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CLIENT
A manufacturing company that operates a network of local warehouses and retailers.
TEAM
Data scientists, Machine learning engineers, software developers, PM
INDUSTRY
Logistics
TECHNOLOGIES
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.
Challenge
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.
Solution
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.
Impact
Upon completion of the project, the client got
01
optimized inventory management
02
reduced operational costs associated with overstocking or stockouts
03
improved manpower planning
04
increased customer satisfaction level due to a reduced likelihood of encountering product unavailability
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