GraphHopper

AI agents that answer delivery ETAs and route questions instantly

Customers want to know when their package arrives or how far the nearest store is. Your AI agent taps into GraphHopper's routing and geocoding engine to calculate distances, provide ETAs, and answer location queries in real time, reducing logistics support tickets by half.

Chosen by 800+ global brands across industries

Logistics intelligence at conversation speed

Your AI agent becomes a routing expert, calculating distances, converting addresses, and solving delivery optimization problems mid-conversation.

GraphHopper

Use Cases

Delivery and logistics scenarios solved

See how logistics companies use AI agents to answer location questions, estimate delivery windows, and optimize routes without human dispatchers.

Real-Time Delivery ETA for Anxious Customers

A customer messages your support chat asking when their package will arrive. Your AI Agent takes the driver's current coordinates and the delivery address, calls GraphHopper's Route API with a truck profile, and responds with the estimated travel time and distance. The customer gets a precise ETA instead of a vague 'sometime today.' Your support team handles zero ETA inquiries.

Service Area Verification Before Checkout

A potential customer enters their address and wants to know if you deliver to their location. Your AI Agent geocodes the address through GraphHopper, calculates an isochrone from your nearest hub, and confirms whether the address falls inside your delivery radius. Customers get instant confirmation, and your sales team never fields 'do you deliver here?' calls again.

Multi-Stop Route Planning for Field Teams

A field service manager submits ten client addresses for the next day's visits. Your AI Agent feeds the stops into GraphHopper's VRP optimization engine with vehicle capacity constraints and time windows, returning the most efficient visit sequence. The manager receives a ready-to-follow itinerary in seconds, saving an hour of manual planning each morning.

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FAQs

Frequently Asked Questions

How does the AI agent calculate delivery ETAs using GraphHopper?

The agent calls GraphHopper's Route API with the driver's current location and delivery address, specifying the vehicle profile (car, truck, bike). GraphHopper returns distance, travel time, and turn-by-turn instructions. The agent then converts the raw travel time into a customer-friendly ETA, factoring in your configured buffer times.

Can the agent geocode partial or ambiguous addresses?

Yes. GraphHopper's Geocoding API supports forward geocoding with autocomplete and country filtering. The agent sends the partial address, receives ranked suggestions with coordinates and confidence scores, and either picks the best match or asks the customer to confirm from a short list.

What vehicle routing constraints does the VRP solver handle?

GraphHopper's VRP endpoint supports time windows, vehicle capacities, pickup-delivery pairs, driver skill requirements, and multiple objectives. Your AI agent can submit all these constraints and receive an optimized route sequence. Jobs too complex for a single API call get queued for asynchronous processing.

Does GraphHopper work globally or only in specific regions?

GraphHopper uses OpenStreetMap data, which provides worldwide coverage. Routing, geocoding, isochrone, and matrix calculations work for any country or region mapped in OSM. Coverage quality varies by region but is excellent in North America, Europe, and most of Asia.

How is this different from using Google Maps in my chatbot?

GraphHopper offers vehicle route optimization (VRP), isochrone analysis, and custom routing profiles that Google Maps does not expose through its consumer APIs. GraphHopper also uses OpenStreetMap data with transparent pricing per request, avoiding the unpredictable costs of Google Maps Platform at scale.

Does Tars store the route or location data returned by GraphHopper?

No. Tars queries GraphHopper in real time during each conversation. Route geometries, coordinates, and travel times are fetched live and used only to respond to the customer. No geospatial data is persisted in Tars after the conversation ends.

Can the agent handle isochrone queries for service area mapping?

Yes. The agent calls GraphHopper's Isochrone API with a center point, travel time or distance limit, and vehicle profile. It returns polygon boundaries showing reachable areas. You can use this to verify if a customer's address falls within your delivery or service zone.

What happens if GraphHopper cannot find a route between two points?

The agent handles this gracefully. If no route exists (disconnected road networks, pedestrian-only areas for trucks), GraphHopper returns an error. The agent informs the customer, suggests an alternative pickup location, or escalates to a human dispatcher for manual resolution.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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