Point-of-Sale Event Streaming and Automated Replenishment Triggers: Real-Time Machine Learning Frameworks for Demand Forecasting and Inventory Optimisation
Keywords:
point-of-sale event streaming, automated replenishment triggers, real-time machine learning frameworks, demand forecastingAbstract
Demand forecasting and inventory replenishment are two important components of supply chain management that must evolve with the market. Accurate forecasting enables better planning decisions that help to minimize excess inventory levels as well as to meet customer demands in a timely and efficient manner. To date, traditional forecasting methods have contributed to the compiled forecasts for inventory replenishment.Downloads
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