A leading transportation and logistics company partnered with Polygant to improve operational efficiency and reduce costs through AI-powered digital transformation.
The client managed hundreds of delivery routes daily and relied heavily on manual planning — resulting in empty runs, delays, and higher operational expenses..
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The company needed to:
Improve demand forecasting accuracy.
Reduce empty mileage and optimize fleet utilization.
Automate route planning in real time.
Integrate the new system with existing ERP and transport management platforms.
Provide dispatchers and logistics managers with intuitive dashboards and KPI visualization.
Polygant developed an AI-driven optimization platform that forecasts demand, automates route planning, and provides real-time analytics.
The solution consisted of three key modules:
AI Demand Forecasting
A machine learning model analyzed historical shipment data, seasonality, weather conditions, and market trends to accurately predict demand across regions.
Smart Route Optimization
Advanced combinatorial optimization and heuristic algorithms dynamically adjusted delivery routes, minimizing empty runs and maximizing fleet efficiency.
Integration & Visualization
The system was seamlessly integrated with the client’s ERP and transport monitoring platforms via REST API.
A real-time dashboard enabled managers to track performance, detect bottlenecks, and make data-driven decisions faster.
–25% reduction in empty mileage, lowering fuel and maintenance costs.
+20% faster deliveries, improving customer satisfaction.
Over ₽15 million saved in the first year of implementation.
Full visibility and agility, enabling proactive operational management.
The project became a benchmark for AI-powered logistics transformation.
By leveraging predictive analytics and intelligent automation, the company moved from reactive management to data-driven decision-making — boosting performance, transparency, and competitiveness.