PLAN-D Driving Efficiency Across the Supply Chain
The next-generation Route Optimization engine powered by Artificial Intelligence. Forecast demand, optimize paths, and execute deliveries with machine learning precision.
PLAN-D goes beyond simple A-to-B routing. It uses historical data and real-time constraints to predict delays, balance fleet capacity, and continuously learn from every trip.
Use Plan-D as a dedicated route optimization engine independent of your current TMS.
Plug it into LogiMaster TMS or any third-party ERP via our robust API for unified operations.
From the first order to the final insight, Plan-D manages every millisecond of the delivery process.
Effective logistics begins with smart planning. Route optimization starts by forecasting demand, mapping zones, and scheduling resources. This ensures that deliveries align with business priorities and customer expectations.
Use advanced AI algorithms to identify the most efficient delivery paths. Consider real-time data like traffic, weather, and vehicle constraints to reduce travel time, fuel costs, and carbon emissions.
Smart dispatching matches the right driver to the right delivery based on skill, location, and capacity. Drivers receive digital route instructions, ensuring alignment and quick response.
Organize loading based on route sequence to prevent re-handling and minimize delays. Digitally guided loading processes reduce human error and maximize vehicle space utilization.
Live monitoring tracks every vehicle and delivery in real time. Highlights deviations, prevents delays, and triggers alerts for unauthorized stops or late deliveries.
Drivers follow the planned sequence for timely drop-offs. Electronic Proof of Delivery (ePOD) captures signatures, photos, and timestamps instantly.
Confirm delivery with digital proofs like GPS tags and customer signatures. Log failed deliveries with reasons to maintain service quality and data integrity.
Analyze route and delivery data to uncover operational insights. Visualize on-time performance, fuel usage, and route efficiency through intuitive dashboards.
The AI loop: Models analyze patterns in delivery times and driver performance to predict optimal routes and identify risks, continuously retraining for better decision-making.