Ask your sales and inventory data in plain language, automate repetitive operations, support your distributor network. This is what an AI agent can do across manufacturing and distribution, with your commercial data staying inside your own systems.
Start with one workflow that pays for itself, then expand on the same private, governed platform. No new vendor cycle each time.
NL→SQL over the ERP and data warehouse. "How much did SKU X sell by channel and distributor last quarter?" Answered directly, without a BI ticket or an analyst in between.
Invoice matching, supplier validation, purchase-order handling, and distributor support, answering the network on price, stock and terms against your commercial policy.
RAG over catalogs, contracts and spec sheets plus NL→SQL over demand: detect stockouts, prepare distributor-compliance reports, fully governed so each distributor or area sees only its own data.
These are workflows a Fogoarai AI agent can run across manufacturing and distribution. They are illustrative of the capability. The exact workflow, systems and success metric are defined with your team. Fogoarai already has use cases running in production today.
In manufacturing and distribution, the fastest win is letting people ask the sales and inventory data directly. No BI queue.
Ask your databases in plain language. A fine-tuned local model turns the question into validated SQL. No BI ticket, and no data leaves the network.
Agents read your internal archive (documents, manuals, regulations, prior cases) and answer with citations to the source. Private embeddings, served locally inside your network.
Small specialized models handle the repetitive work (classify, extract, validate, summarize) at a fraction of frontier cost, escalating to frontier models only when the task needs it.
Every action is tied to a real user, gated by policy, approved where it matters, and recorded in an immutable audit trail your security and compliance teams can review.
Built around your commercial-data confidentiality. Each distributor, plant and area sees only what policy allows, and every action is recorded.
Start by putting natural-language access on your sales and inventory data, then expand into repetitive operations and a supply-chain copilot. All on your own systems.