Gas Consumption Forecasting for Delivery Optimization

The optimization of logistics in gas distribution presents a significant strategic challenge, balancing operational efficiency with environmental sustainability. This thesis develops a predictive approach designed to accurately estimate when a customer’s gas cylinder will reach a critical depletion threshold. This prediction process aims to enable optimized deliveries, cost reduction, improved service quality, and minimized risk of interruptions for the end-user. The integration of predictive analytics with logistical strategies illustrate how innovation and sustainability may help to provide more efficient and responsible business procedures.