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.
The real drain is in the hand-offs.
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 handles the repeat work. Managers focus on judgement.
AI turns one generic visit list into a store-specific sales plan. Before departure, it builds a Route Plan from store location, visit priority and the day’s objectives. At the door, it switches the playbook for a restaurant, neighbourhood shop or supermarket, preparing the pitch, objection handling and priority SKU mix. After the visit, it organises the opportunity and next action so reps arrive prepared and managers see progress the same day.
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.
- A practical visit route for the day
- Store-specific talking points and priority products
- Visit outcomes, opportunities and follow-up actions
How the work moves forward
- 01
Before departure, AI builds the day’s Route Plan from store location, visit priority, previous records and the day’s objectives.
- 02
At the store, it brings forward the outlet type, relevant history and the purpose of this visit.
- 03
Before the conversation, it provides opening lines, key questions and responses to common objections for that type of outlet.
- 04
During the pitch, it uses the store situation, order history and company priorities to recommend a priority SKU mix.
- 05
After the visit, it turns voice notes, photos and field notes into a visit result and next actions, flagging anything that needs a manager.
Important decisions stay with the owner.
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.