Analyse walking routes in the store and improve the layout
Retailers analyse anonymised walking routes in the store to improve product placement and store design
Fits: Sales · Marketing & communications · Leaders & strategy
You see which zones customers head for, where they stop and which areas they ignore. You can compare refits and new placements before and after instead of deciding by gut feeling.
Is this for you?
- You are planning refits, new promotional areas or placements and want to know whether they work.
- A counting system at the entrance and in zones already exists or is planned, and the data comes as aggregated figures per zone, not as images of individual people.
- Data protection and, if you have one, the works council are prepared to review the project with you early on.
Take an export with visits per zone and week, or make up a small table for four weeks before and after a change in placement. Have it compared with the template below and check whether weeks with outages and customer numbers at the entrance are taken into account correctly.
How to go about it
- Ask a question about the floor space
- Combine zone figures and till data
- Have before and after compared
- Cross-check with everyday store life and the tills
- Present the result as a floor plan
- Repeat the analysis after every refit
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
Same approach, other use cases
28 more use cases follow the pattern “Analysing & reporting data”.
EH-06 · Legal status 08.10.2026