Using, the transaction data provided by you, maya.ai finds the spend behaviour of every individual customer at their base location.
maya.ai can produce insights to the behaviour of the individual while travelling also identify pattern of travel if any.
Based on the behaviour exhibited in the past, using Crayon's custom algorithms, maya.ai identifies each individual's affinities in different categories. The affinities can be at a named entity level (e.g Mc. Donald's) or at an attribute level (e.g Fast Food, Burgers, Kid Friendly Menu etc.)
Some of the global trends in outbound travel from an origin. The outbound travel market size in terms of travelers and spends, search intents, spend pattern etc.
Depending on what we know about the user visiting the digital asset, the entire landing page or a part of it can be personalised.
A travel bot that can allow the customer to converse with the platform in a natural language. The bot can get the intent and other details of what the customer is looking for.
Based on the customer's taste, behaviour and context, maya.ai can recommend individual items or intelligently bundle multiple products together to give the customer personalized itinerary made up of products in the marketplace.
maya.ai.ai can identify opportunities to send campaigns to customers in real-time or near real time based on transactions or customers behaviour on the platform.
maya.ai marketplace allows you to onboard partners, services and products. It also predicts what segment of customers will probably use the new service / product.
maya.ai marketplace tracks the performance of each product and product provider. It can report in depth analysis of the consumption and consumers of these products and services.
maya.ai can help identify the type of product(s) most likely to be consumed given the target segment.
When will you get maya.ai? Assuming that all the data is shared today, these are the timelines
Note: The dates are applicable if maya.ai for travel is hosted in Crayon's environment. The timeline for hosting in client environment depends on various other factors like client IT clearance, security clearance, infrastructure setup and other processes.