The Open-Source AI Layer for Logistics
Fleetbase is building AI that doesn't just surface insights — it acts. Route decisions, autonomous dispatch, anomaly detection, and natural language fleet control. All on infrastructure you own.
No black-box AI. No data leaving your servers. No vendor lock-in. Open source, auditable, and model-agnostic — so you stay in control of your intelligence.
AI capabilities are on our immediate roadmap. Join the waitlist to get early access.
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 is building 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 — observing, reasoning, and acting directly within your dispatch, fleet, and order workflows.
AI Observes Everything
Every order, driver location, vehicle status, and customer interaction flows into the Fleetbase AI layer in real time. Nothing is missed.
AI Reasons & Decides
Models trained on logistics-specific data analyse patterns, detect anomalies, and generate recommendations — or take autonomous action when configured to do so.
AI Acts in the Platform
AI doesn't just surface insights in a separate dashboard. It acts directly inside Fleetbase — re-assigning drivers, updating ETAs, creating alerts, and triggering workflows.
You Stay in Control
Every AI action is logged, explainable, and reversible. You choose which capabilities run autonomously and which require human approval. Open source means you can audit the models.
Every dimension of logistics, made intelligent
Eight AI capabilities designed around the real problems logistics operators face every day — from the first mile to the last.
AI that solves real logistics problems
Every AI 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 a driver was flagged. Fleetbase AI is open — inspect the models, understand the decisions, trust the output.
Run Your Own Models
Connect your own LLMs, fine-tuned models, or proprietary algorithms. Fleetbase AI is model-agnostic — use OpenAI, Anthropic, Mistral, or your own self-hosted model.
Data Stays on Your Infrastructure
Your logistics data never leaves your servers. Train AI on your own historical data without sending sensitive shipment, customer, or driver data to third-party AI providers.
Community-Driven Intelligence
AI capabilities built by the Fleetbase community — logistics operators, developers, and researchers — not just a product team. The best ideas ship fastest in open source.
AI is on our immediate roadmap
We are building Fleetbase AI in the open. Follow our progress on GitHub and join the community to shape what gets built next.
- AI Route Optimisation Engine (beta)
- Natural Language Query Interface
- Anomaly Detection for Late Deliveries
- Autonomous Order Processing
- Predictive Driver ETA Engine
- AI-Powered Analytics Narratives
- Predictive Maintenance Integration
- Demand Forecasting Module
- AI Compliance & Risk Monitor
- Custom Model Fine-Tuning UI
- Multi-Modal AI (voice dispatch)
- AI Extensions Marketplace
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 | ||
| Embedded in operations workflow | ||
| Open source codebase | ||
| No vendor lock-in | ||
| Community-driven development | ||
| Custom model fine-tuning | ||
| Usage-based pricing | ||
| Works with self-hosted deployment |
Be the first to run AI on your logistics operations
Join the Fleetbase community today. Star us on GitHub to follow AI development, or talk to our team about your specific AI use case — we are actively shaping the roadmap with early partners.