Demand forecasting is crucial for supply planning, optimization for material purchase, workforce, logistics, and pricing. Unfortunately, non-automated demand forecasting systems are slow and traditional models resulted in low performance. In the absence of demand planning, organizations in the energy industry will be exposed to low efficiency and high supply chain cost.
We develop AI-driven demand forecasting models to predict the demand with high accuracy. We aim to predict short- or long-term product-specific demand forecasting in the energy industry since predicting volume, timelines, and market demand will help manage economics and cost for new equipment, products, or processes.