Warehouse management
Machine learning can help streamline warehouse management by providing insights into inventory levels, stock availability, fulfillment rates, shipment time frames, and other essential metrics. While some companies use robotic process automation for this task, ML models are far superior as they can autonomously learn, improve and adapt over time without human involvement. With ML-driven automation systems in place, warehouses can become more efficient, and managers can eliminate manual errors that lead to delays or lost shipments.