BluePi’s proprietary methodology of Demand Planning would add a minimum 5% to your bottom-line by finding the right amount of inventory to carry to ensure both stock outs and Excess Inventory is minimized. Our supply chain solutions driven by AI algorithms perfected for different retail formats like multi-format, grocery, apparel among others
Optimizing markdowns entails a complex decision science to mitigate the impact it can have on your bottom-line.
The forecast horizons are tuned to align with the procurement cycles to ensure the use of all available data and yet provide enough head room for logistics.
While the customer demand at each store is independent of each other lack of proper stocks means unmet sales and lost revenue. opportunities.
Shelf-out-of-stock is one of the leading motivations of technology innovation in Retail sector.
Overstocking & stock-outs Using this system, the stores don’t have to rely on in-store manager’s intuition and instead use Artificial Intelligence.
A mix of AWS infra and services like S3, Kinesis, Redshift, Redis with cutting-edge technologies like, Storm were used to build the solution.
Things To Know About Artificial Intelligence For Supply Chain Management
Demand forecasting is a segment of predictive analytics that uses data to understand and predict customer demand.
Manufacturers across different industries are losing trillions of dollars in productivity each year.
