AI Route Optimization Agent
Cut transportation costs while improving service levels
Cut transportation costs while improving service levels
V7 Go's route optimization agent analyzes shipping patterns, delivery requirements, and vehicle constraints to create efficient transportation plans. Reduce planning time by 80% while cutting transportation costs by 12-18%.
Why V7 Go
Why V7 Go
Route Analysis
Analyze existing routes and historical shipping patterns to identify inefficiencies, unnecessary mileage, and improvement opportunities. Process thousands of delivery points and constraints to determine optimal transport sequences.
Route Analysis
Analyze existing routes and historical shipping patterns to identify inefficiencies, unnecessary mileage, and improvement opportunities. Process thousands of delivery points and constraints to determine optimal transport sequences.
Route Analysis
Analyze existing routes and historical shipping patterns to identify inefficiencies, unnecessary mileage, and improvement opportunities. Process thousands of delivery points and constraints to determine optimal transport sequences.
Efficiency Assessment
Evaluate route efficiency based on distance, time, fuel consumption, vehicle utilization, and service level performance. Compare actual versus optimal routing to quantify savings opportunities and prioritize improvements.
Efficiency Assessment
Evaluate route efficiency based on distance, time, fuel consumption, vehicle utilization, and service level performance. Compare actual versus optimal routing to quantify savings opportunities and prioritize improvements.
Efficiency Assessment
Evaluate route efficiency based on distance, time, fuel consumption, vehicle utilization, and service level performance. Compare actual versus optimal routing to quantify savings opportunities and prioritize improvements.
Timeline Optimization
Optimize delivery and pickup schedules to reduce transit times while accounting for dock scheduling, delivery windows, driver hours, and facility operating hours. Balance speed with efficiency to meet service requirements at minimum cost.
Timeline Optimization
Optimize delivery and pickup schedules to reduce transit times while accounting for dock scheduling, delivery windows, driver hours, and facility operating hours. Balance speed with efficiency to meet service requirements at minimum cost.
Timeline Optimization
Optimize delivery and pickup schedules to reduce transit times while accounting for dock scheduling, delivery windows, driver hours, and facility operating hours. Balance speed with efficiency to meet service requirements at minimum cost.
Capacity Planning
Maximize vehicle and container utilization by optimizing load configurations, considering dimensional constraints, weight limits, product compatibility, and stacking requirements. Reduce the number of vehicles required while maintaining service levels.
Capacity Planning
Maximize vehicle and container utilization by optimizing load configurations, considering dimensional constraints, weight limits, product compatibility, and stacking requirements. Reduce the number of vehicles required while maintaining service levels.
Capacity Planning
Maximize vehicle and container utilization by optimizing load configurations, considering dimensional constraints, weight limits, product compatibility, and stacking requirements. Reduce the number of vehicles required while maintaining service levels.
Multi-Modal Planning
Create efficient transportation plans across multiple modes including truckload, LTL, parcel, ocean, air, and rail. Identify optimal mode selection based on cost, transit time, and capacity requirements for each shipment.
Multi-Modal Planning
Create efficient transportation plans across multiple modes including truckload, LTL, parcel, ocean, air, and rail. Identify optimal mode selection based on cost, transit time, and capacity requirements for each shipment.
Multi-Modal Planning
Create efficient transportation plans across multiple modes including truckload, LTL, parcel, ocean, air, and rail. Identify optimal mode selection based on cost, transit time, and capacity requirements for each shipment.
Dynamic Re-Routing
Adjust routes in real-time to accommodate disruptions such as traffic congestion, weather events, equipment breakdowns, and last-minute order changes. Maintain service levels while minimizing the impact of unexpected events.
Dynamic Re-Routing
Adjust routes in real-time to accommodate disruptions such as traffic congestion, weather events, equipment breakdowns, and last-minute order changes. Maintain service levels while minimizing the impact of unexpected events.
