

  • Improves user purchasing efficiency, reducing decision time by an average of 60%;
  • Recommendations better match real needs, significantly increasing conversion rates;
  • Continuously learns user preferences to optimize recommendation results.

This feature is widely applicable to personalized recommendation needs in e-commerce, offline retail, 3C digital, and other fields.

Scenario 3: Multilingual Translation​

Typical Application: Combination of full-text and keyword translation to meet various language processing needs

Function Description:

  • For full document translation, simply upload the document to be translated, and the system will automatically complete the full translation;
  • For partial content translation, enter the text into the AI translation Agent to get real-time translation results.

This feature is suitable for cross-border communication, reading overseas materials, localization processing, and various other scenarios.