AI Tool for Ecommerce Analytics — Upload Store Data, Ask

What this export contains

What makes this file hard to work with

• Return rate by product is invisible in standard exports

  Shopify and WooCommerce exports mix orders and returns. Finding which SKUs have the highest return rate requires pivot tables across two exports.

  DataMimi Upload your orders and returns files and ask 'which SKUs have the highest return rate this quarter?' — Datamimi cross-references both files and ranks by return %.

• Best-seller rankings change but you only see last month

  Your product export shows total sales but not which products are trending up or down this month versus last month.

  DataMimi Ask 'which products grew more than 20% in units sold this month vs last month?' and Datamimi compares both periods from your export columns.

• Discount code impact is never quantified

  You know discount codes were used but the export doesn't pre-calculate how much revenue was discounted per code or category.

  DataMimi Ask 'how much revenue did discount code SUMMER25 cost us in Q2?' and Datamimi sums the discounted rows and returns the total impact.

• Customer repeat-purchase rate requires a separate cohort analysis

  Finding what percentage of last month's buyers already purchased before requires VLOOKUP across order history — a 30-minute task.

  DataMimi Upload 12 months of order history and ask 'what percentage of buyers in January made a second purchase within 90 days?' — Datamimi traces repeat purchases by email.

Common questions