Retail use case focuses on improving the product stocks, sales and customer insights- by gender, age, etc.. Retails stores also need data driven tools to plan, schedule and organize inventory and expenses for short term and long term profit.
Problem statements
- Which products get sold out frequently and how often to re-stock them?
- Which products can be offered at a discounted price and by how much?
- What is the amount of sales per city and per store? What is the average price & unit per transaction?
- Total no. of customers visiting and how does the customers’ age and gender play a role in the total items sold?
Key Machine Learning Models
- Product re-stocking index
- Probable discount rates
- Sales per store
- Sales per city
- Customer insights
- Expense tracking

Key Business KPIs
- Organize inventory
- Probable Discount offers for maximum profit
- Sales and revenues
- Customer insights
Data Sources
- SAP
- Point Of Sales (POS)
- Enterprise Resource Planning (ERP)
- Excel/CSV Report