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Travel marketers can use this technology to help travelers fashion a more personalized travel plan and allow them to book with greater confidence. By combining NLP and ML, travelers can request specific trip characteristics and be presented with a set of results that best match. For example, showing insights and images that are relevant to families when searching for a room with 2 adults/2 children. Providing increased accuracy in the results leads to the increase in likelihood of the traveler completing that booking; improving both conversion and brand loyalty. This personalized conversion and engagement capability can be extended through the traveler’s entire journey. From pre-arrival communications to an in-destination app or kiosk, travelers can experience any destination like a local. As customers engage and use the technology, their experience and commitment to a brand grows deeper. For travel marketers, that means: Increases in direct bookings More website stickiness / engagement More social shares Greater customer trust Higher perceived value Increased brand loyalty Gain deeper customer insight In addition to enhancing customer interaction, companies can also capture the buyer-focused intelligence they need to make better marketing and operational decisions. By integrating cognitive computing into their CRM, marketers can reap deep insights from their customers’ declared, observed, and inferred inputs. For example, if a hotel notices an increase in “Where can I find live music?” queries, they can target those specific customers with music related marketing and messaging. Discovering these sorts of opportunities to promote targeted personalization increases the likelihood of repeat business and long-term loyalty. 9