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Retail network · Tax and BI
AceleraMatCon
Invoices from a 61-store network turned into BI, quotes and financial planning.
- Client
- Cooperative network of 61 building materials stores
- Status
- In production
- Technology
- Node.js · Fastify · Prisma · PostgreSQL
Screens show fictitious or demo data.
It collects each store's purchase and sales invoices using the owner's own digital certificate and turns them into rankings, ABC analysis, P&L and price comparisons, for the network, for each store and for manufacturers.
AI only where rules fall short, always by the cheapest route.
In production
- stores with purchases collected
- 60 of 61stores with purchases collected
- suppliers
- 502suppliers
- screens
- 78screens
- commits
- 614commits
What the system does
- Continuous invoice collection with an encrypted A1 certificate
- Store owner onboarding by CNPJ (company tax ID)
- Network BI: store rankings, ABC analysis, product mix and P&L
- Store owner portal: invoices, cash flow and stock radar
- Smart quoting with suppliers
- Manufacturer portal and audit trail
Where AI comes in
- 01Store analysis: where it's overpaying and what to do about it
- 02Sales rep quotes read by cost: spreadsheets without AI, PDFs with light AI, photos with vision
- 03Bulk curation of brands and manufacturers
- 04Sales assistant and daily checklist
Next case
OrgSense AI
HR and OHS · Psychosocial risks
Have a system this size you want to get off the ground?