Why we built Aucava for distributors, not brands

Most AI-for-supply-chain companies are building for brands: the manufacturers who ship product into distributors. It is a good business. It is not our business.

Aucava is built for the distributors themselves: the SMEs who sit between producers and the 50,000 hospitality venues, shops, and trade customers in the UK alone. It is a different shape of problem.

Different operational centre of gravity

Brands optimise around their own SKUs, their own production line, their own forecast. Distributors optimise around other people's SKUs, across hundreds of suppliers, for thousands of trade customers, each with their own pricing, payment terms, and relationship history.

That means the data model is different, the integrations are different (Bevica, not SAP IBP; Xero, not NetSuite OneWorld), and the workflows are different. A tool built for a brand's planner does not drop neatly into a distributor's ops lead's day.

What we actually mean by 'execution layer'

An execution layer reads from your operational systems, decides what to do, does it, and logs the result, with a human checkpoint where trust or money is at stake. It is not a dashboard. It is not an inbox. It is not a chatbot.

• Reads: order emails, PDFs, WhatsApp messages, supplier confirmations, stock feeds.
• Decides: matches SKUs, validates pricing, flags credit exceptions, proposes POs.
• Executes: posts to the ERP, confirms to the customer, triggers the next step.
• Checkpoints: pings a human in Slack the moment anything crosses a threshold you set.

The difference matters because distributors already have ERP and CRM. They do not need another system. They need the existing systems to stop being filing cabinets and start being operators. That is the gap Aucava fills.

“Your ERP is a filing cabinet, not an operator. Your team is the glue holding it together.”