The same answers, a different template every time
A foodservice wholesaler wants a spec sheet for the new range. A retailer's portal needs twelve tabs completed. A contract caterer sends a supplier questionnaire as a Word document with tables that break when you type in them. Each one asks for ingredients, nutrition per 100g, pack sizes, case and pallet configuration, shelf life, storage and allergen declarations.
All of that already exists. It is just spread over the technical team's folders, older spec sheets and the label artwork, and someone copies it across one field at a time.
Why it never gets easier
There is no single approved version of each product's data. The last spec sheet sent becomes the source for the next, errors included. When a recipe or pack format changes, some documents are updated and others are not, and nobody can say which customers hold the old version.
What the copying costs
- Technical staff spend their week on admin rather than on audits, suppliers and new products.
- Customers wait for specs, which can delay a listing or a menu launch.
- Inconsistent data goes out, with one customer holding a different case weight from another.
- When a product changes, there is no list of who needs an updated spec.
One product record, many outputs
- We build a product data store holding each product's approved fields: ingredients, nutrition, pack and case details, shelf life as your team has set it, storage wording and allergen declarations as your technical team has approved them.
- Each field has an owner, an approval date and a history, so it is clear which version is current.
- Customer templates are mapped once. Excel and Word templates are filled automatically, and for portals we produce an upload file where the portal accepts one.
- For free-form questionnaires, an AI step using a model such as Anthropic Claude or OpenAI matches questions to fields in the store and drafts answers only from approved data, marking anything it could not answer.
- The technical team reviews each completed document before it is sent. Nothing leaves without sign-off.
- The system records which version of each product's data went to which customer, so a product change produces a list of customers to re-send to.
| Request type | How it is handled |
|---|---|
| Customer Excel template | Filled from the store, reviewed |
| Retailer portal | Upload file where supported, otherwise a checklist |
| Word questionnaire | Drafted answers, gaps marked |
| Updated spec after a change | Re-issued to customers who hold the old one |
What the technical team gets back
Time. A spec request becomes a review task rather than an afternoon of copying. The data customers receive is consistent, and a recipe change has a clear trail of who was told.
It also helps sales. When a wholesaler asks whether you can supply a range and wants the specs by Friday, the answer no longer depends on the technical manager having a free afternoon. Draft documents are ready to review the same day, and the technical team decides when they go.
Over time the store becomes the reference the rest of the business uses too: label checks, the website's product pages and the answers customer services gives on the phone can all come from the same approved fields.
Is your team in this position?
- The same product data is typed into several customer formats every month.
- Nobody can list which customers hold which spec version.
- Spec requests queue behind audits and supplier work.
- The last sent spec sheet is used as the source for the next one.