RetailIQ · Olist, Brazil

Decision-support analytics on 98,699 real Olist orders.

A real business decision, backed by a real query. Every number here traces to a dbt model you can open and read — the AI describes what's on screen; the judgment is human, quantified, and tagged as such.

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Warehouse cold — proof unavailable right now.
Real dataset · Olist, 2016–2018dbt-tested warehouseCode-built, no BI toolLive — not a screenshot
What you can explore
Exec Summary

The 30-second version — headline revenue, growth, and where it’s really coming from.

Revenue

Which categories drive the business, and how concentrated is that risk?

Cohorts

When — if ever — do customers come back, and how short is the win-back window?

Segments

Which customers actually drive revenue, and where’s the upside?

Sellers

Which sellers carry the platform, and which ones are a delivery-quality risk?

Logistics

Where does late delivery actually hurt customer satisfaction?

Built by Samuel — samvgarcia.com