3rd Floor, 86-90 Paul Street, London EC2A 4NE
0330 001 0803
Retail Unit Closures
Summary
The client needed a retail management solution to oversee store collections.
They wanted to predict whether a retail unit would close or stay open. We treated it as a classification problem.
The data included demographic features, geographic features, store categories and more.
Project Plan
Thanks to a clear roadmap that was agreed upon with the client, we were able to deliver within the budget.
Key Points
We encountered several challenges while delivering the solution to the client, including:
- High volume of data in a remote Microsoft SQL Server
- Improve model despite lack of positives in dataset
- Create a solution in our Azure tenant that can run on the Client’s side - Utilisation of Azure Data Factory, CI/CD and Azure ML services...
- Delivery within budget
Business Value
Using the productionised model and its predictions, our client was able to:
- Display likelihood of closure for each store on their website
- Enrich the data they already had available
- This data could then be sold on to third parties
Contact
© 2023 Oscore loves ML