Solutions
All AI Solutions in Detail
Each solution is individually tailored to your processes and systems.
Document chaos, reactive processes, overwhelmed teams — each of these solutions addresses a specific bottleneck in your supply chain. With measurable results backed by industry studies.
Transparency & Control
Know what's happening — before it becomes a problem.
85 %
based on real-time data
40 %
through proactive notifications
Predictive ETA & Shipment Tracking
Proactive transparency instead of reactive inquiries
AI-powered predictions from traffic, weather, and border crossing data. Automatic notifications on deviations — before your customers ask.
Features in detail
- Real-time integration with telematics & carrier APIs
- AI-powered updates on shipment status and traffic delays
- Detect and react to off-loads and misroutings faster
- Dashboard with live shipment overview
How it works
- 1 Telematics and carrier data is captured and consolidated in real time
- 2 AI calculates dynamic ETA considering real-time traffic data and route conditions
- 3 On deviations, all stakeholders are automatically notified proactively
Industry values based on data from leading visibility platforms (Transporeon, FourKites) and logistics studies.
60 %
in initial alert assessment
45 %
through proactive action plans
Proactive Alert Management
From alert to automatic action plan
On deviations — delays, temperature alerts, route deviations — AI detects anomalies via GPS loggers and dispatch systems, triggers the appropriate action plan, and manages escalation.
Features in detail
- Interfaces with GPS loggers, telematics systems, and dispatch software
- Automatic classification of alerts by type and severity
- Predefined action plans with automatic notification
- Complete documentation for compliance and audit
How it works
- 1 GPS loggers, telematics systems, and dispatch software provide real-time data — deviations are detected immediately
- 2 AI classifies the alert and selects the appropriate action plan with automatic notification
- 3 All steps are fully documented — ready for compliance and audit
Industry values based on alert management studies (project44, FourKites) and implementation data from the logistics industry.
Efficiency & Automation
Eliminate manual processes, relieve teams.
80 %
compared to manual entry
90 %
on structured documents
Intelligent Document Processing
From manual entry to automatic extraction
OCR and AI automatically extract data from freight documents, delivery notes, temperature logs, and customs documents — and transfer them directly into your systems.
Features in detail
- Automatic recognition of CMR, delivery notes, and customs documents
- Data extraction and system transfer in real time
- Validation against existing master data
- Escalation on missing or unclear documents
How it works
- 1 Documents are scanned via OCR and the document type is automatically identified (CMR, delivery notes, customs)
- 2 AI extracts relevant fields and validates them against existing master data
- 3 Data is transferred directly to ERP/TMS — discrepancies trigger automatic escalation
Industry values based on implementation studies from leading IDP providers (Abbyy, Rossum) and logistics digitization reports.
30 %
through more precise forecasts
25 %
through demand-based inventory management
Demand Forecasting & Inventory Optimization
From gut feeling to data-driven planning
AI forecasting from order history, seasonality, and market data. Less overstock, fewer shortages — automated and measurable.
Features in detail
- AI forecasts from historical and external data
- Automatic reorder suggestions
- Seasonal patterns and trend detection
- Integration with existing WMS/ERP systems
How it works
- 1 Historical order and consumption data is combined with external factors (season, market trends)
- 2 AI creates precise demand forecasts and generates automatic reorder suggestions
- 3 Shelf-life management and inventory optimization run continuously in the background
Industry values based on McKinsey supply chain analyses and implementation studies on AI-powered demand forecasting.
70 %
in damage classification
50 %
through AI-generated reports
Automated Claims Management
From manual effort to AI-powered efficiency
AI classifies damage reports, assigns responsibilities, and drafts responses — consistent, fast, and fully documented.
Features in detail
- Automatic classification by damage type and severity
- AI-generated response drafts and reports
- Automatic assignment to responsible departments
- Trend analysis for recurring damage causes
How it works
- 1 Incoming damage reports are automatically classified by type, severity, and responsibility
- 2 AI drafts responses and reports that the handler only needs to approve
- 3 Recurring damage causes are identified and compiled as trend reports
Industry values based on McKinsey claims management analyses and AI implementation studies (Entefy, BioPhorum).
Communication & Resources
Communicate smarter, plan better.
45 %
in daily deployment planning
20 %
through optimized assignment
AI-Powered Fleet & Driver Planning
From manual assignment to optimized deployment planning
AI optimizes daily vehicle and driver assignment considering leasing kilometers, driving and rest hours, service intervals, and GDP qualifications — for maximum utilization with minimal manual planning.
Features in detail
- Automatic driver-to-vehicle assignment based on availability and qualification
- Leasing kilometer tracking with automatic warning on overage risk
- Consideration of driving/rest hours, service intervals, and GDP training
- Optimized utilization of the entire fleet
How it works
- 1 Vehicle, driver, and order data is imported from TMS and dispatch software
- 2 AI optimizes assignment considering leasing km, driving hours, and maintenance schedules
- 3 Dispatchers receive ready-made deployment suggestions with reasoning and alternative options
Industry values based on fleet management system studies (ABI Research, Frost & Sullivan) and implementation data from transport logistics.
70 %
of routine phone inquiries
50 %
less manual call handling
AI-Powered Voice Bot
Automated communication around the clock
A voice bot automatically handles routine phone inquiries about shipment status, delivery times, and order details — 24/7, multilingual, with seamless escalation to dispatch.
Features in detail
- 24/7 availability without hold times
- Multilingual conversation handling
- Real-time connection to TMS and ERP systems
- Seamless escalation for complex inquiries
How it works
- 1 Incoming calls are answered by the voice bot and the request is captured via speech recognition
- 2 Shipment status, delivery times, and order details are retrieved from TMS/ERP in real time and communicated
- 3 For complex inquiries, a seamless handover to the responsible dispatcher takes place
Industry values based on Gartner contact center forecasts, IBM Conversational AI Reports, and Poly.ai implementation data.
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