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, plus the capability to augment sales reps by automating quote generation, RFQ responses, follow-ups, and meeting scheduling.

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, generating accurate quotes, and running automated follow-ups until the customer responds. Sales reps focus on negotiating large or complex deals while AI handles the long tail (typically 70-80% of inbound volume), plus CRM updates and meeting scheduling for promising opportunities.

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, then generate accurate interactive quotes that buyers can refine in real time. Sales reps receive pre-qualified opportunities with the quote already shared, freed from the catalog research work.

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, find substitutes when items are out of stock, generate interactive quotes for bulk orders, schedule follow-up calls with sales reps when needed, and process reorders from past purchase history, all without requiring a sales rep on the line. Reps get notified only when human attention adds value.

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 products, applies customer-specific pricing, checks availability, generates an interactive quote, schedules a follow-up call if needed, and updates the CRM. Kleio's wholesale agents replace fragmented portals with continuous, conversational buying journeys, and they augment your sales reps by automating the repetitive quote-and-follow-up work.

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. Automated quotes, follow-ups, and meeting bookings sync back to your CRM and ERP so sales reps see every AI-driven action in their existing tools.

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 customer-specific pricing logic, connecting messaging channels for automated follow-ups, and testing edge cases. Both customer-facing and sales-rep-copilot use cases deploy in parallel.

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, personalized service at scale, faster RFQ turnaround, and a sales force augmented to handle 2-3x the volume without growing headcount. Automated quote generation, multi-channel follow-ups, and meeting scheduling let reps focus on the deals where their expertise actually wins.

Kleio's wholesale and industrial distribution capabilities are deployed across European distribution groups. Use cases include B2B portal self-service, sales rep augmentation, automated quote and RFQ generation, multi-channel follow-up nurturing, and meeting scheduling. Specific reference cases are available under NDA on request.

Yes. Kleio automates the repetitive, high-volume tasks that consume most of a wholesale sales rep's day: parsing inbound RFQs from email, portal, or EDI, generating interactive quotes that buyers can refine in real time, running multi-channel follow-up sequences across email and WhatsApp, scheduling calls based on rep availability, reactivating dormant accounts with timely messages, and enriching the CRM after every interaction. Reps keep ownership of the relationship and the close, while the AI removes the admin around it.

Wholesale distributors can't easily expand sales headcount, and rep capacity becomes the bottleneck during peak demand. Kleio gives each sales rep a copilot that automates RFQ response, quote drafting, follow-ups, and meeting scheduling, letting each rep handle 2-3x the account volume while keeping the human in control of negotiation and closing. AI also covers nights and weekends with instant inbound RFQ engagement, so reps walk in to qualified pipeline every morning.