Plan the next stop, a store-specific pitch and priority SKU mix
AI builds the day’s Route Plan, then prepares a store-specific talk track, objection handling and priority SKU mix for each restaurant, neighbourhood shop or supermarket.
- Work arrivesStore checks and feedback
- AI preparesPrepare information and next actions
- People confirmReview the result and decide
This comes from real store-operations work involving the core team. Company names, people, and business data have been removed.
Explore this scenarioExplore the human–AI handoff
- The friction
- A restaurant, neighbourhood shop and supermarket on the same street may serve different customers, display products differently and buy for different reasons. Yet reps often receive one generic store list: the route depends on experience, the conversation is improvised and product recommendations rely on memory. A full day of visits does not always mean the right stores were prioritised or the right products were presented.
- AI's role
- It plans the day’s route, brings forward the outlet type, history and sales objective at each stop, and prepares opening points, likely objections and priority products. After the visit, it turns notes into the next action.
- Human decisions
- AI plans the route, prepares the pitch, recommends products and organises follow-up. Reps verify what is true in store, decide how to handle the conversation and record it accurately. Pricing, rebates, credit terms, stock commitments and promotion policies remain with authorised staff.
- What takes shape
- A practical visit route for the day
- Store-specific talking points and priority products
- Visit outcomes, opportunities and follow-up actions