Field Service Optimization
Schedule and route maintenance technicians with 50+ real-world constraints — time windows, skill matching, territory zones, and last-minute reoptimization — to reduce response times and maximize jobs completed per shift.
Utility and maintenance fleets face relentless scheduling pressure — tight service windows, spread-out job sites, and zero tolerance for missed appointments. NextBillion.ai's Route Optimization API delivers dispatch-ready routes in seconds, handles 50+ real-world constraints, and keeps your field teams productive without unpredictable per-call API costs eating into margins.

A complete API toolkit for scheduling, dispatching, and tracking utility and maintenance field teams at scale.
Schedule and route maintenance technicians with 50+ real-world constraints — time windows, skill matching, territory zones, and last-minute reoptimization — to reduce response times and maximize jobs completed per shift.
Generate dispatch-ready multi-stop routes for utility crews in seconds. Handles complex regulatory constraints, vehicle types, shift hours, and priority jobs without ballooning your API costs.
Instantly assign the right technician to each job based on location familiarity, shift timing, order priority, and real-time availability — with dynamic reassignment when plans change mid-shift.
Track every utility vehicle and field agent in real time with sub-meter accuracy. Get configurable alerts for route deviations, excessive idle time, and geofence events across your entire maintenance fleet.
Define service territories, restricted zones, and job site perimeters for automated arrival confirmation, proof-of-service logging, and proximity-based technician dispatch for maintenance operations.
Inject private access roads, facility gate permissions, no-entry zones, and custom speed limits directly into routing calculations — ensuring utility routes reflect real on-site operational constraints.

Upload your daily maintenance job list via API or CSV. Configure vehicle types, technician shift hours, service time per stop, skill requirements, and time window commitments — reflecting the operational reality of utility crews working across dispersed service territories.
See how utility and maintenance operations use NextBillion.ai to cut costs, hit service windows, and scale their fleets.
Built by engineers who solved routing at scale inside Grab, NextBillion.ai gives utility and maintenance operators enterprise-grade routing intelligence without enterprise-grade pricing surprises.
Per-vehicle or per-order pricing means seasonal maintenance spikes and daily re-optimization cycles never trigger unexpected API cost overruns.
Handle time windows, shift hours, skill-based job matching, truck restrictions, and private road access — constraints that generic APIs cannot support for utility operations.
Dedicated solutions engineers provide hands-on onboarding, integration support, and ongoing assistance — going live in under a week with production-ready reliability.
Cloud-agnostic deployment on AWS, Google Cloud, or Azure — plus on-premise options for organizations with data residency or compliance mandates common in utility sectors.
Founders who built location technology for the world's largest mobility platforms.

Co-Founder
Gaurav drives product innovation at NextBillion.ai, bringing deep hands-on experience building location and logistics products from scratch at some of the world's most demanding mobility platforms. His work across ride-hailing at Grab, food delivery at Ola, and financial operations at Morgan Stanley gave him a firsthand understanding of how routing inefficiency compounds into significant operational cost — and how the right API infrastructure can eliminate it. At NextBillion.ai, Gaurav leads the product vision that makes enterprise-grade route optimization accessible to utility and maintenance operators, field service platforms, and logistics businesses who need flexibility and predictable costs, not rigid per-call pricing structures that penalize growth.

Co-Founder
Ajay Bulusu co-founded NextBillion.ai after years of solving location intelligence challenges at Grab's Geo team, where he experienced firsthand how inadequate and inflexible existing mapping solutions were for high-scale, operationally complex logistics environments. His engineering background and deep familiarity with the real-world constraints that utility fleets, maintenance operators, and field service teams face shaped the API-first, constraint-rich architecture that defines NextBillion.ai's routing platform today. Ajay's vision — that location technology should be customizable, affordable, and genuinely fit for purpose — continues to drive the platform's development as NextBillion.ai expands its capabilities for enterprise field service and utility operations globally.

Co-Founder
Shaolin Zheng brings deep technical expertise in geospatial systems and large-scale routing infrastructure to NextBillion.ai. As a co-founder who collaborated with Ajay and Gaurav on Grab's Geo team, Shaolin has spent his career building the foundational location data systems that power reliable, real-world routing decisions at scale. His work underpins the accuracy and performance of NextBillion.ai's Distance Matrix, Snap-to-Road, and Route Optimization APIs — ensuring that utility and maintenance operators get routing calculations that reflect actual road conditions, vehicle constraints, and operational rules rather than generic map approximations. Shaolin's engineering leadership continues to push the boundaries of what purpose-built routing infrastructure can deliver.
The API supports hard and soft time window constraints at the stop level, allowing you to specify earliest arrival, latest arrival, and on-site service duration for each maintenance job. The optimizer respects these windows while minimizing total travel time and balancing technician workloads — ensuring crews arrive within committed appointment windows without over-scheduling routes.
Speak with a NextBillion.ai solutions engineer to get answers specific to your fleet and operations.
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