<ul><li>The wastage of perishable items has led to significant health and economic crises, increasing business uncertainty and fluctuating customer demand.</li><li>Accurate demand forecasting helps stabilize inventory, optimize supplier orders, and reduce waste.</li><li>A Third-Party Logistics (3PL) supply chain model involving restaurants, online food apps, and customers is presented.</li><li>A deep learning-based demand forecasting model using a two-phase Long Short-Term Memory (LSTM) network is proposed to combat the bullwhip effect in online food delivery platforms.</li></ul>

Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning

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