Dynamic Re-Routing
Adjust routes in real-time to accommodate disruptions such as traffic congestion, weather events, equipment breakdowns, and last-minute order changes. Maintain service levels while minimizing the impact of unexpected events.
Why V7 Go
Documents processed by the Route Optimization Agent
Key data analyzed during route optimization
Workflow
Workflow
Import your files
JDA/Blue Yonder
,
Manhattan Associates
,
MercuryGate
Order Files and Manifests
Order Files and Manifests
Order Files and Manifests
Order Files and Manifests
Delivery Requirement Sheets
Delivery Requirement Sheets
Delivery Requirement Sheets
Delivery Requirement Sheets
Vehicle Specification Documents
Vehicle Specification Documents
Vehicle Specification Documents
Vehicle Specification Documents
Driver Availability Records
Driver Availability Records
Driver Availability Records
Driver Availability Records
Facility Operating Hours
Facility Operating Hours
Facility Operating Hours
Facility Operating Hours
Historical Route Performance
Historical Route Performance
Historical Route Performance
Historical Route Performance
Origin and destination locations
Origin and destination locations
Origin and destination locations
Origin and destination locations
Delivery time windows and appointment times
Delivery time windows and appointment times
Delivery time windows and appointment times
Delivery time windows and appointment times
Vehicle capacities and restrictions
Vehicle capacities and restrictions
Vehicle capacities and restrictions
Vehicle capacities and restrictions
Product dimensions and characteristics
Product dimensions and characteristics
Product dimensions and characteristics
Product dimensions and characteristics
Driver hours of service and qualifications
Driver hours of service and qualifications
Driver hours of service and qualifications
Driver hours of service and qualifications
Distance and transit time matrices
Distance and transit time matrices
Distance and transit time matrices
Distance and transit time matrices
Facility constraints and operating hours
Facility constraints and operating hours
Facility constraints and operating hours
Facility constraints and operating hours
Traffic patterns and historical delays
Traffic patterns and historical delays
Traffic patterns and historical delays
Traffic patterns and historical delays
Service level requirements by customer
Service level requirements by customer
Service level requirements by customer
Service level requirements by customer
Fuel efficiency factors by route and vehicle
Fuel efficiency factors by route and vehicle
Fuel efficiency factors by route and vehicle
Fuel efficiency factors by route and vehicle
Time comparison
Time comparison
Time comparison
Time comparison
Traditional way
5-7 hours per planning cycle
5-7 hours per planning cycle
With V7 Go agents
45-60 minutes per planning cycle
45-60 minutes per planning cycle
Average time saved
80-85%
80-85%
V7 Go
V7 Go
V7 Go
V7 Go
AI-powered solutions
for logistics professionals
Logistics planners waste 10+ hours weekly manually plotting delivery routes, calculating optimal stop sequences, and adjusting schedules to accommodate real-world constraints. This labor-intensive process leads to excessive fuel consumption, missed delivery windows, and underutilized assets that increase transportation costs by 15-25%. V7 Go's route optimization agent analyzes shipping routes, vehicle capacities, and delivery requirements to generate efficient route plans with every recommendation linked directly to supporting data.
Transportation Planners
Create optimal route plans in minutes instead of hours. Balance efficiency, service levels, and constraints to maximize the productivity of your transportation assets.
Transportation Planners
Create optimal route plans in minutes instead of hours. Balance efficiency, service levels, and constraints to maximize the productivity of your transportation assets.
Transportation Planners
Create optimal route plans in minutes instead of hours. Balance efficiency, service levels, and constraints to maximize the productivity of your transportation assets.
Transportation Planners
Create optimal route plans in minutes instead of hours. Balance efficiency, service levels, and constraints to maximize the productivity of your transportation assets.
Logistics Network Managers
Optimize your entire transportation network across modes, lanes, and facilities. Identify strategic opportunities to reduce costs while maintaining or improving service levels.
Logistics Network Managers
Optimize your entire transportation network across modes, lanes, and facilities. Identify strategic opportunities to reduce costs while maintaining or improving service levels.
