Logistics on Autopilot. Powered by AI.
While your team struggles with document chaos, compliance deadlines, and staff shortages, we automate the processes that cost the most time — measurable, with your existing systems.
Sound familiar?
Three challenges that slow down logistics companies every day.
Document Chaos
CMR, delivery notes, customs documents — manual processing costs hours. Faulty documents delay shipments and create follow-up costs.
Staff Shortages Meet Growing Complexity
Experienced dispatchers retiring, supply chains growing more complex. Remaining teams at capacity — errors and delays increasing.
Reactive Instead of Proactive
Exceptions discovered too late, customers learn about delays after the fact. Late reactions cost one thing above all: trust.
Behind every one of these problems lies the same feeling: You know things could be better — but there's no time for change in day-to-day operations.
Logistics deserves better tools than Excel and gut feeling.
We know these challenges
Over 15 years in logistics. We've experienced firsthand how complex supply chains overwhelm teams — and how AI-powered automation changes that.
That's why we identify the modules with the highest leverage and implement them. Transparent, measurable, and approval-first.
15+
Years Logistics Experience
7
Proven Automations
4–6 wks
To Proof-of-Value
100%
Approval-first
Our AI Solutions
Seven proven automations that make your logistics measurably more efficient.
Predictive ETA & Shipment Tracking
AI-powered predictions from traffic, weather, and border crossing data. Automatic notifications on deviations — before your customers ask.
Intelligent Document Processing
OCR and AI automatically extract data from freight documents, delivery notes, temperature logs, and customs documents — and transfer them directly into your systems.
Proactive Alert Management
Demand Forecasting & Inventory Optimization
Automated Claims Management
AI-Powered Fleet & Driver Planning
AI-Powered Voice Bot
Industry values based on published studies from leading providers and analysts (McKinsey, Gartner, Transporeon, FourKites). Individual results may vary.
Three steps to AI automation
From analysis to production — transparent, measurable, at your pace.
Step 1
Analysis Call
30 minutes, freeWe analyze your logistics processes and identify the biggest AI levers — transparently documented, no obligation.
Step 2
Pilot Project
4–6 weeksOne use case, your data, measurable proof of value. You see the ROI before you scale.
Step 3
Scale
At your paceGradual rollout, module by module. Every step validated and documented.
What your day looks like after
Your team starts the day. The inbox shows 5 emails, not 50. Friday's documents? Already extracted, validated, and in the system.
A temperature alert triggers. But instead of manual crisis management, your team sees the action plan already executed — customer notified, documentation complete.
The weekly demand forecast is ready. No spreadsheet marathon — the system has generated reorder suggestions based on historical data.
Your dispatchers leave on time. Tomorrow's fleet planning is already optimized. The Voice Bot handles remaining calls.
40 %
faster processing
60 %
fewer escalations
30 %
less overstock
70 %
automated calls
Conservative estimates within published study ranges (McKinsey Supply Chain Analytics, Gartner SCM Report 2024, FourKites & project44 Benchmarks, IBM Conversational AI Report). Individual results may vary.
This is what it could look like. But what happens if nothing changes?
What happens if nothing changes?
SLA penalties rise
Late deliveries, missed compliance deadlines, growing contract penalties. Every manual delay costs — not just money, but customer relationships.
Your best team leaves
Burnout from repetitive processes, experienced dispatchers retiring, knowledge leaving the company. And the job market offers no replacement.
The industry moves on
Competitors who automate early gain structural advantages. Waiting is not neutral — it costs.
It doesn't take a big overhaul. Just the first step.
Free Analysis CallReady for the next step?
In a free 30-minute call, we analyze your logistics processes and show you exactly where AI has the biggest impact.
Frequently Asked Questions
Answers to the most important questions about AI automation in logistics.
How quickly will we see results?
The pilot project delivers first measurable results after 4–6 weeks. The initial analysis call identifies quick wins — use cases with the best effort-to-impact ratio. So you quickly see what AI can concretely achieve for your business.
Do we need to change our TMS/WMS/ERP?
No. Our solutions integrate into your existing system landscape. We work tool-agnostically and rely on interfaces (APIs) to the systems you already use — whether SAP, Oracle, Descartes, CargoWise, or others. No vendor lock-in.
What does implementation cost?
Costs depend on the scope and complexity of the chosen use cases. The analysis call is free and non-binding. After that, you receive a transparent fixed-price quote — no hidden costs, no ongoing license fees from our side.
Where does our data stay?
In your infrastructure. Our operating model: each customer runs their own automation platform and independently contracts with AI providers. We are technical consultants — not data processors. No data export without your explicit consent.
What company size is this for?
Our solutions are designed for mid-sized and large logistics companies — typically from 20 employees with their own dispatching or warehouse operations. What matters is not size, but the presence of repeatable processes that benefit from automation.
What industries do you cover?
We work across logistics sectors: freight forwarding, contract logistics, pharma distribution, food logistics, automotive suppliers, and more. Wherever supply chains are complex and manual processes cost time and money.