Waste Route Optimization
Build efficient collection routes using vehicle capacity, waste category, time-window, truck restriction, multi-depot, and other operational constraints.
Optimize garbage truck and waste collection routes with software built for municipal haulers, commercial waste services, recycling operators, and roll-off dumpster fleets. Account for vehicle capacity, waste categories, truck restrictions, time-of-day limits, multi-compartment collection, and landfill scheduling while improving operational efficiency, reducing driving hours, and supporting dependable service across complex routes.

Connected routing tools help waste operators plan, optimize, dispatch, and monitor complex collection and dumpster routes.
Build efficient collection routes using vehicle capacity, waste category, time-window, truck restriction, multi-depot, and other operational constraints.
Plan pickup-and-delivery sequences for roll-off dumpsters while accounting for empty-load and full-load legs across multiple stops.
Push optimized routes to driver applications, fleet systems, and telematics platforms, with dynamic reassignment when field conditions change.
Group collection locations into proximity-based territories before optimization, supporting large volumes of stops and multi-depot operations.
Connect routing intelligence with fleet management and telematics platforms through APIs, SDKs, and native integrations.
Combine map sources and operator edits to reflect road restrictions, closures, access rules, and geography-specific routing requirements.
NextBillion.ai helps municipal waste haulers, commercial collection companies, recycling operators, and roll-off dumpster providers plan routes around real operational constraints. The platform supports vehicle type and capacity by waste category, lane restrictions for large trucks, time-of-day restrictions, multi-compartment vehicles, landfill or transfer-station scheduling, and complex pickup-and-delivery sequences. Flexible APIs, SDKs, web tools, and on-premise deployment options support different technology environments.

Explore how configurable location intelligence can support more efficient collection, recycling, and dumpster operations.
Purpose-built routing intelligence gives waste operators more control over complex fleet workflows and technology costs.
Designed for collection, recycling, municipal, commercial, and roll-off dumpster routing requirements.
Apply vehicle capacity, waste categories, restrictions, time windows, and facility scheduling rules.
Choose per-vehicle, per-order, per-API-call, or fixed monthly pricing models for cost control.
Use cloud infrastructure, regional hosting, or on-premise deployment within your own environment.
Experienced founders build adaptable location technology for complex business operations.

Co-Founder
Ajay Bulusu is a co-founder of NextBillion.ai, bringing deep expertise in geospatial technology and large-scale location platform engineering. His journey began in 2017 as part of Grab's pioneering Geo team, where he helped build the location infrastructure underpinning one of Southeast Asia's largest mobility and logistics platforms. That experience revealed how critical — and how underserved — accurate, flexible location technology was for real-world operations. Driven by a mission to democratize sophisticated location intelligence, Ajay co-launched NextBillion.ai in 2020. Under his technical leadership, the platform has scaled to serve 150+ businesses globally, optimize over 10.9 million deliveries and field tasks, and deliver more than $11 million in documented cost savings to customers.

Co-Founder
Gaurav Bubna drives product innovation at NextBillion.ai, bringing a proven track record of building successful products from scratch across ride-hailing, food delivery, and logistics. Before co-founding NextBillion.ai, Gaurav held product leadership roles at Grab, Ola, and Morgan Stanley — organizations where location technology and operational efficiency are existential. His time on Grab's Geo team alongside Ajay and Shaolin crystallized the vision: logistics and field service businesses needed enterprise-grade location intelligence without prohibitive per-call pricing. Since launching NextBillion.ai in 2020, Gaurav has led the product evolution that has helped the platform navigate over 557 million miles and raise $34.25M in venture capital from investors including Lightspeed and Microsoft's M12.

Co-Founder
Shaolin Zheng is a co-founder of NextBillion.ai, contributing deep technical expertise in geospatial systems and scalable mapping infrastructure. Like his co-founders, Shaolin's formative experience building location technology for Grab's Geo team gave him firsthand insight into the operational gaps that generic mapping solutions leave unaddressed — particularly for field service and logistics businesses operating at scale. His engineering perspective shapes NextBillion.ai's core philosophy: location technology must be customizable, cost-predictable, and production-reliable. The platform he helped build now powers GPS tracking, route optimization, and field service intelligence for over 150 businesses worldwide, with on-premise deployment options and SOC 2 Type II and ISO/IEC 27001:2013 certifications ensuring enterprise-grade security.
Garbage truck and waste collection routing software plans efficient collection routes for municipal haulers, commercial waste services, recycling operators, and roll-off dumpster providers. It can account for vehicle type, capacity by waste category, road restrictions, time-of-day limits, multi-compartment vehicles, facility scheduling, and pickup-and-delivery sequences. The result is a more structured connection between route planning, dispatch, driver execution, and operational monitoring.
Talk with the NextBillion.ai team about your waste operation.
Tell us about your fleet, routing constraints, and integration goals so our team can discuss a suitable solution.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.