Data analytics in logistics

Most Popular Insights


Knowledge is power. If companies receive timely information on delays in the logistics chain, warehouse and transport resources can be organized more efficiently. Or more precisely customize manufacturing, store, delivery, and campaign plans. And replenish transport routes. But this requires data that is updated on a daily basis. Therefore, the Data Intelligence Hub from Deutsche Telekom bundles all information on routes, traffic situations and weather conditions along the route. Data analytics from a wide variety of data sources, such as shipping companies and ships, suppliers, weather services and shipping offices, make this possible. Information on storms, wars or piracy completes the data collection.


Achieving more together. The more stakeholders in the logistics chain share their data and information, the more accurate the forecasts become. The database for this is available via the Data Intelligence Hub. The analytics are developed by competition-neutral Telekom Data Scientists and made available to all users. This neutrality enables the members to provide competition-neutral data. All users have data sovereignty at all times and determine the useful life and intended use. Deutsche Telekom guarantees that data will be used for the intended purpose. On top of this, customers have the option of simply, transparently and securely tapping additional sources of income by monetizing their own databases.

Chris S. Langdon
Chris S. Langdon

Business Lead, Data Analytics Executive, Catena-X Product Manager

Read more