When a logistics operation faces an AI prototype built with a generator, it is worth framing the work before selecting a tool or requesting a full build quote. This guide turns the issue into a small, reviewable first engagement.
Describe the problem before the solution
Keep one workflow, the data that workflow actually needs and the people affected by it. Record exceptions that must stay manual and systems that cannot be interrupted.
Bound the first scope
a logistics operation should state what triggers the work, what must be produced and what counts as the pilot scope. Local context changes stakeholders, working languages and operating constraints; it does not remove the need to test the real workflow.
Agree the acceptance evidence
Ask for a before-and-after scenario, authorised roles, expected failures and a demonstration with representative cases. A feature is accepted only when its result and recovery path can be observed.
Prepare the supplier conversation
Bring anonymised examples, monthly volume, current tools and the person who will accept the result. Separate discovery, pilot and rollout so that each decision rests on evidence.
Related reading : See the other decision guides. Discuss your project with Sky Vaults.