Logistics Network Managers
Optimize your entire transportation network across modes, lanes, and facilities. Identify strategic opportunities to reduce costs while maintaining or improving service levels.
Logistics Network Managers
Optimize your entire transportation network across modes, lanes, and facilities. Identify strategic opportunities to reduce costs while maintaining or improving service levels.
FAQ
FAQ
FAQ
FAQ
Have questions?
Find answers.
How does the route optimization agent handle complex delivery constraints?
The agent incorporates multiple constraint types including time windows, vehicle-specific restrictions, driver qualifications, product compatibility, and service level agreements. It processes special requirements such as HAZMAT certifications, temperature control needs, and equipment specifications. For location-specific constraints, the system accounts for delivery appointment times, facility operating hours, and dock door limitations. The agent uses constraint relaxation techniques when necessary, identifying which constraints can be flexed to achieve feasible solutions when all requirements can't be satisfied simultaneously. This comprehensive approach ensures optimized routes that work in real-world conditions, not just theoretical scenarios.
+
How does the route optimization agent handle complex delivery constraints?
The agent incorporates multiple constraint types including time windows, vehicle-specific restrictions, driver qualifications, product compatibility, and service level agreements. It processes special requirements such as HAZMAT certifications, temperature control needs, and equipment specifications. For location-specific constraints, the system accounts for delivery appointment times, facility operating hours, and dock door limitations. The agent uses constraint relaxation techniques when necessary, identifying which constraints can be flexed to achieve feasible solutions when all requirements can't be satisfied simultaneously. This comprehensive approach ensures optimized routes that work in real-world conditions, not just theoretical scenarios.
+
How does the route optimization agent handle complex delivery constraints?
The agent incorporates multiple constraint types including time windows, vehicle-specific restrictions, driver qualifications, product compatibility, and service level agreements. It processes special requirements such as HAZMAT certifications, temperature control needs, and equipment specifications. For location-specific constraints, the system accounts for delivery appointment times, facility operating hours, and dock door limitations. The agent uses constraint relaxation techniques when necessary, identifying which constraints can be flexed to achieve feasible solutions when all requirements can't be satisfied simultaneously. This comprehensive approach ensures optimized routes that work in real-world conditions, not just theoretical scenarios.
+
How does the route optimization agent handle complex delivery constraints?
The agent incorporates multiple constraint types including time windows, vehicle-specific restrictions, driver qualifications, product compatibility, and service level agreements. It processes special requirements such as HAZMAT certifications, temperature control needs, and equipment specifications. For location-specific constraints, the system accounts for delivery appointment times, facility operating hours, and dock door limitations. The agent uses constraint relaxation techniques when necessary, identifying which constraints can be flexed to achieve feasible solutions when all requirements can't be satisfied simultaneously. This comprehensive approach ensures optimized routes that work in real-world conditions, not just theoretical scenarios.
+
Can the agent optimize multi-stop truckload routes with backhauls and continuous moves?
Yes, the agent excels at complex multi-stop route optimization, including backhaul coordination and continuous move planning. It analyzes your complete shipment network to identify opportunities for empty mile reduction between delivery and pickup points. The system can create continuous move circuits that maximize driver and asset utilization while meeting all delivery requirements. When optimizing multi-customer consolidation routes, it balances individual customer priorities with overall network efficiency. Customers typically reduce empty miles by 30-40% and improve asset utilization by 15-20% through these advanced network optimization capabilities.
+
Can the agent optimize multi-stop truckload routes with backhauls and continuous moves?
Yes, the agent excels at complex multi-stop route optimization, including backhaul coordination and continuous move planning. It analyzes your complete shipment network to identify opportunities for empty mile reduction between delivery and pickup points. The system can create continuous move circuits that maximize driver and asset utilization while meeting all delivery requirements. When optimizing multi-customer consolidation routes, it balances individual customer priorities with overall network efficiency. Customers typically reduce empty miles by 30-40% and improve asset utilization by 15-20% through these advanced network optimization capabilities.
