Case study · E-commerce
How a Consumer Brand Built Demand Forecasting with a Dedicated Data Scientist
Stockouts and overstock were costing the brand money. A data scientist brought forecasting discipline.
Illustrative engagement scenario — names and details are representative of typical client situations.
- Client
- Consumer products brand
- Industry
- E-commerce
- Location
- Canada
- Roles hired
- 1 data scientist
- Engagement
- Full-time, ongoing
Onetrusted sales dashboard
SKU-leveldemand forecasts
Monthlyforecast accuracy reviews
The challenge
Inventory decisions relied on spreadsheets and intuition, causing stockouts on bestsellers and overstock on slow items.
The solution
A dedicated data scientist unified sales data, built a trusted dashboard and created SKU-level demand forecasts with seasonality, reviewed monthly with the operations team.
Phases
- Data clean-up and single source of truth.
- Dashboard for sales and inventory.
- Forecast models and scenario planning.
Lessons
Trusted data had to come before forecasting.
See data scientists.
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