Harpinder Singh

• Advanced data collection and integration – How can you aggregate data from multiple sources, including browsing behaviour, booking history, social media interactions, and realtime location tracking, to build a comprehensive traveller profile?

• How can you leverage machine learning and predictive analytics to be used to anticipate traveller preferences, recommend tailored itineraries, and deliver real-time, context-aware offers?

• Balancing personalisation and privacy – How can you implement hyper-personalisation while ensuring data security, compliance with regional privacy regulations (e.g., PDPA, GDPR), and maintaining traveller trust?

• Understanding traveller payment preferences – Analysing regional trends, preferred payment methods (e.g., digital wallets, BNPL, cryptocurrency), and spending behaviours to offer seamless and relevant transaction options

• Leveraging AI & data for personalisation – Using machine learning and predictive analytics to customise payment experiences, offer dynamic pricing, and provide tailored incentives based on traveller profiles

• Ensuring security & trust in transactions – Implementing fraud prevention, biometric authentication, and tokenisation to enhance security while maintaining a frictionless payment experience for travellers worldwide 

• How to leverage customer profiles for improved journey marketing

• How to tailor products to match customer history and behaviour

• How to implement a CDP successfully and pitfalls to avoid 

• How to keep customers loyal by providing a differentiated experience