+
Can the agent optimize multi-stop truckload routes with backhauls and continuous moves?
Yes, the agent excels at complex multi-stop route optimization, including backhaul coordination and continuous move planning. It analyzes your complete shipment network to identify opportunities for empty mile reduction between delivery and pickup points. The system can create continuous move circuits that maximize driver and asset utilization while meeting all delivery requirements. When optimizing multi-customer consolidation routes, it balances individual customer priorities with overall network efficiency. Customers typically reduce empty miles by 30-40% and improve asset utilization by 15-20% through these advanced network optimization capabilities.
+
Can the agent optimize multi-stop truckload routes with backhauls and continuous moves?
Yes, the agent excels at complex multi-stop route optimization, including backhaul coordination and continuous move planning. It analyzes your complete shipment network to identify opportunities for empty mile reduction between delivery and pickup points. The system can create continuous move circuits that maximize driver and asset utilization while meeting all delivery requirements. When optimizing multi-customer consolidation routes, it balances individual customer priorities with overall network efficiency. Customers typically reduce empty miles by 30-40% and improve asset utilization by 15-20% through these advanced network optimization capabilities.
+
How does the route optimization agent account for variability in transit times?
The agent incorporates multiple sources of variability data including historical performance by lane, time of day, day of week, and seasonal factors. It analyzes traffic patterns, construction impacts, and weather forecasts to predict realistic transit times rather than relying on standard mileage-based estimates. The system builds appropriate buffers into schedules based on statistical analysis of historical variance, with larger buffers for lanes with higher variability. This approach ensures that routes remain feasible even when conditions aren't ideal, striking the right balance between aggressive schedules and reliable service. For critical shipments, the agent can generate alternate routing options with different reliability profiles, allowing human planners to make informed risk-based decisions.
+
How does the route optimization agent account for variability in transit times?
The agent incorporates multiple sources of variability data including historical performance by lane, time of day, day of week, and seasonal factors. It analyzes traffic patterns, construction impacts, and weather forecasts to predict realistic transit times rather than relying on standard mileage-based estimates. The system builds appropriate buffers into schedules based on statistical analysis of historical variance, with larger buffers for lanes with higher variability. This approach ensures that routes remain feasible even when conditions aren't ideal, striking the right balance between aggressive schedules and reliable service. For critical shipments, the agent can generate alternate routing options with different reliability profiles, allowing human planners to make informed risk-based decisions.
+
How does the route optimization agent account for variability in transit times?
The agent incorporates multiple sources of variability data including historical performance by lane, time of day, day of week, and seasonal factors. It analyzes traffic patterns, construction impacts, and weather forecasts to predict realistic transit times rather than relying on standard mileage-based estimates. The system builds appropriate buffers into schedules based on statistical analysis of historical variance, with larger buffers for lanes with higher variability. This approach ensures that routes remain feasible even when conditions aren't ideal, striking the right balance between aggressive schedules and reliable service. For critical shipments, the agent can generate alternate routing options with different reliability profiles, allowing human planners to make informed risk-based decisions.
+
How does the route optimization agent account for variability in transit times?
The agent incorporates multiple sources of variability data including historical performance by lane, time of day, day of week, and seasonal factors. It analyzes traffic patterns, construction impacts, and weather forecasts to predict realistic transit times rather than relying on standard mileage-based estimates. The system builds appropriate buffers into schedules based on statistical analysis of historical variance, with larger buffers for lanes with higher variability. This approach ensures that routes remain feasible even when conditions aren't ideal, striking the right balance between aggressive schedules and reliable service. For critical shipments, the agent can generate alternate routing options with different reliability profiles, allowing human planners to make informed risk-based decisions.
+
Can the route optimization agent integrate with our existing transportation management systems?
