AI & blockchain for logistics & supply chain
We engineer real-time visibility across the supply chain — track-and-trace, provenance, IoT and AI, tokenized documents and cross-border flows — where data spans many parties and has to stay accurate at scale.
For carriers and 3PLs modernizing operations, supply-chain startups launching new platforms, and logistics teams extending internal engineering capability.
Supply chains are distributed systems made of companies
Logistics software is hard because the data doesn’t belong to one party. A shipment’s truth is spread across shippers, carriers, ports, customs and 3PLs — each with their own systems, formats and incentives. Building real-time visibility means reconciling all of that into one trustworthy view, which is why shared ledgers, provenance and event-driven architecture matter so much here.
The data is messy and high-volume. It streams from IoT sensors, EDI feeds, scans and telematics — late, duplicated, sometimes wrong. Platforms have to ingest it at scale, clean and correlate it, and turn it into accurate ETAs, exceptions and forecasts. That’s a real-time data-engineering and AI problem before it’s an app.
And logistics is cross-border by nature. Customs documentation, trade compliance, and bills-of-lading carry legal weight and vary by jurisdiction. Getting document flows, provenance and tokenized instruments right — while integrating with carrier, WMS and ERP systems already in place — is where the engineering risk concentrates.
Systems we ship for logistics & supply chain
Track-and-trace & provenance
Shared, tamper-evident ledgers that give every party one accurate view of where goods are and where they’ve been.
Real-time visibility platforms
Event-driven platforms that turn scattered shipment data into live status, ETAs and exception alerts.
IoT + AI ingestion
Pipelines that ingest sensor, EDI and telematics data at scale and correlate it into clean, usable signals.
Tokenized bills-of-lading
Digital, transferable trade documents and instruments backed by smart contracts.
Cross-border document flows
Customs and trade-compliance document workflows built for multiple jurisdictions.
Fleet & warehouse platforms
TMS/WMS-class platforms and AI forecasting for demand, capacity and routing.
Six capabilities, pointed at logistics
Every Magnus Mage service maps to a concrete need in this sector. Follow any of them for the full capability.
Provenance, shared ledgers and tokenized bills-of-lading across parties.
Demand and ETA forecasting, anomaly detection and route optimization.
Trade finance, tokenized documents and cross-border payment flows.
Fleet, warehouse and TMS platforms with carrier/ERP integrations.
IoT-scale ingestion infrastructure and real-time observability.
Architecture, integration strategy and supply-chain data audits.
For carriers and 3PLs modernizing operations, supply-chain startups launching new platforms, and logistics teams extending internal engineering capability.
What working with us changes
Lower execution risk
Provenance, reconciliation and integration designed in, so multi-party rollouts don’t stall on data disputes.
Faster time to launch
Proven visibility, ingestion and provenance patterns mean you’re integrating, not inventing, the plumbing.
Long-term ownership
Documented, tested platforms your own team can operate at scale — you own all code and IP.
One accountable partner
A single team from architecture through operations, accountable across the whole platform.
Supply-chain & provenance builds
Fleet and vehicle tracking
DeliveredPermissioned-blockchain vehicle tracking and fleet data integrity · Hyperledger · delivered 2019–2022
Read case study →CreataChain
Provenance L1Layer-1 with on-chain provenance and tokenized instruments relevant to supply chain — tokenized instruments and on-chain provenance for goods moving between parties.
Read case study →How logistics teams work with us
Common first step — map the parties, data sources and integration surface before building.
Prove a provenance model or visibility pipeline with real partner data before scaling.
Typical for startups launching a new supply-chain platform end to end.
Extend an in-house team with data, IoT and blockchain specialists under your direction.
Common for carriers and 3PLs — an independent review before a modernization program.
Take over a stalled build or modernize legacy TMS/WMS systems incrementally.
Operate, monitor and harden production visibility platforms under SLA after launch.
Logistics & supply-chain questions
Talk to our team about your logistics build.
Tell us what you’re building. We’ll come back within 2–3 business days with a scoping call — no sales runaround, straight to our team.