A manufacturing company that operates a network of local warehouses and retailers.
Data scientists, Machine learning engineers, software developers, PM
Python, Machine learning frameworks (TensorFlow, PyTorch), AWS, data visualization tools
About the project
The project involved the development of an AI-powered demand forecasting system for the client's manufacturing and distribution operations.
Inaccurate forecasting of customer demand posed challenges for the client, resulting in suboptimal inventory management, higher operational costs, and customer dissatisfaction arising from frequent stockouts.
Our team proposed the implementation of an AI-powered demand forecasting system. This system leveraged real-time data analysis and advanced machine learning algorithms to generate accurate demand forecasts. By considering various factors such as historical sales data, market trends, promotional activities, and external factors, the system provided timely and precise predictions.
Upon completion of the project, the client got
optimized inventory management
reduced operational costs associated with overstocking or stockouts
improved manpower planning
increased customer satisfaction level due to a reduced likelihood of encountering product unavailability