For Brazilian retail
AI for people who sell. Online, in-store, or both.
We build the data pipe (Magento, Shopify, Bling, marketplaces, ERP) and the agents that run on top. Natural-language analysis, team copilots, operational automation. Without breaking what already works.
Pains we hear
Recognize any of these?
Too much SaaS data
Shopify or Magento on one side, Bling on another, marketplace via barely-documented API, spreadsheet that finance maintains by hand. Nobody has the right margin number per SKU.
Rigid BI
Power BI or Metabase with 200 dashboards. Every new question becomes a ticket to the data team that takes days. Sales team stops asking.
Manual operations
Product launches, SKU reclassification, price updates across channels, order verification. Human hours on things software should be doing.
Use cases
What AI + data solves in retail.
Not hype. Work coming off the backlog.
Talk to your data
Ask in English: 'top 5 SKUs by margin this month', 'pending orders over R$ 500', 'customers who stopped buying 60 days ago'. No analyst in the middle. Accessible to anyone on the team.
Automated catalog curation
Agent classifies new products, writes descriptions, assigns category and tags, suggests price compared to market. You review instead of writing from scratch. Catalog team stops being a bottleneck.
Conversational anti-fraud
Agent that talks to the customer when an order falls into fraud review. Asks for documentation, validates CPF / address, releases or escalates. Reduces the human anti-fraud queue and speeds up legitimate delivery.
Omnichannel reconciliation
Order placed on Mercado Livre, paid via Pix, delivered by third-party logistics, partially returned. Where's the profit? The agent pulls from each source and closes the math. Monthly becomes daily.
Let's talk
Ready to see this with YOUR data?
30 minutes is enough to know if it makes sense for your retail. No commitment, no deck.
Book a call