Autonomous Route Optimization & Planning (On-Demand)
Nexogen Integration for Kepler

AI-driven holistic Planning

Leverage AI to create comprehensive, holistic plans that consider all constraints, such as delivery times, capacity limits, and client-specific business rules. This ensures that every aspect of the operation is optimized for efficiency and compliance with organizational requirements.

Dynamic re-optimization

 Automatically re-optimize routes and schedules in response to real-time events like traffic delays, vehicle breakdowns, or last-minute order changes. This flexibility helps maintain operational flow, reducing disruptions and improving overall efficiency.

Predictive demand Forecasting

Utilize AI-powered predictive analytics to anticipate future demand based on historical data and current trends. This allows for proactive resource allocation, ensuring that vehicles, drivers, and inventory are available when needed, helping to prevent bottlenecks and optimize resource usage.

Nexogen leverages AI to optimize the planning of full truck loads (FTL) with a focus on meeting business rules and constraints. Its system helps logistics companies by providing smarter, faster, and scalable solutions, significantly improving cargo-to-truck planning.

The Nexogen platform dynamically re-optimizes plans based on real-time events, ensuring that the logistics operations adapt seamlessly to new conditions, minimizing delays and inefficiencies.

By using advanced predictive algorithms, Nexogen helps forecast demand more accurately. This allows for proactive resource allocation, improving both operational efficiency and customer satisfaction.

The platform is designed to manage fleets of over 10,000 trucks, handling large datasets and complex logistics challenges in under 5 minutes. This ensures scalability without compromising performance.

Nexogen's solutions help reduce transport times by up to 10% and fuel consumption by approximately 7%, lowering both operational costs and emissions.

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