BI dashboard
Deeper analysis of the last 12 months (or the period set in Store settings → BI dashboard): customer behaviour, product portfolio, invoice aging, quotation conversion and a full PDF report. To ask questions about your data, press Ask StartAI at the bottom corner.
Steps
- On your own store, ask about your data with StartAI, the floating button on every screen (see AI assistant chat). A demo store shows an "Ask about your data" box here that answers a few questions in the browser.
- In Customers, review New vs returning customers, Customer lifetime value, Churn risk and Cohort retention.
- Click a Churn risk tier (High, Medium, Low · view list) to see exactly which customers fall in it.
- In Products, click a cell of the ABC–XYZ matrix to list its products, and check Product sales trends and Return rate by product.
- In Collections & pipeline, read Invoice aging (0–30, 31–60, 61–90, 90+ days) and the Quotation win rate.
- Click Export report for a print-ready report of every chart with its key figures and data tables: Print / Save as PDF, or CSV of all tables.
- Click ⓘ on any chart to open the breakdown table, then export it as CSV, Print / PDF or send it by WhatsApp.
Tips
- Figures come from the store's whole history, with today and months in the store's time zone. Refresh asks for the latest figures; they also refresh on their own while the page is open (Store settings → BI dashboard sets how often, the period and the thresholds).
- Walk-in sales (no customer, or the counter's cash / walk-in customer) are excluded from customer analysis, so lifetime value and churn reflect named customers only.
- The Ask box is a demo of the Claude (MCP) integration and answers a fixed set of questions; other questions get a hint to try the suggestions.
- Quotation win rate = quotations invoiced ÷ all quotations in the period; a quotation counts as won once a sales invoice is made from it. Cancelled and deleted quotations are not counted.
In the app, press F1 or ? on this screen to open this guide next to your work.
This guide belongs to the Analytics & BI module. Learn more
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