Log-hub, a leading provider of supply chain analytics solutions, has appointed Sandro Brändle to its Executive Management Team as Chief Data and Analytics Officer (CDAO), effective April 1. With a background in computer science, he will contribute his wide-ranging expertise to support Log-hub’s customers in the logistics industry with efficient data management and AI-based solutions.

“Sandro Brändle is an experienced IT expert, and we’re delighted to welcome him to our team. His expertise means that we can even better support our customers in the logistics sector in optimizing their supply chains with the help of efficient data management, advanced analysis methods, and artificial intelligence. Artificial intelligence will help our customers organize their supply chains more cost-efficiently by using more accurate forecasting. For instance, they will be able to make projections about demand for transport and storage capacity based on data and the latest trends,” remarked Jan Sigmund, Co-CEO of Log-hub.

Sandro Brändle

The new CDAO brings wide-ranging experience from his work as an IT consultant in the insurance sector and as a teamleader ICT Data Exchange at the Zurich Airport AG. Brändle is determined to support Log-hub customers in using data more efficiently and optimizing their supply chains: “We are nowhere near leveraging the full potential of data in supply chains. As Chief Data and Analytics Officer, I will help make our customers’ relevant and high-quality company data available for every user in a simple and reliable way. My goal is to empower our customers so that they can organize their logistics processes in a cost-efficient manner using automated data management, data analysis, and artificial intelligence,” said Sandro Brändle.

With the appointment of Sandro Brändle as CDAO, Log-hub is expanding its consulting expertise for the logistics industry in order to support customers even more intensively in their individual challenges related to data. The focus is on the development and introduction of an optimal analytics and AI infrastructure for the storage, transformation, processing and visualization of data. The selection and implementation of supply chain-relevant key performance indicators (KPIs) and forecasts round off the service.