Optimize grocery delivery routes with software built for high-order volumes, tight delivery windows, and fast-changing dispatch conditions. NextBillion.ai helps grocery and quick-commerce teams reduce delivery costs, improve ETA accuracy, assign drivers intelligently, and scale same-day or scheduled fulfillment without unpredictable API bills or rigid consumer-grade mapping limits.
Purpose-built tools for grocery routing, dispatch, tracking, and delivery execution at scale.
Optimize multi-stop grocery routes with time windows, vehicle capacity, shift limits, and dynamic order intake. Built for same-day, scheduled, and hyperlocal delivery operations where route quality directly affects margins and customer satisfaction.
Automatically assign orders to the right drivers using proximity, traffic, store prep times, and route feasibility. Reduce manual dispatcher workload while improving utilization, balancing workloads, and keeping delivery promises on track.
Give operations teams and customers real-time visibility into driver progress, ETAs, and route adherence. Track deliveries accurately, respond faster to exceptions, and improve the post-purchase experience with transparent order status updates.
Automate arrival, departure, and proof-of-delivery workflows with configurable geofences around stores, customer addresses, and service zones. Support curbside pickup, territory enforcement, and event-triggered notifications without manual monitoring.
Use machine learning trained on historical fleet performance to generate routes that reflect real delivery behavior, not just theoretical shortest paths. Improve predictability for recurring grocery routes, dense neighborhoods, and peak-hour operations.
Calculate large-scale travel times and ETAs for driver assignment, batching, and route optimization without small matrix limits. Ideal for grocery operators managing many stores, many drivers, and constant order flow throughout the day.
NextBillion.ai gives grocery delivery operators the routing infrastructure needed to handle dense stop volumes, narrow delivery windows, and constant mid-shift changes. The platform combines optimization, dispatch, tracking, and geofencing in one stack, helping teams lower cost per order, improve on-time performance, and scale scheduled or instant delivery without the pricing volatility and constraint limits common in consumer-focused mapping tools.
See how delivery and logistics teams improve routing efficiency, visibility, and cost control with NextBillion.ai.
"By substantially reducing the number of developer hours spent on scheduling, NextBillion.ai's MVRP and large Distance Matrix API have helped us improve our operational efficiency and increase our cost savings significantly!"
"We were unhappy with the pricing from big players in this space and needed a scalable alternative that offered customizability. NextBillion.ai's Maptiles API was exactly what we were looking for. For companies in the ferry and nautical map domain, we'd highly recommend NextBillion.ai."
Built for logistics teams that need more than basic route planning.
Per-order or per-vehicle pricing helps grocery teams scale without runaway API costs during demand spikes.
Handle time windows, capacity, shifts, multi-depot logic, and dynamic re-optimization in one routing stack.
Trial quickly and move to production within a week with hands-on solutions engineering support.
99.9% uptime SLA with cloud or on-premise deployment for secure, production-ready operations.
Experienced builders behind enterprise routing 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.
Grocery delivery route optimization software helps operators plan and dispatch the most efficient delivery routes across many orders, drivers, and stores. It accounts for constraints like delivery windows, vehicle capacity, shift times, traffic, and order priority. For grocery teams, it also supports dynamic re-optimization as new orders arrive, helping reduce cost per drop while improving ETA accuracy and on-time performance.
Talk with our team about your grocery delivery workflow.
Security controls independently audited.
Information security management certified.
Strong reviews across platforms.
Share your grocery delivery workflow, fleet setup, and routing challenges. We’ll help you evaluate the right APIs, software, and deployment model for your operation.
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