The agent walks into the pharmacy with a sheet. Not a catalogue, not a company brochure — a sheet. A market analysis on compression stockings prepared with AI before the visit: category trends, turnover data, positioning vs the competition, two arguments tailored to that type of client.
He explains it to the pharmacist. They reason through the data together. Then he proposes the product.
The old logic, accelerated
In the end, this is nothing new. It's the old client card logic that good salespeople have always applied: study the client before walking in, arrive with something concrete to show, reason together rather than just presenting a price list.
The difference is that today preparing a visit like this — category data, specific arguments, market context — used to take hours. With AI it takes ten minutes.
"Whoever prepares the visit is always ahead of whoever improvises. Today AI lets you do it better and faster."
What was on that sheet
The brief was simple, one page. It contained:
- Category trend — compression stockings are growing in the pharmacy channel, driven by an ageing population and rising vascular conditions. Concrete data to show the pharmacist.
- Estimated turnover data — how much the product typically moves in a pharmacy of that size, with that catchment area.
- Main argument — why that specific product, in that range, makes sense for that client.
- Likely objection and response — the pharmacist already had a supplier in that category. The brief had already anticipated the comparison and the response.
The brief was prepared the morning before the joint call. Prompt on ChatGPT, basic data from our app, ten minutes of work. The pharmacist looked at it and said: "Nobody has ever brought me anything like this." That sentence is worth more than any data point.
The point
AI doesn't sell instead of the sales rep. It puts the sales rep in a position to sell better — with more context, more preparation, more confidence when walking through the client's door.
The rest is still done by the person, standing in front of the shelf, with a pharmacist who can see that someone did their homework.
Whoever uses AI in sales today has an advantage. Not over those who will never use it — over those still waiting.
