AI for Logistics & Transport

Automate freight documentation, optimize routes, forecast demand. We make your logistics data-driven — pragmatic, GDPR-compliant, and measurable.

70%

less manual effort in document processing

12%

fuel savings through AI route optimization

200+

shipments per day processed automatically

3–6 mo.

to positive ROI

Sound familiar?

We see these challenges in logistics companies across the SME sector.

Manual freight documentation

CMR waybills, delivery notes, customs documents — all captured, copied, and filed manually. A full-time job that shouldn't be.

Inefficient route planning

Routes are planned by experience, not data. With short-notice changes, flexibility is lacking — fuel and time are wasted.

Reactive inventory planning

Overstocking ties up capital, shortages cost customers. Without demand forecasts, warehousing remains an expensive guessing game.

Lack of shipment visibility

Where is the shipment? When will it arrive? Without real-time tracking, your team answers these questions all day — manually.

AI Solutions for Logistics

Four building blocks for a more efficient supply chain.

Automated Freight Documentation

Automatically recognize, classify, and process CMR, delivery notes, and customs documents. AI-powered OCR with over 95% accuracy.

OCR for waybills, delivery notes, customs docs
Automatic classification and data extraction
TMS/ERP integration
Error rate below 1%

AI Route Optimization

Optimal routes in real-time — considering traffic, time windows, and vehicle capacities. Saves fuel and CO₂.

Real-time route calculation
Time window and weight constraints
Dynamic re-routing on changes
10–15% fuel savings

Predictive Demand Planning

Demand forecasts based on history, seasonality, and external factors. Less overstocking, fewer shortages.

ML-based demand forecasting
Automatic reorder suggestions
Seasonality and trend analysis
25% reduction in stockouts

Real-Time Shipment Tracking

Automated tracking updates and proactive customer communication. Your customers stay informed — without your team making calls.

Automatic status updates
Proactive delay notifications
ETA prediction with ML
Customer self-service portal

How an AI project in logistics works

Four phases — from consultation to scaled solution.

1

Analysis

Free initial consultation (30 min). We identify the process with the greatest automation potential in your logistics.

2

Pilot Project

Implementation in 4–8 weeks. Measurable proof with your real shipment and transport data.

3

Integration

Connection to TMS, WMS, and ERP systems. Seamless integration into existing workflows.

4

Scaling

Roll out to more locations and processes. Training your team for independent operation.

Results from practice

Concrete results that logistics companies have achieved with our AI solutions.

Freight Mid-sized freight company, 200+ shipments/day

Challenge

Freight documents were manually processed — 15 minutes per shipment. With 200+ shipments, an enormous time investment.

Solution

AI-powered document processing: automatic recognition, classification, and data extraction via OCR + ML.

70% less manual effort
< 1% error rate
Transport Transport company, 80 trucks

Challenge

Route planning was done manually based on experience. High fuel costs and suboptimal utilization.

Solution

AI route optimization with real-time traffic data, time window constraints, and dynamic re-routing.

12% fuel savings
15% better utilization
Warehousing Logistics provider, 150 employees

Challenge

Inventory planning was based on experience. Frequent overstocking alongside supply shortages.

Solution

ML-based demand forecasting with automatic reorder suggestions and seasonality analysis.

25% fewer stockouts
18% lower inventory costs

What can AI save in your logistics?

Calculate your savings potential in 2 minutes — free and no obligation.

FAQ: AI in Logistics

Answers to the most common questions.

How does AI integrate with our TMS?

We integrate with common transport management systems via APIs or file interfaces. Even older systems without modern APIs can be connected — we find a way.

Does route optimization work with short-notice changes?

Yes, that's exactly what AI route optimization is built for. The system automatically recalculates the optimal route with every change (new orders, cancellations, delays).

What data do we need to get started?

For document processing: your existing documents (waybills, delivery notes). For route optimization: order and address data. For demand planning: 12+ months of order history. We start with what's available.

What about GDPR for shipment data?

We process shipment data GDPR-compliantly in European data centers. Personal data (recipient addresses) is handled according to data protection requirements.

What does an AI project in logistics cost?

Pilot projects start from €10,000. Typical projects range between €15,000 and €35,000. Payback typically occurs within 3–6 months.

How quickly will we see results?

Document processing: first results after 2–3 weeks. Route optimization: immediately after implementation. Demand planning: 4–6 weeks of learning time for the ML model.

Is there funding available for logistics AI?

Yes, many funding programs cover digitalization in logistics. We support you with the assessment and application. More on our funding page.

Ready for AI in your logistics?

30-minute consultation — free and no obligation. We analyze your automation potential and show concrete next steps.