Client
Retail sector
Techniques used
- Big data management
- Machine Learning
- Data automation
- Business analysis
- Web DevOp Data Visualization
- Cloud computing
Technology and tools
- Python
- Amazon Web Services
- Gurobi
- Flask
Requirement
Determine the optimal stores number, location and format to maximise the margin with the available resources.
Solution
Design and development of an ad hoc tool that, based on a Machine Learning optimization model, proposes the optimal stores footprint (number, location and format) and allows scenarios simulation.
Benefits
- Company’s strategic plans generation support: sales channel optimisation.
- Increase the number of potential customers in the stores influential area, resulting in a differential sales increase.