Shell Price Prediction Model

The Shell Price Prediction Model is an AI-powered forecasting engine developed by The Software House to help Shell anticipate petroleum price shifts in Pakistan. As fuel prices in the country are revised every 15 days, the model uses a combination of historical price data, global crude oil trends, exchange rates, and taxation policies to generate accurate, data-driven price forecasts for petrol and diesel products.

Built using advanced machine learning algorithms and trained on years of economic, fuel, and geopolitical data, the model provides Shell with actionable insights that support internal planning, inventory alignment, and pricing strategy. The predictions are generated ahead of each official price update cycle, giving Shell?s operations and finance teams a significant edge in proactive decision-making. The system also flags anomaly risks and offers confidence intervals for each prediction to improve accuracy and risk management.

To make the model easy to use, we integrated it into a simple dashboard interface, where authorized managers can view upcoming price forecasts, historical performance, and contributing data signals. This AI solution has transformed Shell's traditional forecasting into a smart, automated, and transparent process ? allowing for quicker alignment between business strategy and market dynamics.


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