Compressing LSTM Models for Retail Edge Deployment: A Practical Comparison

This article discusses practical constraints for deploying AI models, specifically LSTM, in retail environments, emphasizing budget-conscious setups for small to medium-sized companies. It highlights demand forecasting for inventory management as a key use case requiring efficient model deployment on edge devices.