Datafest 2024 is the most prominent and challenging data analytics event in Peru, where 11 universities compete in an exciting contest of analyzing real-world data. This year, our goal was to develop an innovative solution to optimize the replenishment of BCP's ATMs by combining a predictive demand model with an optimization algorithm to maximize operational efficiency and minimize costs. ๐ก๐ฐ
The challenge was to optimize cash management in BCP's ATMs, ensuring cash availability for customers. Two key strategies were identified:
- Predicting cash demand. ๐
- Optimizing cash replenishment. โ๏ธ
After presenting our proposal to a jury composed of experts in management and data analytics, we are proud to have achieved second place in the competition! ๐ฅ
- Focus on the business problem: Concentrating on the real problem enriched our proposals and led to effective strategy design.
- Deep understanding of the context: Taking the time to understand the problem and its environment helped us formulate solutions tailored to the business reality.
- Data quality: Ensuring the integrity of the data used was essential for the reliability of our predictions and recommendations. ๐
The team responsible for developing this solution included:
