Geolocation analytics developed specifically for logistics real estate markets

Kania logistics analytics is a geolocation based model framework based on large scale alternative data processing of logistics activityimpacting demand for logistics/industrial space. It is designed to provide predictive information about logistics markets, submarkets and specific geolocations. It also helps to identify how attractive a location is compared to other locations within its market or other markets, if the location is improving (logistics activity at location is increasing) or deteriorating (logistics activity at location is stagnating/decreasing) making the location less attractive.

Data processing is based on geolocation specific networks and flows, incorporating satellite information and machine learning (ML) data processing. Locations are assessed based on drive-time weighted access to and flow of goods at freight handling locations within a network and estimate of transport vehicle flows on major distribution roads at geolocation based on large scale ML information processing. This flow information combined with demographic and physical market attributes provides unique and granular insights into logistics activity nowcasting with predictive characteristics to inform better investment, asset management, operational and risk management decisions.