Optimize Middle-Mile Logistics and Backhaul Routes

Generate truck-specific, regulation-compliant routes amenable to last-minute changes. Seamlessly integrate with your existing TMS and telematics platforms.

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Join the Ranks: Startups to Enterprises Trust Our Routing and Navigation Platform.

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Join the Ranks: Startups to Enterprises Trust Our Routing and Navigation Platform.

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Optimize Middle-Mile Logistics With NextBillion.ai

Advanced Route Optimization

Optimize routes to enhance fleet utilization and fit unique operational needs with over 50 routing constraints. Plan recurring routes while maintaining the flexibility to accommodate last-minute reoptimizations.

Intelligent Truck Routing

Get regulation-compliant routes for various types of trucks. Account for factors like truck type, weight and dimensions; type and weight of cargo; special permissions, and time- and vehicle-based restrictions.

Multi-Dimensional Capacity Planning

Plan for varying truck capacities and cargo types. Consider compatibility between vehicles and goods, optimize loads for multi-compartment trucks, ensure efficiency and resilience of cold chain logistics and more.

Order Grouping and Backhaul Routes

Improve routing and resource allocation by clustering orders based on parameters like proximity, travel time and distance. Optimize backhaul routes and reverse logistics with efficient route planning.

TMS and Telematics Integrations

Seamlessly integrate fleet tracking and routing data from and back into your existing telematics and TMS systems like Samsara, Geotab and ServiceNow.

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Address a Spectrum of Middle-Mile Logistics Challenges

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Recurring B2B Deliveries

Ensure timely, efficient deliveries to warehouses, sorting hubs and distribution centers.

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Backhaul Routing

Minimize wasted miles by planning jobs for empty delivery vehicles on their return trips.

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Reverse Logistics

Optimize the logistics of returning goods from end consumers to manufacturers.

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LTL Route Planning

Optimize transportation of partial load shipments to maximize efficiency and lower costs.

Why Choose NextBillion.ai for Middle-Mile Logistics?

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Comfort in
Complexity

NextBillion.ai specializes in handling complex, intricate operations and problems at scale.

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Customizable
Pricing

We offer asset-based, usage-based and custom pricing models. Pick what’s right for you.

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End-to-End
Solutions

Use our suite of complementary APIs, SDKs and modules to build reliable and scalable location solutions.

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Exceptional
Support

Our support team will be by your side at every step, from testing and integration to deployment and beyond.

Integrate Seamlessly With
Top Enterprise Clouds, ERPs and CRMs

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Frequently asked questions

Features

The solution leverages multi-dimensional capacity planning by generating optimized vehicle routes with over 50 customizable constraints such as vehicle type, weight, time-based restrictions and many more. Factors such as trucking capacity, cargo type & compatibility, location proximity are also kept into account while optimizing the resource allocation.

Features such as customizable route optimization, order grouping, Backhaul & Reverse Logistics, multi-compartment and cold chain management are kept into consideration to optimize load consolidation and minimize the transportation costs.

This could be achieved by planning backhaul routes with coordinating trips, dynamic route adjustments as well as order consolidation. If you have a specific use case which you want to discuss, feel free to talk to our experts.

The platform supports dynamic route adjustment via real-time data integration. This can be done seamlessly with AI-powered algorithms. It supports dynamic route adjustments based on inputs collected through continuous monitoring of traffic, weather, and delivery conditions. The platform re-calculates optimal routes based on changing demand, vehicle availability, and order priority. Additionally, it can incorporate unexpected disruptions or last-minute reverse logistics opportunities, making on-the-fly adjustments to ensure maximum efficiency.

Pricing

Various factors such as complexity of the routes, volume of shipments, distance traveled, vehicle types required, and any specialized needs such as cold chain logistics or reverse logistics play a significant role in deciding the pricing of middle-mile logistics. . The platform also accounts for constraints like fuel costs, real-time demand fluctuations, and backhaul opportunities to optimize pricing. Additionally, dynamic pricing models may be applied based on seasonality, peak demand periods, or traffic conditions, ensuring competitive and cost-effective solutions tailored to specific business needs.

Users can customize their pricing models according to factors like distance traveled, vehicle type, order volume, and real-time data integration. This includes options for pay-per-use models, subscription plans, or dynamic pricing based on demand and operational constraints. For more information, please feel free to get in touch with our experts.

Yes, there is a nominal fee for leveraging further advanced features such as private map edits or routing restrictions in your middle-mile logistics.

As companies expand their middle-mile logistics, they can adjust pricing based on increased order volume, route complexity, or additional vehicle types. The platform's modular features, such as private map edits or specialized routing, are available on-demand, allowing businesses to add functionality as needed without overcommitting to services they don't yet require.

Speed, Security and Scalability

The platform supports quick processing and delivery times in middle-mile logistics through real-time route optimization, dynamic routing adjustments, and telematics integration. .AI-powered algorithms help avoid delays by factoring in traffic, weather, and disruptions, while maximizing vehicle utilization with backhaul opportunities. These measures streamline operations and reduce transit times for faster deliveries.

NextBillion.ai offers quick adapting to fluctuating demand and expanding networks through flexible route optimization, real-time data processing, and modular features. It dynamically integrates more vehicles, routes, and locations as logistics grow, while its advanced algorithms adjust to increasing volumes and complexities.

This disruption can be supported through combining various features such as advanced route optimization, intelligent route planning, order grouping in real-time.

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