Route Planning APIs for Last-Mile Delivery
Power Last-Mile Deliveries with Intelligent,
Real-time Route Optimization.
- Dynamic Route Planning
- On-time Deliveries
- Zone-based Allocation
- Request a live demo
(and get the trial API key) 
Chosen by Tech and Operations Teams Driving Last-Mile Excellence
From Uncertainty to Excellence,
Own the Last Mile.
Make Every Delivery Profitable and Predictable
Optimal Route Planning
Poor routing slows down last-mile deliveries, leading to missed time windows, increased fuel costs, and reduced customer satisfaction.
Request a demoMissed Deliveries
Incorrect addresses, lack of live traffic data, and unclear drop-off instructions often lead to delays, failed delivery attempts, and increased operational costs.
Read API TutorialsHandling Ad-hoc Orders
Integrating urgent or unscheduled orders into current batches reduces disruptions and lowers delivery costs.
View Pricing Plans
Make Every Last-Mile Delivery Timely,
Trusted, and Cost-Efficient
Achieve Seamless Execution from Dispatch to Doorstep
Advanced Route
Planning
Optimize routes by zone, vehicle type, and cost for smarter, fleet-aligned deliveries.
Dynamic
Reoptimization
Update routes on the fly to manage real-time changes without compromising service.
Intelligent Clustering & Zoning
Enhance zone planning with smart job clustering based on distance, traffic, driver preferences, and route overlaps.
Capacity-Aware
Planning
Plan deliveries based on real-time vehicle capacity, load constraints, and service requirements to maximize efficiency and reduce operational waste.
James Nebeker,
Machine Learning Engineer, TruckIT
"NextBillion.ai solves the problem of providing a high-performance mapping platform at scale. We use them to generate large distance matrices that we use to solve unique geospatial routing problems that arise in the short-haul trucking industry."
Carson Stevens,
Data Engineer, Hawx Pest Control
"By substantially reducing the number of developer hours spent on scheduling, NextBillion.ai’s Route Optimization API and large Distance Matrix API have helped us improve our operational efficiency and increase our cost savings significantly!"
Jebu Ittiachen,
Chief Architect, Freight Tiger
"NextBillion.ai were quick to integrate with our data set and provide their solution tuned to our data. Ability to tune the eta models for targetted driving profiles with minimal effort is probably the standout experience."
Building Blocks for Optimizing Last Mile Deliveries
Explore a range of complementary APIs by NextBillion.ai that enable you to handle unique workflows.
Developers and Operations Managers in Last-Mile Delivery Love NextBillion.ai APIs & SDKs
Design Smarter Routes for High-Performance
Last-Mile Delivery
Food and Beverage Delivery
Optimize retail deliveries by matching each order with the right route, vehicle type, and capacity.
Read MoreE-commerce
Get precise distances and ETAs for all origin-destination pairs in one API call.
Read MoreConstruction Industry
Plan efficient heavy-vehicle routes using automation and private maps to reach rural and hard-to-access areas.
Read MoreOil & Gas Industry
Optimize fleet usage seamlessly to manage hazmat rules, time-bound deliveries, and off-road routes in real time.
Read More
CASE STUDY
Explore Route Planning APIs & SDKs for
your Last- Mile Operations
Integrate Seamlessly With Top Enterprise Clouds, ERPs and CRMs
View Integrations
Frequently asked questions
Vehicle and Fleet Type
Our platform supports mixed fleet routing across bikes, vans, EVs, and refrigerated trucks. By matching each delivery to the most suitable vehicle, last-mile operations achieve faster deliveries, lower costs, and reduced emissions.
NextBillion.ai factors in volume, weight, and perishability constraints when planning routes. This ensures vehicles are neither underutilized nor overloaded, helping maximize delivery density while safeguarding sensitive goods.
With the API calls, backhauls and return trips can be planned while keeping in mind the empty miles and non-forward delivery legs. This planned approach helps in streamlining the return-to-warehouse process even in the last-mile delivery. In cases, any specific constraints are required to accommodate, you can always connect with our routing experts and get your business routes generated in accordance with last-mile specifications.
Yes. NextBillion.ai provides range-aware EV routing and charger stop planning, ensuring electric vehicles complete routes efficiently without running out of charge, while also factoring in charging infrastructure availability.
The route optimization API helps in generating route plans while accommodating various aspects such as multi-dimensional capacity planning (cube, weight, pallets, cases, and SKU slots) to ensure vehicles are loaded efficiently while respecting product-specific requirements like refrigerated, frozen, or ambient compartments.
Delivery Frequency and Scheduling
The platform automates daily, weekly, and monthly subscription deliveries by assigning them to recurring schedules. Routes adapt dynamically to changes in demand, ensuring consistent and on-time service without manual replanning.
The platform supports the generating and re-routing of existing planned routes to support on-demand and last-minute orders. The route optimization APIs help in recalculating paths in real time, ensuring high-priority orders are fulfilled without disrupting ongoing deliveries.
