Optimize recurring and subscription delivery routes with software built for high-volume, repeat-stop operations. NextBillion.ai helps logistics teams reduce planning time, control API costs, balance driver workloads, and improve on-time performance with AI-powered routing, dispatch, tracking, and flexible deployment options. The platform is designed for operators managing weekly, monthly, or other fixed-frequency delivery cycles, where route consistency, service-window compliance, and driver familiarity with territories matter as much as raw efficiency. Instead of manually rebuilding routes each cycle, teams can automate repeat-stop planning, adapt quickly when customer volumes or schedules shift, and refine routes over time using historical performance data. With support for 50-plus routing constraints and flexible per-order or per-vehicle pricing, subscription and recurring delivery businesses can scale route complexity without scaling planning overhead or infrastructure costs.
Tools and APIs for planning, dispatching, tracking, and improving recurring delivery operations at scale.
Plan efficient recurring multi-stop routes with support for time windows, vehicle capacity, service times, depot logic, and large stop volumes. Built to reduce miles, improve route balance, and keep subscription deliveries on schedule.
Give operations teams a no-code workspace to import recurring stop lists, review optimized routes visually, make manual adjustments, and dispatch plans without relying on engineering resources for daily planning changes.
Monitor drivers and vehicles in real time, compare planned versus actual route progress, and keep delivery teams informed with accurate location visibility, event alerts, and stronger operational control throughout the day.
Automate arrival, departure, and dwell-time events for recurring customer locations, depots, and service zones. Geofencing helps confirm visits, trigger workflows, and reduce manual status checking across subscription routes.
Use machine learning trained on historical fleet performance to improve recurring route quality over time. The system learns from actual completion patterns to create routes that are more realistic and easier for drivers to execute.
Calculate travel times and distances across large recurring stop networks to support route planning, territory design, and driver assignment. Ideal for operators managing dense delivery schedules and frequent re-optimization.
NextBillion.ai helps subscription and recurring delivery operators turn repeat-stop complexity into a scalable workflow. From weekly and monthly route planning to live dispatch, tracking, and route refinement, the platform supports high stop density, changing demand, and strict service expectations. With 50+ routing constraints, AI-driven optimization, and per-order or per-vehicle pricing, teams can improve on-time delivery while keeping infrastructure costs predictable. Recurring delivery operations bring a distinct set of challenges compared to one-time last-mile delivery: routes need to stay consistent enough for drivers to build territory familiarity, yet flexible enough to absorb cancellations, new sign-ups, and mid-cycle demand changes. NextBillion.ai's platform is built around this balance, letting operators re-optimize routes as conditions change without discarding the route structure entirely. Teams can plan around vehicle capacity, service time windows, driver shifts, break rules, and multi-depot logistics, then track execution and adjust dispatch in real time. Flexible deployment and pricing options allow logistics teams to scale stop volume and route complexity without unpredictable cost increases.
See how logistics teams improve recurring route efficiency, visibility, and delivery consistency.
Recurring delivery operations need more than basic mapping tools.
Per-order and per-vehicle pricing helps recurring delivery teams avoid runaway API costs.
Support 50+ routing constraints for repeat stops, time windows, capacities, and shift rules.
Trial access starts quickly, with production go-live possible within one week.
Choose cloud, marketplace, or on-premise deployment with strong uptime and security standards.
Experienced builders of logistics-grade location technology.
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.
There is no single best route optimization software for every use case. The right choice depends on stop volume, delivery frequency, constraint complexity, and how the software fits into existing fleet and dispatch systems. For recurring and subscription delivery operations specifically, look for platforms that support repeat-stop scheduling, route consistency over time, flexible re-optimization, and API-based integration rather than one-off route generation.
Talk with our team about your recurring delivery workflow.
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