Route & trip planning
Analyses traffic, order and location data in real time and automatically optimises routes, delivery sequences and vehicle utilisation.
Delays, congestion or inefficient routes can be detected and avoided at an early stage.
Routes, shipments, fleet, dispatch and customer communication — optimised, predictive and with clear delivery transparency.
Use case 01
Routes, utilisation, delivery status, fleet data, warehouse and compliance KPIs — condensed in one interface, always up to date.
The AI logistics dashboard condenses operational and strategic KPIs from dispatch, tracking, fleet, warehouse and customs into one interface. Delays, utilisation, maintenance needs and early-warning indicators are surfaced automatically — without manual reporting work.
Management, dispatch and fleet leadership see at any time where operations stand — and can intervene exactly where needed.
How it works
We connect TMS, telematics, warehouse and ERP systems and other data sources — securely, locally and without data leaving your company.
KPIs, reports and early-warning rules are tailored to your routes, fleet and compliance requirements.
We support and optimise continuously — the dashboard grows with your processes and requirements.
Use case 02
A direct contact point for dispatch, drivers, customer service and administration — based on your own route, shipment and contract data.
The AI assistant answers concrete questions about shipments, routes, warehouse stocks, freight documents or regulatory topics — context-aware and traceable, based on your internal data and records.
Dispatch, customer service and administration save time on research, inquiries and status updates. Complex questions are answered in natural language — with references to the underlying transactions.
Use case 03
Freight contracts, customs regulations, SOPs, route knowledge and experience — accessible through a single question.
The knowledge management platform provides an intelligent, central access point to all logistics-relevant documents: freight contracts, customs and dangerous goods regulations, SOPs, route knowledge, internal instructions and experience from past trips.
Research times drop to minutes, new employees are productive faster, and senior know-how is preserved when people leave. Knowledge becomes a shared tool for all dispatch and administrative teams.
Use case 04
Ten areas where AI agents relieve dispatch, tracking, warehouse, fleet and compliance and accelerate processes.
Analyses traffic, order and location data in real time and automatically optimises routes, delivery sequences and vehicle utilisation.
Delays, congestion or inefficient routes can be detected and avoided at an early stage.
Supports the automatic assignment of vehicles, drivers and orders based on availability, capacity and priorities.
Resources can be planned more efficiently and utilisation improved.
Continuously monitors deliveries, produces ETA forecasts and detects delays or deviations early.
Customers and dispatch can be informed faster and processes managed better.
Automatically analyses warehouse and movement data and supports stock optimisation, picking and material flow control.
Bottlenecks, empty runs or inefficient processes can be detected faster.
Processes transport and customs documents via OCR, validates content automatically and transfers relevant data into existing systems.
Incorrect or missing data can be detected at an early stage.
Continuously analyses vehicle and sensor data and identifies potential maintenance needs or anomalies at an early stage.
Maintenance can be planned more predictively and failures reduced.
Creates automatic status updates, answers standard inquiries via chatbots and proactively informs customers about delivery status or delays.
Communication processes can be made significantly more efficient.
Analyses historical transport and order data and produces volume forecasts, seasonal analyses and capacity predictions automatically.
Fluctuations and future demand can be planned more effectively.
Automatically monitors processes for compliance with legal requirements, internal guidelines and quality standards.
Risks, deviations or potential violations can be detected at an early stage.
Continuously analyses operations and logistics data and produces KPI dashboards, cost analyses and performance reports automatically.
Inefficiencies and optimisation potential become visible faster.