The platform enables time-window aware routing, aligning delivery slots with both customer preferences and operational efficiency. This logic-based routing helps in minimizing idle time, enhances FADR and balances cost per delivery with service quality.
The platform optimizes mixed time models, seamlessly handling instant orders alongside pre-scheduled deliveries. It ensures urgent orders are prioritized without disrupting planned routes.
Yes. NextBillion.ai is time-window and SLA aware, factoring in ETA/EDD promises, customer appointment slots, and cut-off times. It dynamically adjusts routes to meet commitments while minimizing cost overruns.
The engine respects driver shift/break regulations and automates reattempt scheduling for failed deliveries. This reduces SLA breaches, improves compliance, and ensures fair workload distribution.
Route Optimization Strategy & Constraints
With dynamic re-routing, drivers can instantly adapt to urgent orders, traffic disruptions, or last-minute cancellations. The engine recalculates routes in real time without disrupting the rest of the delivery plan.
NextBillion.ai’s route optimization engine is time-window and SLA aware, prioritizing deliveries that must arrive within strict customer or business deadlines, while still balancing efficiency and cost. To add more accuracy to the generated route plans, one can add time-constraints as a must-to focus aspect while creating the delivery sequence.
The platform minimizes unproductive travel by sequencing stops efficiently, planning backhauls where possible, and assigning drivers to the nearest available orders or hubs.
The engine incorporates cold-chain and dry-ice handling constraints, automatically assigning such deliveries to certified vehicles and trained drivers. This reduces spoilage risk and ensures regulatory compliance.
NextBillion.ai is built for enterprise-scale logistics, capable of optimizing thousands of daily orders and hundreds of vehicles. It ensures reliable replenishment cycles for institutions such as universities, government facilities, or large retailers.
Yes. NextBillion.ai enables multi-site delivery optimization, where orders for multiple branches or hubs are intelligently sequenced and assigned. This helps enterprises reduce logistics spend while meeting strict delivery windows.
The platform integrates live traffic updates into its optimization engine, dynamically adjusting routes to avoid congestion, accidents, or road closures while keeping ETAs accurate.
Yes. NextBillion.ai supports live re-sequencing and dynamic rerouting, automatically reordering stops or redirecting drivers when cancellations, new orders, or delays occur.
The platform provides SLA-at-risk alerts to flag potential delays in advance. Dispatchers and drivers can act immediately to reschedule or reassign tasks, reducing missed commitments.
Customer Experience and Routing
Drivers receive custom delivery notes like access codes, building instructions, or preferred drop-off points which directly can be added in their navigation app. This smooth instruction flow can help to ensure smooth last-mile fulfillment.
The system enables photo capture, digital signatures, and OTP validation, creating a secure digital trail that enhances accountability and customer trust. In case of any special requirements, the PODs mode can be integrated in the current ecosystem.
Yes. NextBillion.ai factors in loading-bay windows, curb fees, elevator/stairs dwell times, and building access codes, ensuring smoother last-mile execution in high-density city environments.
The engine uses curb-aware routing to guide drivers toward legal stopping points, while incorporating delivery instructions and time restrictions. This reduces fines, improves safety, and keeps SLAs intact.
Returns & Exchanges
The platform streamlines reverse logistics by routing return pickups to the nearest available driver or hub. It accounts for package type (small parcel vs. bulky appliances) to ensure proper handling.
Yes. NextBillion.ai supports exchange-aware routing, where a new item can be dispatched on the same trip as the pickup. This reduces turnaround time and enhances customer satisfaction.
Customers can choose flexible return slots, and the platform dynamically reschedules missed pickups. This minimizes repeat attempts, lowers operational costs, and improves convenience.
Routing strategy & territory design
The platform uses advanced route grouping, clustering, and stop sequencing to organize deliveries into logical, efficient trips. This minimizes travel time, balances workloads, and reduces costs per drop.
Yes. NextBillion.ai supports zone routing, hex/quad-grid zoning, and service-area polygons, allowing businesses to design territories that improve coverage in dense cities or wide service areas while avoiding overlaps.
With wave and batch planning, deliveries are released in time-based clusters, morning, afternoon, or aligned to order cut-offs. This ensures predictable dispatch cycles and efficient use of fleet capacity.
The platform applies territory balancing algorithms so drivers have fair workloads, while also supporting hub-and-spoke and cross-dock assignments. This reduces empty miles and ensures smooth replenishment across multiple hubs.
Multi-depot & network design
The platform supports multi-depot route planning, cross-docking, and pool distribution, automatically assigning orders to the most efficient hub or micro-fulfillment center. This reduces empty miles, improves delivery speed, and balances workloads across facilities.
Yes. NextBillion.ai enables zone-based handoffs, spoke reassignments, and reverse logistics routing to streamline both forward and return flows. This ensures flexibility in large delivery networks while keeping costs under control