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ITRI_Fleet Capacity Scheduling and Management Platform
Optimizing Logistics Distribution Areas Based on Geographical Location
Optimize manpower allocation by determining distribution areas based on geographical location. Simultaneously, enhance delivery efficiency through algorithmic planning of the optimal delivery routes.
AI-Driven Delivery Vehicle Assignment and Route Optimization
Traditionally, logistics operators manually arrange transportation vehicles and allow delivery drivers to decide the delivery sequence. By utilizing AI algorithms for vehicle assignment and optimal route planning, we replace manual vehicle scheduling with system-calculated results. This reduces reliance on human experience and scheduling time, accelerates shipment operations, and ensures timely and accurate delivery to customers.
Key Features of Our Produces:
1. Comprehensive Delivery Scheduling Decisions: Allocate orders to vehicles, determine delivery sequences and driving routes, supporting over 10,000 delivery points.
2. Flexible Vehicle Allocation Logic: Utilize all vehicles and evenly distribute delivery points, minimizing the number of vehicles needed.
3. Multiple Delivery Time Constraints: Provide settings for allowable and non-allowable delivery times.
4. Integration with Various Mapping Systems: Compatible with OSRM, Here map (vehicle type consideration), and Google map (traffic condition consideration).
5. Integration of Upstream and Downstream Operations: Offer vehicle loading sequence and warehouse picking sequence guidance.
Optimize manpower allocation by determining distribution areas based on geographical location. Simultaneously, enhance delivery efficiency through algorithmic planning of the optimal delivery routes.
AI-Driven Delivery Vehicle Assignment and Route Optimization
Traditionally, logistics operators manually arrange transportation vehicles and allow delivery drivers to decide the delivery sequence. By utilizing AI algorithms for vehicle assignment and optimal route planning, we replace manual vehicle scheduling with system-calculated results. This reduces reliance on human experience and scheduling time, accelerates shipment operations, and ensures timely and accurate delivery to customers.
Key Features of Our Produces:
1. Comprehensive Delivery Scheduling Decisions: Allocate orders to vehicles, determine delivery sequences and driving routes, supporting over 10,000 delivery points.
2. Flexible Vehicle Allocation Logic: Utilize all vehicles and evenly distribute delivery points, minimizing the number of vehicles needed.
3. Multiple Delivery Time Constraints: Provide settings for allowable and non-allowable delivery times.
4. Integration with Various Mapping Systems: Compatible with OSRM, Here map (vehicle type consideration), and Google map (traffic condition consideration).
5. Integration of Upstream and Downstream Operations: Offer vehicle loading sequence and warehouse picking sequence guidance.
Intelligent Delivery Route Planning
By inputting delivery vehicle and point data, and based on real-time traffic information, our system makes decisions on delivery point clustering, delivery sequence, and driving routes. This enables us to provide route planning suggestions aimed at achieving the shortest time, shortest distance, and minimized number of vehicles.
Key Benefits:
1. Reduce Route Planning Labor Time: Cut route planning labor hours by over 50%. Manual adjustments to routes can be made if necessary.
2. Increase Delivery Efficiency: Improve delivery efficiency by over 25%.
3. Reduce costs by over 25%, including fuel, personnel training, and other expenses.
4. Achieve delivery time accuracy with a margin of error within ±2 minutes.
By inputting delivery vehicle and point data, and based on real-time traffic information, our system makes decisions on delivery point clustering, delivery sequence, and driving routes. This enables us to provide route planning suggestions aimed at achieving the shortest time, shortest distance, and minimized number of vehicles.
Key Benefits:
1. Reduce Route Planning Labor Time: Cut route planning labor hours by over 50%. Manual adjustments to routes can be made if necessary.
2. Increase Delivery Efficiency: Improve delivery efficiency by over 25%.
3. Reduce costs by over 25%, including fuel, personnel training, and other expenses.
4. Achieve delivery time accuracy with a margin of error within ±2 minutes.
