Route optimisation
Real-time routing with traffic, weather, capacity awareness. Reduces fuel costs and improves SLAs.
Industry
Logistics & Supply Chain
Production AI for SMB 3PLs, freight brokers, and supply-chain ops.
94% of supply chain leaders plan AI for decision support. We build AI agents for SMB 3PLs and freight brokers: route optimisation, autonomous reordering, disruption response, and document automation.
Where AI fits in logistics & supply chain.
Six application areas where we ship production AI in this industry, chosen against the operational realities, not the buzzwords.
Autonomous reordering
Inventory-aware AI agents triggering reorders based on demand forecasts and supplier lead times.
Document automation
BOL, customs forms, freight invoices extracted and classified automatically.
Dispatch & yard operations
AI co-pilots for dispatchers: load assignment suggestions, driver-availability awareness, exception triage at the yard.
Carrier sourcing & rate quoting
Multi-agent workflows that parse rate sheets, query carrier APIs, and produce quotes inside the broker's existing tools.
Customer comms & ETAs
Proactive shipment-status messages, ETA recalculations on disruption, and customer-facing chat grounded on real tracking data.
Related work
Where we've shipped this in production.
B2B PROCUREMENT · MULTI-AGENT 
B2B RENTAL · OPS PLATFORM
Racepoint
Multi-agent LLM SaaS for B2B procurement: quote parsing, configuration, dynamic pricing in one workflow.
Read case study -> B2B RENTAL · OPS PLATFORM Equipp
Rental marketplace with fulfilment, dispatch, and reverse-logistics workflows, operations-heavy commerce in production.
Read case study -> INSIGHT · COMING SOONAutonomous Route Agents
Real-time rerouting, carrier selection, agentic orchestration, and where humans still own the call.
Insight coming soon ->FAQ
Can you integrate with TMS / WMS systems? +
Yes. Common integrations: SAP, Oracle TMS, custom TMS/WMS, freight rate engines, carrier APIs (FedEx, UPS, DHL, regional carriers).
Can AI predict supply chain disruptions? +
AI can predict known disruption patterns (port congestion, seasonal swings, weather impacts). It can't predict black swans, but can shorten response time.
How do you handle messy logistics data? +
We start with a data audit. Then design ingestion pipelines that handle real data: EDI feeds, manual spreadsheets, carrier APIs, not the ideal.
What does a typical logistics engagement look like? +
A single AI workflow: routing, dispatch automation, document parsing, or yard ops, ships in 10-14 weeks. Multi-feature logistics suites that touch dispatch, customer comms, and back-office reconciliation run 14-20 weeks.
Tell us what you're solving for.
We'll listen first, ask the right questions, and follow up with a clear proposal.