Indian Transport & Logistics

BIAL and Siemens ink MoU for cooperation on digital transformation

14 September, 2018: Siemens Postal, Parcel

BIAL and Siemens ink MoU for cooperation on digital transformation
Contract signing ceremony with Javed Malik, COO of BIAL (center, left), and Kadir Dindar, Head of Digital Business at SPPAL (center, right)

14 September, 2018: Siemens Postal, Parcel & Airport Logistics (SPPAL) and Bangalore International Airport Limited (BIAL) - operators of Kempegowda International Airport, have signed a MoU to jointly drive the digital transformation of the BLR Airport. The declaration of intent envisages cooperation in a number of areas, including the digitalisation of existing infrastructure through the use of Internet of Things (IoT) applications.

The solutions rest on MindSphere, the open cloud-based IoT operating system from Siemens, which will work with BIAL in the simplification of its processes, increase efficiency and continue to improve the customer experience. BLR Airport is the third busiest airport in India, having handled over 25 million passengers in 2017.

“Our aim is to introduce more digitally advanced, innovative services and products at the BLR Airport to ensure that passengers and partners have the advantage of future forward technologies, in a seamless operating environment. Siemens has always worked closely with BIAL as both investor and technology partner. With the signing of the MoU for digitalisation, we are once again gearing up for a leading position in India together with SPPAL,” said Hari Marar, managing director and CEO of BIAL.

One of the aims of the collaboration between Siemens and BIAL is the standardised, secure real-time exchange of quality-assured data. The measure is designed to increase transparency and thus improve processes between the various stakeholders at the airport.

A further aspect involves the implementation of innovative service methods for the baggage handling system installed by Siemens in Bengaluru. Predictive maintenance, for instance, will allow system availability to be increased and spare parts management to be optimised. State-of-the-art data analysis and Artificial Intelligence are just some of the technologies being considered to this end.

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