Imagine a buyer asking an assistant for reusable transport containers that fit a particular shelf, tolerate a specified cleaning process and can be delivered to Rotterdam. Your catalogue contains a suitable product. Its dimensions sit in an image, the cleaning information lives in an old PDF and the enquiry form discards the selected variant. The problem starts before anyone reaches checkout.
An agent-ready B2B catalogue should help a buyer establish fit and carry that context into a real commercial conversation. For European manufacturers and distributors, this is a practical software opportunity even when final pricing and acceptance still require a person. The first objective is a better qualified enquiry, measured through the sales process.
The commerce plumbing is becoming more explicit
Shopify's agentic commerce documentation describes discovery, carts, checkout and orders as separate parts of an agent-supported journey. Its checkout integration guide includes a handoff to a merchant storefront to complete a purchase. These are concrete integration capabilities, with their own requirements and supported paths.
They do not mean every B2B supplier can appear in every assistant or accept autonomous purchases immediately. Eligibility, platform access, market coverage and integration details must be checked for the channel you choose. A custom implementation should expose capabilities your business actually supports, rather than advertise compatibility with a collection of protocol acronyms.
The useful lesson is architectural: discovery data, purchase preparation and commercial acceptance are distinct. Your own catalogue and enquiry system can make those stages work cleanly while external channels evolve.
Start with the questions a buyer must settle
Select a product family and list the attributes that determine fit. For containers, that might include usable internal dimensions, compatible lids, material, cleaning constraints, minimum order quantity and available variants. For an industrial service, it might be supported equipment, service area, required inputs and exclusions.
Give each variant a stable identifier and keep units explicit. A number without a unit is not a useful dimension. A family-level photograph should not imply that every visible accessory is included. Separate verified product attributes from marketing descriptions, and show where technical documentation applies to a specific revision.
Ask sales staff which unanswered questions delay quotations. Those questions should shape the catalogue and form. An attractive product description can draw interest, but a structured answer about size, destination or compatibility can remove an entire email exchange.
Connect freshness to the right business system
Different fields have different owners. Engineering may own specifications, product management may own descriptions, the ERP may own availability and sales may own customer-specific terms. A synchronisation job should preserve those distinctions instead of letting the latest update overwrite everything.
For stock and lead time, specify what the value means and when it was checked. Available at a central warehouse is different from deliverable to a particular customer on a particular date. If the system cannot calculate a reliable promise, it can state that a delivery date will be confirmed during quotation.
Keep public discovery information separate from account-specific pricing. An unauthenticated agent should not receive a customer's negotiated discount or credit status. A signed-in purchasing journey needs its own identity and permissions. The public catalogue can still offer a useful request-for-quote path without exposing private commercial data.
Build an enquiry that remembers the conversation
The best next step may be a quote request rather than a cart. Carry the selected items, quantities, destination and open questions into a review screen. Let the buyer edit that information before submitting. Preserve the product revision and the original requirements alongside any later sales clarification.
When an assistant proposes alternatives, label them as alternatives. Do not turn “could also consider this size” into a second requested line. A salesperson should be able to distinguish a firm requirement from a suggested match without reading a long chat transcript.
The destination in your CRM should be a usable opportunity or enquiry record, not an unstructured email with a vague subject. Include source attribution, relevant product references, the chosen language and the buyer's requested response channel. Explain which information is needed and avoid making unnecessary personal details mandatory.
Try a buyer challenge, not a catalogue beauty contest
Give the implementation team a set of requests that resemble actual purchasing conversations. Include a requirement the catalogue can satisfy, one it cannot satisfy and one that needs engineering review. Ask them to show both the buyer journey and the resulting sales record.
- ▸A dimension is given in a different unit from the catalogue.
- ▸The requested variant has a longer lead time than the family-level description.
- ▸A buyer asks for a property your documents do not establish.
- ▸A public enquiry becomes an authenticated customer quotation.
- ▸A product is retired while an earlier enquiry remains open.
- ▸The CRM is temporarily unavailable when the buyer submits.
The system should preserve uncertainty, recover the submission and avoid making unsupported product claims. These tests also reveal whether the project needs better source data before it needs more AI.
Measure the part that can become revenue
Traffic is an early signal. For this project, follow the path from product discovery to submitted enquiry, qualification, quotation and won work. Report missing requirements and rejected matches as well as enquiry volume. A larger queue of unsuitable requests can consume the sales team's capacity without helping the business.
Keep campaign or assistant attribution where the channel makes it available, but allow for visits with incomplete referral information. Do not label every unattributed enquiry as AI-generated. Compare the completeness of new enquiries with your existing forms and ask sales whether the requested products and quantities survive the handoff.
Commission a manageable first integration
Choose one catalogue family, one market and one destination in your CRM. Define the fields, update frequency, supported discovery channel and enquiry acceptance criteria. Add further protocols or checkout capabilities when there is evidence that buyers need them.
Our guides to API integration scope and multilingual business rules provide useful background for the surrounding implementation. A Dutch enquiry written in English may still require Dutch delivery and account rules; language alone does not determine the transaction.
TuniCyberLabs builds catalogue integrations and custom customer portals. Plan an agent-ready catalogue pilot around a product family your team wants to sell more effectively, with real buyer questions and a clear route from discovery to quotation.