Collection Routing
Generate efficient, regulation-aware routes for municipal waste, commercial collection, and refuse fleets while accounting for vehicle type, capacity, lane restrictions, and time-sensitive neighborhood constraints.
Optimize waste collection, recycling, and roll-off dumpster operations with enterprise-grade routing intelligence built for complex fleet constraints. NextBillion.ai helps haulers reduce drive time, manage transfer-station schedules, track vehicles live, and adapt routes as conditions change. Explore software capabilities and operational insights for teams modernizing waste management at scale.
Purpose-built routing, tracking, and dispatch capabilities for waste collection, recycling, and roll-off operations.
Generate efficient, regulation-aware routes for municipal waste, commercial collection, and refuse fleets while accounting for vehicle type, capacity, lane restrictions, and time-sensitive neighborhood constraints.
Plan complex pickup-and-delivery sequences for roll-off dumpsters with empty-load and full-load leg awareness, supporting more accurate scheduling and fewer manual dispatcher adjustments.
Support source-separated recyclables and multi-compartment trucks with route plans that respect waste category capacity, collection priorities, and transfer or processing site schedules.
Use 50+ hard and soft constraints to optimize thousands of stops, including vehicle capacity, time windows, driver shifts, multi-depot dispatch, and truck-specific routing rules.
Monitor vehicles, drivers, and field assets in real time with configurable route-deviation, speed, idle, geofence, and location-based alerts for tighter operational visibility.
Give operations teams no-code control over road closures, turn restrictions, speed limits, no-entry zones, and vehicle-specific permissions that directly affect routing calculations.
Waste operations rarely follow simple point-to-point routes. NextBillion.ai brings AI-powered routing, live tracking, dispatch automation, geofencing, and custom road intelligence into one enterprise-ready platform. Teams can reduce fuel use, avoid on-road surprises, meet service windows, and scale collection or roll-off capacity without unpredictable API bills or rigid consumer mapping limits.
See how operations teams use advanced routing to reduce costs, increase capacity, and improve service reliability.
Built for complex routing operations where generic mapping platforms fall short.
Per-vehicle and per-order models reduce exposure to unpredictable API call spikes.
Route with 50+ constraints covering capacity, time windows, shifts, depots, and vehicle rules.
SOC 2 Type II, ISO/IEC 27001:2013, GDPR, and CCPA support enterprise requirements.
Trial keys, solutions engineering support, and production go-live are available within one week.
Geospatial leaders building enterprise location intelligence.
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.
Waste management software helps haulers plan, dispatch, track, and optimize collection operations across municipal, commercial, recycling, and roll-off routes. NextBillion.ai focuses on the routing intelligence layer, including route optimization, live tracking, geofencing, dispatch automation, custom road restrictions, and transfer-station scheduling logic for complex fleet operations.
Talk with a solutions engineer about your waste fleet requirements.
Enterprise-grade security controls and assurance.
Information security management certification.
Privacy compliance for enterprise data needs.
Share your fleet size, service model, routing constraints, and integration needs. A solutions engineer can help evaluate fit, deployment options, and the fastest path to testing.
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