Demand Planner
Demand forecasting software for Best in Brands
Overview
Best in Brands one a global beauty retail company operating in different parts of the world. In their Bangladesh operation they have more than 250+ locations where they provide their products weather it’s their own outlets or other distributors.
One of their major problem while distributing inventory to all this location is that their calculation on future sales often goes wrong. This creates overstock or stock out situation at different places. Also sales target of different brunch managers influences this problem as well. To solve this we have provided them a demand planning software which helps them to plan their inventory distribution accurately by analyzing their previous sales data. We used machine learning and data mining for the forecasting
Service Provided
- Business Analysis
- Demand planning software
- AWS Cloud management
- Maintenance & Support
Technology / Tools
- Python
- Machine learning
- Maria DB
- React Native
- AWS
Data analyzation with machine learning
Analyze previous data to forecast future sales
Solved stock out and overstock issues
Made inventory distribution easy

Challenges
- 250+ Locations
- Not enough historical data
- Missing value in data, not validated
- Integration with existing system
Our solution
- Data validation done for missing values
- Demand planner software implemented
- analyzed historical data and prepare forecasting for future sales
- AWS implementation
- Training and Support