ANAHEIM, Calif.--(BUSINESS WIRE)--iinside, the leader in indoor motion analytics for airports, today announced that Steve Moody has been named VP of Sales and Business Development. Moody will be chiefly responsible for driving revenue, airport relations, client development, partner management and project expansion.
“Steve has a keen understanding of the challenges and nuances of operating in the airport environment and his leadership and experience will be incredibly valuable for connecting with airport business and technology decision makers,” said Sam Kamel, President and CEO of iinside. “I’m excited to promote Steve to this important leadership role and I look forward to his success with expanding customer adoption and forging new revenue growth.”
Moody has over 24 years of experience in developing businesses in airports. He began his airport career in 1994 with Ackerley Airport Advertising and has since worked for JCDecaux, Corey Airport Services and most recently Lamar Airport Advertising.
iinside provides analytics and business intelligence for managing passenger flow through airports – from security checkpoints to retail space – in order to empower airports and airlines with data and insights required to improve operations, raise customer satisfaction and create new revenue streams.
“I’m excited to advance my position with iinside as the interest in building smarter airports through our motion analytics platform, recently enhanced with LiDAR, is on the rise,” Moody said. “The opportunity to improve airport operations and raise passenger satisfaction is large and just now being tapped into. iinside already serves several major airports and with several more soon to be announced. Our data-driven passenger flow solutions are the future of airport management.”
For more information about iinside and to learn more about indoor motion analytics for better airport management, visit www.iinside.com.
iinside is the leader in indoor motion analytics for airports and other large public venues. Its platform integrates data from LiDAR and Bluetooth sensors, Wi-Fi hotspots and mobile services – and generates business intelligence to analyze and manage the indoor flow of people. Our solutions apply machine learning to help smart airports better manage passenger movements - reducing bottlenecks through real-time visibility and predictive analytics. We distribute our information through our Smart Travel API Platform, enabling a range of applications – from ride-share information services to travel planning solutions - that can forecast wait times and estimate ‘time-to-gate’. Using our data, Airports are better serving travelers, improving passenger satisfaction and creating new revenue opportunities.