Division Supply Chain Services at Fraunhofer IIS
We analyse location characteristics, structures and interrelationships within the logistics, retail and manufacturing sectors. Our aim is to increase market transparency by providing players at federal, state, regional or property level with up-to-date, neutral and multi-layered information. The analyses are based on geodata and statistics enriched with machine learning (ML), for example in the context of employment, land availability or traffic intensity.
For this task, we analyse spatial objects such as logistics properties, brownfield sites and railway sidings. This is done using AI-supported image recognition processes that utilise automated pattern recognition in satellite images, for example. The objects identified in this way are classified and clearly localised geographically using geocoordinates.