Yes, the agent integrates with major transportation management systems (TMS) including Manhattan, JDA/Blue Yonder, SAP TM, Oracle Transportation Management, and MercuryGate. It can pull order and equipment data from these systems and push optimized routes and load plans back into your operational workflows. The API supports connections to fleet management platforms, warehouse management systems, and customer ordering systems to create end-to-end optimization. Most customers implement their first integration within 2-3 weeks using our pre-built connectors, with complete workflow automation typically achieved within 4-6 weeks based on system complexity.
+
Can the route optimization agent integrate with our existing transportation management systems?
Yes, the agent integrates with major transportation management systems (TMS) including Manhattan, JDA/Blue Yonder, SAP TM, Oracle Transportation Management, and MercuryGate. It can pull order and equipment data from these systems and push optimized routes and load plans back into your operational workflows. The API supports connections to fleet management platforms, warehouse management systems, and customer ordering systems to create end-to-end optimization. Most customers implement their first integration within 2-3 weeks using our pre-built connectors, with complete workflow automation typically achieved within 4-6 weeks based on system complexity.
+
Can the route optimization agent integrate with our existing transportation management systems?
Yes, the agent integrates with major transportation management systems (TMS) including Manhattan, JDA/Blue Yonder, SAP TM, Oracle Transportation Management, and MercuryGate. It can pull order and equipment data from these systems and push optimized routes and load plans back into your operational workflows. The API supports connections to fleet management platforms, warehouse management systems, and customer ordering systems to create end-to-end optimization. Most customers implement their first integration within 2-3 weeks using our pre-built connectors, with complete workflow automation typically achieved within 4-6 weeks based on system complexity.
+
Can the route optimization agent integrate with our existing transportation management systems?
Yes, the agent integrates with major transportation management systems (TMS) including Manhattan, JDA/Blue Yonder, SAP TM, Oracle Transportation Management, and MercuryGate. It can pull order and equipment data from these systems and push optimized routes and load plans back into your operational workflows. The API supports connections to fleet management platforms, warehouse management systems, and customer ordering systems to create end-to-end optimization. Most customers implement their first integration within 2-3 weeks using our pre-built connectors, with complete workflow automation typically achieved within 4-6 weeks based on system complexity.
+
What measurable benefits can we expect from implementing the route optimization agent?
Customers typically achieve transportation cost reductions of 12-18% through multiple efficiency improvements including 8-10% reduction in total miles driven, 15-20% decrease in total vehicles required, 30-40% reduction in empty miles, and 25-35% decrease in overtime and detention costs. Beyond direct cost savings, service improvements include 15-25% reduction in late deliveries, 40-50% decrease in missed delivery windows, and 5-8% improvement in on-time delivery performance. Planning efficiency also improves dramatically, with 80-85% reduction in time spent creating and modifying route plans, allowing logistics professionals to focus on strategic initiatives rather than tactical route building. The exact benefits depend on your current processes, network complexity, and operational constraints.
+
What measurable benefits can we expect from implementing the route optimization agent?
Customers typically achieve transportation cost reductions of 12-18% through multiple efficiency improvements including 8-10% reduction in total miles driven, 15-20% decrease in total vehicles required, 30-40% reduction in empty miles, and 25-35% decrease in overtime and detention costs. Beyond direct cost savings, service improvements include 15-25% reduction in late deliveries, 40-50% decrease in missed delivery windows, and 5-8% improvement in on-time delivery performance. Planning efficiency also improves dramatically, with 80-85% reduction in time spent creating and modifying route plans, allowing logistics professionals to focus on strategic initiatives rather than tactical route building. The exact benefits depend on your current processes, network complexity, and operational constraints.
+
What measurable benefits can we expect from implementing the route optimization agent?
Customers typically achieve transportation cost reductions of 12-18% through multiple efficiency improvements including 8-10% reduction in total miles driven, 15-20% decrease in total vehicles required, 30-40% reduction in empty miles, and 25-35% decrease in overtime and detention costs. Beyond direct cost savings, service improvements include 15-25% reduction in late deliveries, 40-50% decrease in missed delivery windows, and 5-8% improvement in on-time delivery performance. Planning efficiency also improves dramatically, with 80-85% reduction in time spent creating and modifying route plans, allowing logistics professionals to focus on strategic initiatives rather than tactical route building. The exact benefits depend on your current processes, network complexity, and operational constraints.
