Compression of LSTM models for Retail Edge deployments
There can be practical issues when it comes to deploying AI models in retail environments. Retail environments can include store-level systems, edge devices, and budget-conscious setups, especially for small to mid-sized retail companies. One such major use case is demand forecasting for inventory management or shelf optimization. It requires the model used to be small, … Read more