Analytics skills

Analytics skills provide full-link analysis, attribution diagnosis, and growth suggestions based on store operation data. Through natural language conversations, you can quickly get operation performance insights, identify growth opportunities, and receive actionable optimization plans.

To help you get started without any barriers, we have preset the "Data" quick access below the dialog box. No need to manually enter commands—just click to invoke the "Review last week's operation changes, break down GMV contribution by channel, find core products driving growth, track traffic conversion funnel, identify high-value customer sources" five core scenarios, quickly start analyzing and overview your store's operation status.

Business insights

Applicable for: Merchants who need to stay on top of store operation status without spending time on complex reports.

Say goodbye to the hassle of complicated spreadsheets. You just need to ask simple questions, and the analytics skills will provide you with intuitive data reports, deeply explain the logic behind the data, pinpoint your business issues, and customize optimization strategies for you.

Scenario 1: Business review, master overall growth trends

• Applicable for: Periodic reviews (weekly/monthly, etc.), quickly assessing business health
• Operation: Directly enter the operation data you want to query in the dialog box, such as "Review last week's operation changes";
• AI execution flow:
  • Data display: Shows sales, order counts, and presents operation changes combined with overall trends;
  • Key findings: Automatically identifies core variance indicators such as sales fluctuations and order changes, quickly determining if business performance is growing or declining;
  • Optimization plan: Based on operation changes, gives priority focus areas and suggested actions for the week, helping you quickly focus on key issues.

Scenario 2: Channel analysis, break down GMV sources and contributions

• Applicable for: Optimizing channel structure, improving channel ROI
• Operation: Directly enter the data you want to query in the dialog box, such as "How are the sales contributions by channel?";
• AI execution flow:
  • Data display: Calculates total sales by channel and shows GMV contribution ratio of different channels;
  • Key findings: Automatically identifies the channel with the highest sales contribution and compares performance differences between channels;
  • Optimization plan: Provides channel resource adjustment suggestions to help you prioritize and amplify the sales contribution of high-performing channels.

Scenario 3: Product insights, find core products driving growth

• Applicable for: Finding bestsellers, controlling inventory, improving product structure health
• Operation: Directly enter the data you want to query in the dialog box, such as "Which products are selling best?";
• AI execution flow:
  • Data display: Check last week's product sales and show the sales contribution of main products;
  • Key findings: Automatically identifies the best-performing core products and key products driving overall growth;
  • Optimization plan: For high-performing products, gives operational suggestions to further amplify sales, such as activities, promotions, or traffic direction.

Scenario 4: Conversion analysis, track traffic conversion funnel

• Applicable for: Optimizing channel structure, improving channel ROI
• Operation: Directly enter the data you want to query in the dialog box, such as "Track traffic conversion funnel";
• AI execution flow:
  • Data display: Sorts out the complete conversion funnel from entering store, browsing, adding to cart, to payment;
  • Key findings: Precisely locates the step with the most serious loss and analyzes the reasons for the broken chain;
  • Optimization plan: Gives clearly prioritized conversion optimization actions (such as pages, prices, trust elements, etc.).

Scenario 5: Customer analysis, identify high-value customer sources

• Applicable for: Improving conversion rate, optimizing user paths
• Operation: Directly enter the data you want to query in the dialog box, such as "Where do high-spending customers come from?";
• AI execution flow:
  • Data display: Breaks down GMV contribution and change trends for new and returning customers respectively;
  • Key findings: Identifies the channel sources of high-value customers, determines growth drivers (new customer acquisition or repeat purchase), and identifies risks of returning customer churn;
  • Optimization plan: Provides suggestions for optimizing customer acquisition channels and resource allocation between new and returning customers.