+
What measurable benefits can we expect from implementing the route optimization agent?
Customers typically achieve transportation cost reductions of 12-18% through multiple efficiency improvements including 8-10% reduction in total miles driven, 15-20% decrease in total vehicles required, 30-40% reduction in empty miles, and 25-35% decrease in overtime and detention costs. Beyond direct cost savings, service improvements include 15-25% reduction in late deliveries, 40-50% decrease in missed delivery windows, and 5-8% improvement in on-time delivery performance. Planning efficiency also improves dramatically, with 80-85% reduction in time spent creating and modifying route plans, allowing logistics professionals to focus on strategic initiatives rather than tactical route building. The exact benefits depend on your current processes, network complexity, and operational constraints.
+
How does the agent balance cost optimization with service level requirements?
The route optimization agent employs multi-objective optimization algorithms that balance competing priorities based on your specific business rules. You can configure the relative importance of different factors including transportation cost, on-time delivery performance, driver/equipment utilization, and customer service levels. The system allows different weightings for different customer segments, recognizing that premium customers may warrant higher service levels even at increased cost. For critical shipments, you can establish hard constraints that must be met regardless of cost implications. This flexible approach ensures that optimization aligns with your business strategy rather than blindly minimizing transportation costs at the expense of customer satisfaction or other strategic objectives.
+
How does the agent balance cost optimization with service level requirements?
The route optimization agent employs multi-objective optimization algorithms that balance competing priorities based on your specific business rules. You can configure the relative importance of different factors including transportation cost, on-time delivery performance, driver/equipment utilization, and customer service levels. The system allows different weightings for different customer segments, recognizing that premium customers may warrant higher service levels even at increased cost. For critical shipments, you can establish hard constraints that must be met regardless of cost implications. This flexible approach ensures that optimization aligns with your business strategy rather than blindly minimizing transportation costs at the expense of customer satisfaction or other strategic objectives.
+
How does the agent balance cost optimization with service level requirements?
The route optimization agent employs multi-objective optimization algorithms that balance competing priorities based on your specific business rules. You can configure the relative importance of different factors including transportation cost, on-time delivery performance, driver/equipment utilization, and customer service levels. The system allows different weightings for different customer segments, recognizing that premium customers may warrant higher service levels even at increased cost. For critical shipments, you can establish hard constraints that must be met regardless of cost implications. This flexible approach ensures that optimization aligns with your business strategy rather than blindly minimizing transportation costs at the expense of customer satisfaction or other strategic objectives.
+
How does the agent balance cost optimization with service level requirements?
The route optimization agent employs multi-objective optimization algorithms that balance competing priorities based on your specific business rules. You can configure the relative importance of different factors including transportation cost, on-time delivery performance, driver/equipment utilization, and customer service levels. The system allows different weightings for different customer segments, recognizing that premium customers may warrant higher service levels even at increased cost. For critical shipments, you can establish hard constraints that must be met regardless of cost implications. This flexible approach ensures that optimization aligns with your business strategy rather than blindly minimizing transportation costs at the expense of customer satisfaction or other strategic objectives.
+
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Next steps
Transform route planning from art to science
Join logistics leaders cutting transportation costs by 12-18% through AI-powered route optimization
You’ll hear back in less than 24 hours
Next steps
Transform route planning from art to science
Join logistics leaders cutting transportation costs by 12-18% through AI-powered route optimization
You’ll hear back in less than 24 hours
Next steps
Transform route planning from art to science
Join logistics leaders cutting transportation costs by 12-18% through AI-powered route optimization
You’ll hear back in less than 24 hours
Next steps
Transform route planning from art to science
Join logistics leaders cutting transportation costs by 12-18% through AI-powered route optimization