Retail: your best products, your best customers.
A retailer that only saw Shopify's reports now ranks its customers and products, forecasts demand and queries its data in natural language.
Knowing which products and customers pay off, and when to reorder.
The problem
The retailer only saw its business through Shopify's built-in reports.
It could not rank its products and customers by what they bring in, or know ahead of time when to reorder a product.
We connected Shopify and the documentation of the products sold, and sync them into one place.
- Shopify (sales, products, customers, inventory)
- Product documentation
We agreed with the retailer on standard retail definitions, then analyzed its data: RFM customer segmentation, ABC product classification and demand forecasting.
- Item
- Product
- Customer
- Store
- Location
- RFM segment
- ABC class
On that context, we delivered an AI-native analytics solution for the store's operator.
- Smart dashboards → The best customers and the best products, with real-time answers for the operator.
- Forecasting and reordering → Demand forecasting and inventory analysis that show when to reorder a product.
- Access from AI tools → An MCP server that lets the operator query their data in natural language.
- Documentation assistant An assistant that answers from the documentation of the products sold.
Results
The retailer now knows which products to order, when, and which customers to target. It queries its data in plain language from its AI assistant.
Tell us about your business.
Tell us which platform you sell on and what you want to understand better. We'll start there.