Implementation & How-To· 3 min read· By The SpideyChat Team

Product Data and Catalogue Questions

Buyers want your catalogue in their system, not on your website. A checklist for the data questions that decide B2B accounts.


A supplier wins a trial with a large buyer. The products are right, the price is competitive and everybody is pleased.

Then the buyer's procurement team asks for the catalogue in a structured format, with attributes mapped to their fields. The supplier sends a spreadsheet exported from an accounts system with inconsistent descriptions and no dimensions.

The account never scales. Not because of the product, the price or the service, but because nobody could get the catalogue into the system where the buying actually happens.

1. Understand where large buyers actually buy

Inside their own procurement systems, against their own approval rules, using catalogues loaded in advance. A supplier who exists only on their own website is invisible in that process.

2. Publish a structured catalogue file

A downloadable file in a standard format, with consistent columns and a stated update frequency. Buyers, resellers and integrators all ask for this and many suppliers simply do not have one.

3. Get the part numbers right and keep them stable

Manufacturer part number, supplier code and any alternates. Changing codes silently breaks every downstream system that referenced them and generates ordering errors for months.

4. Make descriptions consistent

A description field that is sometimes a specification, sometimes a marketing phrase and sometimes an internal note cannot be used by anybody. Consistency is worth more than eloquence.

5. Include the attributes buyers filter on

Dimensions, material, rating, thread, voltage, capacity and whatever else the category needs. Missing attributes mean a product is never returned by a filter and therefore never bought.

6. State pack quantity and unit of measure precisely

Singles, inners, outers and how price relates to each. This is the single most common cause of an ordering error and a returns conversation.

7. Provide usable images

Consistent, on a plain background, at a sufficient size, with a predictable file naming convention. Buyers loading a catalogue need images that arrive with the data rather than being requested later.

8. Include certification and compliance documents

Declarations, safety data and any regulated documentation, linked from the data rather than sent on request. In regulated buying this determines whether a line can be used at all.

9. Support punchout where buyers need it

Many larger organisations require it, and a supplier without it is excluded from a whole class of customer, which is the ground in punchout and procurement integration questions.

10. State how often the data updates

Daily, weekly or on change. A buyer working from a catalogue loaded six months ago is working from prices and products that no longer exist.

11. Include stock and lead time where possible

Even approximate availability in a data feed is enormously useful, which is the ground in stock level and backorder questions.

12. Handle obsolescence and supersession properly

When a part is replaced, the data should say what replaces it. Buyers with the old code in a system need the mapping rather than a rejection.

13. Publish an integration contact

Somebody who can answer a technical question about the feed within a day. Integration questions routed to a general sales inbox are where accounts quietly die.

14. Answer the catalogue question at the hour it is asked

An assistant that explains what formats are available, how often data updates, whether punchout is supported and what attributes are included lets a buyer's technical team get on with it instead of waiting for a callback. Training an assistant on the catalogue itself is covered in how to train a store assistant on your product catalogue, and the data quality effect on your own records in how chatbots feed your crm with clean lead data. See features, start at try, and the sector view sits under wholesale distribution.

Frequently asked questions

What product data do trade buyers need?
Part numbers, descriptions, specifications, dimensions, pack quantities, images, certification and pricing, in a structured format their own system can read rather than a page a person must copy from.
What is a punchout catalogue?
An arrangement where a buyer browses a supplier's catalogue from inside their own procurement system and returns a basket into it for approval, which is how a great deal of larger B2B spending happens.
Why does product data quality matter commercially?
Because a buyer whose system cannot ingest a supplier's data will use one whose data it can, regardless of who has the better product or price.

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