Enhancing Concessionaire Management through Airport Retail Analytics solution
In recent years, the significance of airport ancillary revenue has become increasingly apparent. Traditionally, the focus has been on direct revenue from aircraft and passenger operations. However, attention is now shifting to ancillary services such as leases, parking fees, concessionaires, and more.
In May 2022, the Airports Council International (ACI) World released a White Paper highlighting commercial business strategy to help retail stakeholders leverage airports for growth and increased sales as passenger traffic rebounds. It also examines the legislative and regulatory policies affecting airport retail.
According to the latest report by Technavio on the airport ancillary revenue market, the sector is expected to expand at a compounded annual growth rate (CAGR) of nearly 8%, with an anticipated increase of USD 32.5 billion between 2021 and 2026. Concessionaires, including retail shops, car rental agencies, bars, food service companies, and coffee shops, play a crucial role in this growth. Effective concession contract management is essential to the airport revenue model.
Harnessing Data for Concessionaire
Contract Management
Managing concessionaire contracts involves various tasks, but with the smart use of data, artificial intelligence, and machine learning, these can become streamlined and precise. AI-driven solutions that capture concessionaires’ Point of Sale (POS) data in real-time can prevent revenue leakage, ensuring accurate income computation for airports.
Role-based analytics for real estate management, retail stores, food and beverage outlets, duty-free shops, car park utilization, and other ancillary units provide valuable insights into the entire ecosystem. This empowers airports to manage concession contracts more effectively, making data a critical component of concessionaire revenue and contract management.
The Role of IoT in Concessionaire
Revenue Management
Implementing the Internet of Things (IoT) is key to operational efficiency and revenue generation. IoT relies on three main components: devices, sensors or internet connectivity, and data analytics. When combined with machine learning, these analytics can help airports:
IoT devices capture transaction receipts and billing orders in real-time, sending this information to a central server. This real-time automated sales data capture allows airports to analyze, audit, and monitor concessionaire sales accurately. Airports can also send promotional messages or coupons to passengers’ smartphones, encouraging upsales and cross-sales.
Impact of Retail Analytics on
Concessionaire Contract Management
Conclusion
Technology unites all stakeholders, including concessionaires, to enhance the customer experience and maintain a balanced airport ecosystem. Integrating airport retail analytics technology benefits everyone—airport authorities, asset owners, customers, and concessionaires—ensuring a win-win situation for all.