AI Analytics & Business Intelligence
Can AI explain why sales changed?
Summary
Yes. ShopIQ can help merchants investigate possible reasons for sales changes using available business data. AI can review changes in products, orders, customers, campaigns, coupons, returns, cancellations, traffic data where connected, and shipping issues to identify possible explanations.
Who this is for: Merchants who want to understand why sales increased, dropped, or changed during a specific period.
Can AI explain why sales changed?
Yes. ShopIQ can help explain possible reasons for sales changes using AI Analytics. Merchants can ask questions such as:
- "Why did sales drop this week?"
- "Why did sales increase yesterday?"
- "What changed compared to last month?"
- "Which products caused the sales change?"
- "Did my campaign affect sales?"
- "Did returns reduce my revenue?"
- "Did shipping delays affect orders?"
What data can AI review to explain sales changes?
- Sales, orders, and product performance
- Category performance and customer activity
- Coupon usage and campaign data
- Returns, refunds, and cancellations
- Payment failures and shipping delays
- COD performance
- Traffic data where connected
- Connected app data where configured
Can AI explain sales drops?
Yes. AI can help investigate possible reasons for sales drops such as lower order volume, underperforming products, campaign ending, coupon not used, stockouts, high cancellations, high refunds, shipping issues, payment failures, traffic drop where analytics data is connected, or seasonal demand changes. Merchants should verify AI findings before taking action.
Can AI explain sales growth?
Yes. AI can help identify what contributed to sales growth — for example, a strong product performance, successful campaign, coupon usage, repeat customer orders, bestseller movement, higher average order value, seasonal demand, improved product content, traffic increase where connected, or a new collection launch. Understanding sales growth helps merchants repeat what worked.
Can AI compare two periods?
Yes. Merchants can ask AI to compare two time periods. For example: "Compare this week with last week", "Compare this month with last month", "Compare Diwali sale with Rakhi sale", or "Compare sales before and after the campaign." Comparison helps merchants see what changed.
Can AI explain product-level changes?
Yes. Merchants can ask "Why did this product stop selling?", "Why did this product sell more this week?", "Which category caused the sales drop?", or "Which product improved revenue?" Product-level analysis helps merchants take specific action.
Can AI explain changes caused by returns and refunds?
Yes. If return and refund data is available, AI can help identify whether refunds, returns, or cancellations reduced net sales. For example: "Did refunds reduce this month's revenue?" or "Which product caused the highest refund value?"
Does sales explanation consume AI credits?
Yes. AI-powered sales explanation consumes AI credits. Manual dashboard review does not consume AI credits.
AI can identify possible reasons, but it may not know every external factor such as competitor activity, offline events, or social media changes. Merchants should use AI explanations as a starting point for investigation, not a definitive answer.