Wholesale and industrial distribution have specific requirements: massive product catalogs (often 500k+ SKUs), complex pricing rules (customer-specific contracts, volume tiers, seasonal terms), bulk RFQ workflows, and integration with ERP systems. Generic e-commerce AI tools fail here. Kleio is purpose-built for wholesale, with a Knowledge Engine designed to reason over product hierarchies, customer-specific pricing, and stock availability across multiple warehouses simultaneously.

AI agents automate the high-volume, repetitive parts of wholesale RFQ workflows: parsing inbound requests (email, portal, EDI), matching requested products to your catalog, applying customer-specific pricing rules, checking availability across warehouses, and generating quotes. Sales reps focus on negotiating large or complex deals while AI handles the long tail — typically 70-80% of inbound volume.

Yes — but only with the right data architecture. Kleio's Knowledge Engine uses five purpose-built data stores (product, pricing, customer, graph, documents) instead of forcing everything through a single vector database. This lets AI agents traverse product hierarchies, find substitutes, apply variant rules, and respect compatibility constraints — operations that flat semantic search cannot do reliably on large catalogs.

B2B buyers increasingly want consumer-grade self-service: instant product discovery, accurate stock visibility, real-time pricing, quick reorders. AI agents on your B2B portal handle product Q&A ('does part X fit model Y?'), find substitutes when items are out of stock, generate quotes for bulk orders, and process reorders from past purchase history — without requiring a sales rep on the line.

AI search returns a list of products matching keywords. An AI sales agent has a conversation: it understands the buyer's project context, asks clarifying questions, recommends the right product (and complementary items), applies the right pricing, checks availability, and processes the order or RFQ. Kleio's wholesale agents replace fragmented self-service portals with continuous, conversational buying journeys.

Yes. Kleio integrates with major ERP systems (SAP, Oracle, Microsoft Dynamics) and PIM platforms (Akeneo, Salsify, inRiver) via standard connectors and APIs. The Knowledge Engine ingests product data, customer-specific pricing, contract terms, and inventory in real time, so AI agents always work from current, accurate data.

Wholesale deployments at Kleio typically take 8-12 weeks given the complexity of product catalogs and pricing models. The pre-built wholesale ontology accelerates the work: it already models products, variants, hierarchies, customers, contracts, and inventory. Most time is spent integrating your specific ERP and PIM data, modeling your customer-specific pricing logic, and testing edge cases.

Distributors are increasingly squeezed between marketplaces (Amazon Business, Alibaba) and direct-to-buyer channels from manufacturers. AI agents help distributors defend their value proposition: deep product expertise (the AI can answer technical questions across your full catalog), personalized service at scale (every customer gets dedicated guidance), and faster RFQ turnaround. AI lets distributors offer the breadth of a marketplace with the expertise of a specialist.

Kleio's wholesale and industrial distribution capabilities are deployed across European distribution groups. Specific reference cases are available under NDA on request.