Why Choose NextBillion.ai’s Route Optimization API?
Handles diverse routing challenges, like routes for multiple vehicles, managing vehicle capacity constraints, and accounting for time windows.
Effortlessly manages constraints, like time-dependent travel times, job schedules, ad-hoc and real-time re-routes, worker skills, and service duration.
A streamlined and adaptable API that seamlessly integrates with your tech stack, boosting system efficiency and performance, like other advanced features.
Key Features of Our Route Optimization Tool
More than 50+ parameters to accommodate your business constraints
Optimize jobs with time-windows and constraints like maximum overtime, required skills and priorities.
Optimize routes to account for either shorter distance or minimum time taken.
Generate specific departure time windows based on historical traffic data.
Request a DemoHighly accurate ETAs and routes
Get optimal routes considering the unique characteristics of different vehicle types, such as capacity and speed.
Improve ETA accuracy and lessen the gap between estimated and actual arrival times.
Optimize resource allocation, maximize vehicle utilization and enhance overall fleet efficiency.
Request a DemoFast ordering and reordering of sequences
Modify routes in real-time by adding or removing stops/jobs using dynamic re-optimization.
Reduce the probability of unassigned jobs and enhance on-time performance.
Incorporate your first-party and operational data in your map stack to get tailored and optimal routes.
Request a DemoFind Out How NextBillion.ai’s
Route Optimization Is Different From the Rest
Define
optimization goals
Optimize for time or distance with the ‘cost’ parameter
Incorporate
vehicle profiles
Customize routes based on vehicle type, height and weight.
Accommodate
skills and jobs
Specify job priority and define skills that need to be paired with the jobs
Specify vehicle
capacities
Define vehicle capacities, weight, volume that can be accommodate and number of seats or passengers.
Flexible
time windows
Specify time-dependent delivery windows and multiple time windows.
Include traffic
and operational data
Incorporate historical traffic and proprietary data to observe and analyze trends.
How To Use NextBillion.ai’s Route Optimization API
Unlocking the power of NextBillion.ai’s Route Optimization API is a seamless journey, designed to enhance your business operations. Follow these steps to effortlessly integrate and utilize the API:
Import or
Integrate
Choose your preferred method. Easily import data from a Google Sheet or integrate the API directly into your system for real-time usage.
Define
Parameters
Tailor the route optimization to your unique business goals. Set parameters like delivery time windows, vehicle capacities, and more to ensure optimized routes.
Constraints
for Precision
Specify constraints that align with your business requirements. Factor in real-world variables like traffic conditions, preferred time slots, and more.
Create
Routes
With all parameters and constraints in place, generate routes that go beyond basic planning. The API's advanced algorithms craft routes that are efficient, cost-effective, and accurate.
On-the-Go
Integration
Enjoy the flexibility of quick integration, allowing you to utilize the API for on-the-go decisions and real-time updates, ensuring timely deliveries and resource optimization.
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Our Comprehensive Route Optimization Suite
Improve the unit economics and gross margins of your business. Use our flexible,
developer-friendly APIs for a smooth experience.
Route Optimization for daily efficiency
Streamline your daily operations with our route optimization solutions. Effortlessly plan the most efficient routes for your drivers, minimizing travel time and costs. Say goodbye to manual route planning and hello to increased productivity.
Long-haul Route Optimization
Planning for the long haul? Our route optimization tools go beyond the daily grind. Optimize routes for extended periods, ensuring your resources are used optimally over time. Prepare for success today and tomorrow.
Last mile delivery perfected
Master the art of last mile delivery. Our route optimization technology empowers your business to handle the most complex last mile logistics with ease. Get your deliveries right where they need to be, every time.
Strategic territory planning
Conquer territories with precision. Our route optimization expertise helps you plan and manage territories strategically. Maximize coverage and minimize overlaps, unlocking untapped potential for your business.
Better
Together
NextBillion.ai offers a variety of Proprietary tools that makes Route planning and optimization easier.
Use Cases
Field
Service
Improve resource utilization and reduce logistics costs.
Last Mile
Logistics
Intelligent task assignment and workforce dispatch.
Waste
Management
Effective deployment of field workforce.
On-Demand
Delivery
Meet promised ETAs and deliver on time.
Public
Transportation
Streamline supply chain logistics and manage your transportation.
Long Haul
Trucking
Correct mapping of tasks and routing of field services.
Trusted by Enterprises and Start-Ups Worldwide
By substantially reducing the number of developer hours spent on scheduling, NextBillion.ai’s MVRP and large Distance Matrix API have helped us improve our operational efficiency and increase our cost savings significantly!
I admire NextBillion.ai's fast response and friendly manners whenever we need professional support in geospatial data processing. They have delivered a valuable service and support to our company that we appreciate.
NextBillion.ai solves the problem of providing a high-performance mapping platform at scale. We generate efficient delivery schedules in real time for hundreds of vehicles, so distance calculations need to be fast and reliable. NextBillion.ai’s Distance Matrix service meets and exceeds this demand.
FAQ
The Multi-Depot Vehicle Routing Problem (MDVRP) is a route optimization problem that involves determining the most efficient route to deliver goods or services from multiple depots to a group of clients.
The MDVRP aims to reduce overall travel distance while considering vehicle capacity, depot location, and route length constraints. MDVRP has many applications in the logistics and transportation industries, where effective fleet management is critical to the company's success.
Route Optimization API has two main components, i.e., the input data and the optimization engine.
- Input data*: It consists of all the information about the jobs, which are stops/places to visit, vehicles and shipments, which are pickup and delivery tasks.
- Optimization Engine The optimization engine considers the input data to generate optimized routes for the vehicle fleet. The optimization engine can handle multiple constraints and variables, such as vehicle capacity, time windows and skills, and truck-specific routing parameters.
The POST method submits the input to the Optimization Engine, which returns a unique optimization job id. The GET method retrieves the optimized route result using the unique reference id.
Ready to
Get Started?
Solve simple to complex routing, assignment and allocation problem
Request a Demo