Intelligent optimization of distribution with matflow
matflow revolutionizes your distribution processes – with data-driven analysis, realistic simulation and continuous optimization through artificial intelligence. Our intelligent tool supports companies in making their distribution network efficient, cost-optimized and resilient.
Analysis of your distribution structure
matflow analyzes your existing distribution structure at the touch of a button: locations, customer allocation, delivery frequencies, transport costs and CO₂ emissions are displayed transparently. Based on historical movement data and master data, matflow identifies inefficient routes, overloaded hubs or unused bundling potential.
Simulation of scenarios
With the integrated simulation tool, alternative distribution scenarios can be tested realistically:
- Centralized shipping vs. decentralized supply
- Closure or opening of locations
- Changes to shipping cycles or delivery regions
- Effects on costs, time and sustainability
Every change is evaluated in terms of its economic and ecological impact – based on data and visually comprehensible.
AI agent for continuous optimization
matflow thinks with you: The integrated AI agent constantly monitors your data streams and automatically suggests improvements. With the help of modern machine learning algorithms, matflow recognizes patterns in demand curves, capacity utilization and delivery performance – and dynamically adapts distribution rules. This allows you to optimize not just once, but continuously.
Your advantages at a glance
- Reduce transportation costs by up to 20%
- Improve delivery performance and customer satisfaction
- Real-time recommendations through AI
- Flexible simulation of location strategies
- Support for CO₂ reduction in logistics
matflow – the future of distribution
With matflow, you can turn complex distribution networks into an optimized, transparent and agile supply structure. As a combination of analysis platform, simulation tool and AI-based control, matflow is the ideal partner for modern logistics and supply chain decisions.