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An AI assistant for B2B ecommerce: product codes, large catalogues and technical product data

In short: B2B buyers are usually looking for a specific technical property, a compatible product or a figure on page 12 of a data sheet. An AI assistant helps them find the right product in a large catalogue using product data and attributes, answers from agreed PDF documents, and turns products, quantities and requirements into a quote request for your sales team. A quote request isn't an order. Pricing, contract terms and exceptions stay with people.

How B2B buying differs from consumer ecommerce

Consumers often buy a single item after comparing a handful of options. B2B buyers work differently:

  • Catalogues are large. There may be thousands of products separated by small technical details.
  • Information is technical. Dimensions, materials, connections, standards, capacities and operating environment decide the purchase.
  • Documents matter. Data sheets, installation guides and technical brochures are part of the decision.
  • Quantities are large. Buyers need availability, and often a quote, before they order.
  • Buyers know their field. They frequently know exactly what they need and expect a precise answer.

In this setting, site search and filters get buyers a long way, but not always all the way. Often they'd rather ask a salesperson, while the salesperson's time disappears into routine questions.

From a large catalogue to the right product

Describing the need in plain language

A buyer might write: "I need a ceiling-mounted light fitting for a damp space." The AI assistant uses product attributes and technical values to suggest suitable options and explain why they fit. With several requirements in play, it can ask clarifying questions.

Product codes and exact identifiers

Experienced buyers often search straight by product code or manufacturer model name. The assistant works from the product data agreed for the integration, so during onboarding it's worth making sure product codes, manufacturer model numbers and other identifiers your customers use are actually in that data.

Comparison based on technical data

When two products look identical, the difference is often a single value. The assistant can compare attributes and summarise what matters. If a value hasn't been recorded, it says so instead of guessing. That's especially important in B2B, where wrong technical information can lead to the wrong order or, worse, an incorrect installation.

Technical product information from PDFs

In B2B, the most valuable information often lives in PDFs: exact values in data sheets, clearances and environmental requirements in installation guides, maintenance instructions in manuals.

The assistant can search an agreed document linked to the product and bring the relevant part into the conversation with a link. Ask "how much clearance does this unit need?" and the answer comes from that model's own guide, which the buyer can check in the original.

Two principles matter:

  1. Answers are based on agreed material. The store decides which documents count as sources.
  2. Missing information is not a confirmed property. If the document doesn't state something, the assistant must not conclude that the product meets the requirement. It offers to contact your team instead.

Coverage depends on the document's content and readability. Text-based PDFs generally make better sources than scanned images.

Quote requests in the conversation

In many B2B businesses, a large share of sales starts with a quote request. Traditionally that means a free-form email listing products, quantities and delivery wishes, followed by back-and-forth to fill in what's missing.

In a conversation, the buyer can describe the need and quantities, e.g. "I'd like a quote for ten of these lights, delivered next month." The assistant gathers the agreed details (products, quantities, delivery preference, contact details) and shows the request to the buyer to review before it's sent to the merchant.

Be clear about what a quote request is and isn't:

  • It is a structured request for your team to handle.
  • It isn't an order or an automatically accepted quote.

Pricing, discounts, contract terms and delivery commitments remain with your sales team. The assistant's job is to make sure they have everything they need straight away, and that requests don't get abandoned because writing the email felt like too much effort.

What this means for your sales team

In B2B, the time of salespeople and technical specialists is precious. When routine questions such as data sheet values, delivery guidance or order status are handled in the conversation, more of that time goes where it counts: preparing quotes, designing solutions and building relationships. The merchant can see forwarded requests and conversations in the admin, with the background already there.

Availability and order status

When availability data is part of the integration, buyers see stock levels in the conversation. With an integration that supports order tracking, customers can check the processing and shipping status of their own order, including partial shipments. Access to private data is checked through the integration, and no delivery promise is made when source data is missing.

Preparation checklist for B2B merchants

  • Identifiers: include product codes, manufacturer model numbers and other identifiers customers use in your product data.
  • Technical attributes: fill in the key values for your best-selling categories first, with consistent units.
  • Documents on products: link data sheets and guides to the right products.
  • Quote request fields: decide what details a request should contain.
  • Ownership: agree who handles quote and contact requests.

Neuwon for B2B ecommerce

Neuwon is an AI shopping assistant from JR Soft for Finnish and European online stores, B2B included. It works from agreed product data, attributes and availability, answers from PDF documents and collects B2B quote requests for the merchant to handle. It works in Finnish and English.

Magento / Adobe Commerce is available now, WooCommerce is nearly ready and Shopify is in development. The fixed price is €295/month, including a generous allowance of 100 AI credits a month, and onboarding is free. Read more about use cases, integrations and pricing.

Frequently asked questions

Is an AI assistant a good fit for B2B ecommerce?

Yes, particularly when the catalogue is large and product data is technical. It helps buyers find and compare products, answers from agreed documents and collects quote requests.

Can the AI assistant give the customer a quote?

No. It assembles products, quantities and requirements into a quote request for your team. The request isn't an order or an automatically accepted quote.

Can the assistant find a product by its product code?

The assistant works from the product data agreed for the integration. When product codes and model numbers are included in that data, they can be used. Confirm this during onboarding.

How does the assistant handle information a document doesn't contain?

Missing information isn't treated as a confirmed property. The assistant says the information isn't available and offers to contact your team.

Can it serve international B2B customers?

Neuwon works in Finnish and English, so it also suits stores where some buyers use English. Data sources are agreed for each store.

Next step

Does your B2B store have a large catalogue and a steady stream of technical questions? Get in touch and we'll look at bringing your product data, documents and quote requests into one conversation. You test everything on your own data before launch.