Avent

Avent is not trying to be a general-purpose AI assistant with an industrial skin. Its architecture starts from a shared business model — customers, products, transactions, and rules — and then runs AI at specific workflow steps: matching RFQ line items to catalog products, applying contract pricing, validating a PO against a quote, preparing a sales order for the ERP. That structure matters. It means the automation has deterministic inputs and outputs rather than a chatbot's open-ended response, and it means every step can carry an approval gate, a data dependency, and a traceable record. Where Avent looks strongest is the combination of Forge and Arc. Forge is the canvas where a distributor's own team edits and approves process changes visually — the workflow is inspectable node by node, with lines showing what each step reads and produces. Arc is the AI copilot that drafts changes (for example, adding a sales-manager approval before sending quotes below a 20% gross margin) for a code owner to review. That's an unusually honest stance for an AI workflow tool: the AI proposes, a human decides, and nothing goes live until it's approved. The Knowledge Base layer — contracts, special pricing agreements, policies, documented exceptions — is meant to keep that logic consistent as salespeople leave and roles change, which is a real problem in distribution. The honest constraints are the usual ones for a domain-specific automation layer. Avent is built for industrial distribution, and its value scales with the quality of your catalog and pricing data. If your product records are inconsistent or your pricing rules live in a long-tenured salesperson's head, the automation has less to work from. The company describes itself as built by distributors, for distributors, and the platform is SOC 2 compliant with the stated position that customer data is kept separate with no shared training between customers. What we don't have visibility into from the public pages is the full set of out-of-the-box connectors; the vendor describes ERP, CRM, and email connectivity at a category level rather than publishing a named integration list. Who it's for: mid-market and larger industrial distributors and suppliers whose order flow arrives mainly as email RFQs and PO attachments and who already have an ERP they intend to keep. Who it's not for: teams without structured catalog and pricing data, teams whose orders don't arrive as email, and anyone looking to replace their ERP or CRM outright. If you're evaluating it, pick one process — quoting is the natural first — set a measurement for time-to-quote and quote accuracy, and look closely at how the platform captures and reuses human corrections before you expand the scope.