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Photograph: (Pietro De Grandi_Unsplash)
New tool analyses 30-day fare history to guide booking decisions
Cleartrip, a Flipkart company, introduced ‘Price Trends’, a new feature aimed at helping travellers make informed flight bookings by reducing uncertainty about fare movements.
The feature analyses historical pricing data from the last 30 days and displays a clear booking signal directly on the search results page. It indicates whether the current fare for a selected route and date is lower than usual, typically priced, or higher than average, along with the price difference.
Price Trends is available for flights booked up to 60 days before travel. By surfacing pricing context at the point of search, the feature is designed to help users decide whether to book immediately or wait, without manually tracking fares over time.
Manoj Awasthi, Chief Technology and Product Officer, Cleartrip, said, “Price Trends marks the first step in Cleartrip’s larger pricing intelligence roadmap. We have built it based on a simple idea that ‘transparency creates trust.’ By combining historical data with trend analysis, we are giving travellers a clear, actionable view of pricing instead of leaving them to speculate. As we continue to strengthen this, we will also layer in smarter alerts, deeper insights and predictive capabilities powered by AI that proactively help travellers stay ahead of price movements and make the right booking decision at the right time.”
Arnav Sharma, Group Product Manager, Cleartrip, added, “We know that for most travellers, the 'book now or wait' dilemma is a huge source of anxiety. With Price Trends, we’re taking the guesswork out of the equation. Instead of forcing people to manually track fares and stress over price jumps, we’re giving them a clear, data-backed signal right on the app. This kind of contextual intelligence significantly improves confidence, making the booking experience feel less like a gamble and more like a well-informed decision.”
Cleartrip stated that the feature forms part of a broader effort to address fare-related uncertainty in travel planning. The platform is currently developing an AI-powered price prediction model to help travellers anticipate fare movements and choose the most suitable time to book.