Too much data, too little recommendation
BI shows charts. Teams still ask “so what should we change on the catalog today?”
AI for Decision
Turn thousands of price, promo, and performance signals into recommendations your team can trust — with dashboards that show the KPIs that actually matter.
BI shows charts. Teams still ask “so what should we change on the catalog today?”
Off-the-shelf models do not know your brand floors, kits, or marketplace fee reality.
Leadership needs a tight set of revenue, margin, conversion, and channel KPIs — not twenty unused boards.
We build AI and dashboard layers on top of your ecommerce data model — recommendations, forecasts, and executive KPIs designed with your operators, not bolted on as a chatbot toy.
Narrate what changed across prices, promos, and performance.
Propose actions your pricing and category teams can accept or reject.
Where useful, project demand or margin impact before you move.
Only the indicators leadership actually reviews.
Wants models tied to real operating questions.
Need recommendations inside brand rules.
Own the weekly decision cadence.
Want a short, trusted KPI surface.
Not feature lists — the recurring loops your team runs once the layer is live.
Humans decide faster with ranked suggestions.
Leadership sees revenue, margin, and channel health without a scavenger hunt.
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Both, when it helps. Public market signals plus your ERP, catalog, and performance data make recommendations real.
Not necessarily. We often sit beside existing BI — or replace the parts your team ignores — depending on what you already trust.
Book a discovery call. We will map pricing, market, and ops around how you sell in Brazil.