Putting together a personalised trip proposal forced agents to gather information from many different sources: past experiences, suppliers, availability, prices. According to the company itself, the process took around two and a half days on average. In a business where clients ask for several options at once, that slowness costs sales.
We built a back office with an AI-assisted itinerary generator that reuses the catalogue of experiences and the preferences gathered from the client to propose a first version to work from. Around it, case file management, suppliers and budget generation.
Creating itineraries became centralised in a single tool that starts from knowledge the company has already accumulated, instead of rebuilding each proposal from scratch.
For confidentiality reasons, some details in this case are presented in anonymised or aggregated form. Images are illustrative and may not show real product screenshots.
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