Geofencing Solutions for Manufacturing — Industrial Provider

Setting up geofencing with NextBillion.ai starts with defining your virtual boundaries — draw them as polygons, circles, or custom shapes via our platform interface, import GeoJSON files, or create them programmatically through the API. From there, configure event triggers for entry, exit, or dwell events, assign rules to specific vehicles or asset groups, and set time-of-day schedules. Our solutions engineering team guides you through trial onboarding and production integration, typically completing deployment within one week.

The NextBillion.ai Geofencing API supports polygons, circles, corridors, and fully custom shapes — giving you the geometric flexibility to accurately map irregular industrial zone boundaries such as production floors, loading bays, hazardous material perimeters, and access-controlled corridors. Geofences can be created visually in the platform, imported as GeoJSON, or generated programmatically, and multiple geofences can run simultaneously across different operational contexts.

Yes. Geofences in NextBillion.ai can be scoped to specific vehicle types (cars, trucks, forklifts, or custom vehicle classes) and configured with time-of-day or day-of-week schedules. This means a restricted zone can enforce rules only during active production shifts or apply different access policies for heavy goods vehicles versus light service vehicles — matching the layered access control requirements typical of industrial manufacturing sites.

When a tracked asset — vehicle, equipment, or high-value cargo — moves outside its authorized operating geofence, the API fires a real-time security alert to your operations system. This enables immediate intervention for unauthorized movements, theft detection, and compliance violations without requiring manual monitoring. Event logs provide time-stamped, audit-ready records of every boundary crossing, supporting incident investigation and insurance documentation.

Yes. Geofences designated as restricted zones feed directly into NextBillion.ai's routing engine. Any route calculation that would pass through a restricted geofence is automatically rerouted around it — in real time. This is particularly valuable for manufacturing sites with safety-critical no-go zones, hazardous material handling areas, or pedestrian priority corridors where vehicle routing must be enforced automatically rather than left to driver judgment.

Yes. NextBillion.ai offers full on-premise deployment via Kubernetes, supporting private cloud, VPC, and on-site data center environments. This ensures all geofencing events, location data, and routing calculations remain within your infrastructure — meeting GDPR, CCPA, and industry-specific data residency mandates. The platform is SOC 2 Type II certified and ISO/IEC 27001:2013 certified, providing a verifiable security foundation for enterprise manufacturing deployments.

NextBillion.ai offers per-vehicle and per-order pricing rather than per-API-call billing. For manufacturing operations running frequent geofence checks, real-time tracking, and batch event processing across large fleets, this model prevents cost spikes during peak production periods or system re-optimization cycles. Pricing scales with your fleet size or operational throughput — not with the underlying computational activity of your location platform.

The NextBillion.ai Geofencing API integrates with leading telematics platforms including Samsara, Geotab, and Motive, as well as enterprise systems including SAP, Microsoft Dynamics 365, and Salesforce. Geofence events can trigger automated workflows in connected TMS, ERP, and fleet management tools. The API is also available for on-premise deployment and cloud-agnostic environments, and goes live with full production integration typically within one week.