Club Mahindra: How Club Mahindra Uses Technology to Personalize Family Vacations

A More Personal Family Holiday: Planning a family holiday involves more than choosing a destination. Resort preferences, travel history and booking convenience all shape the experience. Club Mahindra uses digital tools and AI-based recommendations to help members discover suitable resorts and plan their holidays.

AI-Powered Resort Recommendations: Mahindra Holidays has reported using an AI-powered resort recommendation engine across its digital platforms. The system uses member behaviour and preferences to suggest relevant resort options. This can make the discovery process more personal than browsing a long list of destinations.

Matching Resorts to Preferences: Some families want mountain views, while others prefer beaches, nature or activity-filled stays. Recommendation technology can help narrow the options using available preference and travel-history signals. The final choice still rests with members, who can compare destinations and decide what suits them.

Digital Booking and Planning: Club Mahindra's member app and website are designed to make resort discovery and booking more convenient. Mahindra Holidays reported that 83.4% of total bookings came through digital channels in FY2024–25, highlighting the growing role of online holiday planning.

Support Before and During the Stay: Digital services can help members access resort information and request certain services during their stay. Club Mahindra's app provides resort details and service-request options. These tools can reduce the need to search for information manually, although specific services vary by resort.

Better Planning for Different Families: Families have different travel styles, budgets and activity preferences. Resort information and digital planning tools can help them compare available options before travelling. Personalisation is most useful when it supports real choices, helping parents plan a comfortable stay without taking control away from them.

Technology Behind the Experience: Recommendation engines rely on data, software and models that identify useful patterns. Club Mahindra's parent company has described using AWS Personalize for resort suggestions. Such systems can support tailored recommendations, while service teams remain important for questions and individual travel needs

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