AI product search in a B2B shop: 5 steps to faster ordering with Shopware

Manufacturers and wholesalers with extensive ranges know the problem: customers search for “stainless steel bracket M12 galvanised” but get hits only for “bracket” or “stainless steel”. The result is abandoned purchases, queries to the inside sales team and lost revenue. With release 6.7.12 in July 2026, Shopware introduced an AI-supported product search that handles multi-part queries more intelligently. This article shows how AI product search works in a B2B shop, what it delivers and how to introduce it in five concrete steps.

Why conventional search functions reach their limits in B2B sales

In B2B, product ranges differ fundamentally from consumer retail. While a consumer searches for “red dress”, a buyer in mechanical engineering needs an “SKF 6204-2RS1 ball bearing with contact seals”. Conventional search functions work with exact word matches or simple filters. As soon as a customer combines several attributes, the system fails.

Picture an electrical wholesaler with 45,000 items. A customer searches for “NYM-J 5x1.5 cable 100m drum”. A conventional search returns either no hits at all or hundreds of irrelevant results. The customer calls the inside sales team, ties up resources and lengthens the ordering process. At a time when B2B customers expect digital efficiency, the search function becomes a decisive competitive factor. How exact article number hits can be secured alongside this is covered in the article on article number search in a B2B shop.

There is a further point: many people in purchasing use different terms for the same product. What one calls a “screw connection” the next calls a “coupling” or a “fitting”. An intelligent product search has to understand these semantic variants and still deliver the right result.

AI product search understands context, not just keywords

The AI-supported product search in Shopware 6.7.12 works differently from conventional systems. Instead of checking individual terms in isolation, the technology analyses the overall context of the query. The system recognises that “M12” is a thread size, that “galvanised” describes a surface treatment and that “stainless steel” defines the material. These attributes are linked intelligently and matched against the product data.

The decisive advantage: the AI product search learns from user behaviour. If customers frequently search for “hydraulic hose DN20” and then order items described as “high-pressure hose 3/4 inch”, the system spots the connection. Future queries return both variants as hits. This self-learning element makes B2B search particularly valuable for companies with technically complex ranges.

Another mechanism is error tolerance. Typos, alternative spellings or industry-specific abbreviations are corrected automatically. A customer who types “Allen” gets hits for “hex socket”, even though the product is listed in the system under the technical term. For B2B shops with international customers this means that the intelligent product search also understands English or French search terms and matches them to the German product names.

Five concrete steps to introducing AI product search

Implementing AI product search in a B2B shop does not require a project lasting months. With a structured approach, the technology can be in productive use within a few weeks.

Step 1: structure and enrich the product data

The quality of the search results depends directly on the quality of the product data. Check that all the relevant attributes – material, dimensions, standards and technical specifications – are recorded in full. Use a Product Information Management System (PIM) to maintain data centrally and transfer it into the shop consistently. The more structured the data, the more precisely the AI product search works.

Step 2: install Shopware 6.7.12 and activate the AI module

The AI module is part of Shopware 6.7.12 and can be switched on through the administration interface. After activation the system re-indexes all product data. Depending on the size of the range, this can take several hours. Schedule the activation outside main business hours so that shop performance is not affected.

Step 3: analyse search behaviour and start the training phase

In the first few weeks the AI product search collects data on how users search. Review regularly which search terms are used frequently and which results lead to orders. Shopware provides an integrated analysis dashboard for this. Use those findings to record synonyms or add missing product attributes.

Step 4: involve the inside sales team and establish feedback loops

Your inside sales team knows the typical customer enquiries best. Involve them actively and ask which search terms have led to queries so far. That information helps to improve B2B search in a targeted way. Establish a regular feedback loop in which the team contributes suggestions for improvement.

Step 5: continuous optimisation and expansion

AI product search is not a static system. New products, changing customer requirements and international markets call for ongoing adjustment. Schedule quarterly reviews in which you assess how the search is performing and identify scope for improvement. Extend the system step by step with features such as voice search or visual product recognition once the basics are running stably.

Conclusion: faster ordering through intelligent search

AI-supported product search is not a technical experiment but a measurable competitive advantage for B2B shops. Companies with large ranges benefit from shorter ordering times, fewer abandoned purchases and a noticeable easing of the load on inside sales. With Shopware 6.7.12 a mature solution is available that can be introduced in five structured steps.

What matters is the quality of the product data and continuous optimisation. Anyone who treats B2B search as a strategic instrument rather than a one-off installation creates a platform that grows with customer requirements. Take the chance to make your digital sales channels fit for the future and to offer customers a buying experience that combines efficiency with precision.

From evaluation through to rollout, our Shopware agency will support you in introducing AI product search in your shop.