Truck Routing
Generate truck-compliant routes that respect bridge limits, low-clearance underpasses, axle restrictions, hazmat rules, truck-prohibited streets, and permit-required corridors for safer freight movement.
Optimize LTL pickup, delivery, linehaul, and dispatch workflows with NextBillion.ai’s enterprise-grade routing platform. Build truck-compliant routes, calculate accurate ETAs, manage constraints across terminals, and keep drivers aligned with real-time updates. Designed for freight operators that need predictable costs, flexible deployment, and routing intelligence built for complex commercial transportation.

Advanced routing APIs and software for compliant, efficient, and scalable LTL freight operations.
Generate truck-compliant routes that respect bridge limits, low-clearance underpasses, axle restrictions, hazmat rules, truck-prohibited streets, and permit-required corridors for safer freight movement.
Plan multi-stop LTL routes with 50+ hard and soft constraints, including capacity, time windows, shift hours, breaks, multi-depot dispatch, hazmat requirements, and truck dimensions.
Calculate travel times, distances, and ETAs at scale with matrices up to 5,000×5,000, including traffic-aware and truck-specific routing for freight planning.
Push optimized routes directly to driver apps, telematics platforms, and fleet systems, with dynamic reassignment when conditions change mid-shift or freight volumes spike.
Deliver commercial turn-by-turn navigation that accounts for vehicle dimensions, hazmat restrictions, toll avoidance, sharp turns, traffic, custom road attributes, and multi-waypoint routing.
Transform raw GPS breadcrumbs into road-snapped, audit-defensible trip records for HOS compliance, hazmat routing verification, mileage accuracy, and incident reconstruction.
NextBillion.ai helps LTL carriers move beyond generic mapping with routing built for freight realities: terminal networks, capacity constraints, compliant truck paths, driver workflows, and accurate ETAs. With API-first deployment, no-code planning tools, telematics integrations, and predictable per-vehicle or per-order pricing, teams can improve utilization, reduce avoidable miles, and scale operations without runaway API costs.

Trusted by global logistics, fleet, and transportation teams to reduce costs and improve routing performance.
Purpose-built location intelligence for freight operators that need scale, flexibility, and cost control.
Model real freight rules including truck dimensions, hazmat, capacity, shifts, and time windows.
Per-vehicle and per-order models help avoid volatile pay-per-call mapping costs.
Trial API keys, solutions engineering support, and production go-live possible within one week.
SOC 2 Type II, GDPR, CCPA, and ISO/IEC 27001:2013 certified infrastructure.
Geospatial leaders building enterprise routing 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.
LTL trucking route management software helps carriers plan, optimize, dispatch, and monitor freight routes across pickup, delivery, terminal, and linehaul operations. NextBillion.ai adds truck-aware routing, capacity and time-window constraints, traffic-aware ETAs, driver dispatch, live tracking, and audit-ready route reconstruction so operations teams can reduce miles, improve service reliability, and maintain compliance.
Talk with a solutions engineer about your LTL workflows.
Enterprise-grade security controls independently validated.
Certified information security management standard.
Rated highly across top review platforms.
Share your fleet size, routing constraints, systems, and deployment needs. A solutions engineer will help assess fit, recommend APIs, and outline a practical path to evaluation.
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