Try it on examples first
We collect typical inputs, tricky cases and answers your team would accept. Then we try a small prototype. We compare its suggestions with your current process: how often is it right, when must someone step in and how much work does it actually save?
You can try a small product classifier below. It learns from example descriptions and suggests one of three categories. If a description is unfamiliar or ambiguous, it leaves the decision open. The products are fictional and the demo can't access a store.
What you get from a pilot
You see the tested use case, the data it needs, typical errors and the estimated cost of running and reviewing it. If the pilot is useful, we can connect it to your systems. We agree on what it may read and who approves changes before integration.
Does this need a language model in my store?
No. A small classifier may be enough for categorisation. Open-ended support questions often need approved source material, a different model and a handoff to a person. The task determines the approach.