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Increases audit efficiency by 50% each store visit
Issues
Coca Cola Andina was carrying out 4000Ā store visits on average per month, with large amount of data to be processed, organized and analyzed. This process required time and quality optimization, as much as an innovative approach to gathering in-store data in a cost and time-efficient manner.
Key initiatives
![](https://ailet.com/wp-content/uploads/2024/06/Frame-512916-1.png)
![](https://ailet.com/wp-content/uploads/2024/06/Frame-512916-1.png)
Taking into account Ailet global expertise and developed skills from previous projects, we were able to offer the company a best suited solution, 100% adapted to its local needs.
LeveragingĀ Price MonitoringĀ andĀ Retail BasicĀ solutions Coca Cola Andina is now able able to:
- Set clear and straightforward tasks and guidelines for data collection to field-force teams
- Ensure execution of set standards for pricing and promotion
Results
- Improved store visit efficiency by reducing time spent at each store visit and expanding POS coverage in less time, resulting in a 50% increase in overall efficiency
- Enhanced audit quality by elevating accuracy from approximately 80% (comparable to human visual inspection) to over 95% precision in scanning product displays using AI and Computer Vision