Background
Master Logistics, a leading logistics company in Dubai, needed a more reliable way to estimate freight rates. Manual forecasting methods made planning slower and less accurate in a highly dynamic market.
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Artificial intelligence is transforming logistics by improving routing, demand planning, and cost optimization across the supply chain. Shelter Technology partnered with Master Logistics to deliver a machine learning solution that brings data-driven freight rate forecasting into daily operations.
Master Logistics, a leading logistics company in Dubai, needed a more reliable way to estimate freight rates. Manual forecasting methods made planning slower and less accurate in a highly dynamic market.
The team faced inconsistent rate predictions, inefficient budget and capacity planning, and reduced competitiveness when bidding for new contracts. They required an intelligent model that could adapt to changing pricing drivers.
Shelter Technology conducted a full assessment of data sources, operational workflows, and forecasting requirements. We then delivered a tailored machine learning pipeline designed to predict freight rates accurately and support logistics planners with actionable, timely forecasts.
Data Collection: Compiled historical rate data from client contracts, fuel prices, customs duties, and weather datasets.
Data Pre-processing: Cleaned and normalized records by handling missing values, duplicate rows, and outliers.
Feature Engineering: Identified key freight pricing drivers and engineered features that improved model signal.
Model Development: Evaluated supervised learning models such as linear regression and random forest for forecasting.
Model Optimization: Tuned hyperparameters and validated model robustness to reach 92% prediction accuracy.
Model Testing: Validated prediction quality on unseen data to ensure reliability in real planning scenarios.
Integration and Deployment: Embedded the forecasting model into Master Logistics' transport management workflows.
Monitoring and Updates: Continuously tracked model quality and re-trained on fresh operational data.
Improved freight rate forecast accuracy by 23%.
Reduced fuel costs by 12% through better transportation planning.
Increased warehouse utilization by 27% with demand-aware scheduling.
Won 15 new clients in 6 months by providing faster and more competitive quotes.
If your logistics business is struggling with freight rate forecasting, Shelter Technology can help you build a custom AI-powered solution that improves accuracy, reduces costs, and strengthens decision making. Contact us to start your transformation.
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