The Open-Source AI for Logistics
Fleetbase AI is the first open-source AI for logistics — and it doesn't just surface insights, it acts. Ask your operation anything, create orders in plain English, and let AI take action inside your workflow.
No black-box AI. Bring your own model — OpenAI, Claude, or local. Every action previews before it applies and is fully audited. Open source and model-agnostic, so you stay in control of your intelligence.
Live on Fleetbase Cloud and self-hosted — enable Fleetbase AI in your console. Shipped in v0.7.49.
Fleetbase AI in the console — ask, preview, and create, in plain English. No other logistics platform ships open-source AI built in like this.
Logistics AI is broken — and you're paying for it
Most "AI-powered" logistics platforms are black boxes. You get a recommendation with no explanation. Your data is sent to a third-party AI provider. You can't customise the models. And when the AI gets it wrong, you have no way to understand why.
Closed-source AI also means vendor lock-in. The moment you rely on their AI, you're dependent on their pricing, their uptime, and their roadmap.
Fleetbase AI is a different kind of logistics AI — open, auditable, and embedded directly into the operations platform. AI that acts inside your workflow, not in a separate dashboard you have to translate back into decisions.
AI that acts inside your operations
Fleetbase AI is not a reporting layer. It is embedded into the platform — seeing your live data, taking your instructions, and acting directly within your dispatch, fleet, and order workflows.
AI Sees Your Operation
Modules register AI-readable context — orders, drivers, vehicles, routes, and help docs — so Fleetbase AI works from your live operational data, not generic guesses.
You Ask in Plain English
Open the AI prompt from the console header and ask a question or describe an action. Multi-turn chat sessions keep the context so follow-ups just work.
AI Acts in the Platform
Fleetbase AI doesn't just reply — it can draft orders, run queries, and trigger actions directly inside Fleetbase. Every action previews first and applies only on your confirm.
You Stay in Control
Every AI task, step, and session is recorded for audit. Admins gate providers and configuration, and disabled AI is fully blocked server-side. Open source means you can read every line.
What Fleetbase AI does today
Live capabilities, built into the platform and shipping in the open — from the in-console AI prompt to the framework that lets every extension plug in.
AI that solves real logistics problems
Every capability maps to a specific pain point your team faces today.
Open source AI is a competitive advantage
Closed-source logistics AI is a liability. Open-source AI is an asset you can build on, audit, and own.
No AI Black Box
With closed-source logistics AI, you have no idea why a route was chosen or an action was taken. Fleetbase AI is open — read the module, see the capabilities, and audit every task it runs.
Run Your Own Models
Connect your own LLM provider — Fleetbase AI is model-agnostic. Use OpenAI, Anthropic (Claude), or a local provider, and switch without re-platforming.
Data Stays on Your Infrastructure
Self-host Fleetbase and keep your logistics data on your own servers. Point the AI at the provider you trust instead of shipping sensitive shipment, customer, or driver data to a vendor's black box.
Community-Driven Intelligence
AI capabilities built in the open with the Fleetbase community — operators, developers, and researchers. New capabilities plug into the same framework and ship fast.
Fleetbase AI vs. Closed-Source Logistics AI
| Feature | Fleetbase AI | Closed-Source AI |
|---|---|---|
| Auditable AI decisions | ||
| Data stays on your infrastructure | ||
| Bring your own AI model | ||
| Preview before AI acts | ||
| Embedded in operations workflow | ||
| Open source codebase | ||
| No vendor lock-in | ||
| Community-driven development | ||
| Usage-based pricing | ||
| Works with self-hosted deployment |
Run AI on your logistics operation today
Start a free trial and turn on Fleetbase AI in the console, or dig into the open-source module on GitHub. Have a specific use case? Talk to our team.