make large inventories easier to choose from.
use ai to understand nuanced traveler preferences, rank results intelligently and help users get to the right option faster.
why now
when inventory is enormous, another filter is less valuable than understanding what the traveler actually means and ranking accordingly.
traditional ux → ai-native surfaceswhat Rivi can power
the products that matter most for metasearch
01
smart sort
the same results, reordered around preferences
explore
02
sort by best
a smarter default order for your results
explore
03
smart filters
filters generated from plain language
explore
04
ai mode
one input that routes to the right experience
explore
05
ai chat
a full conversational travel assistant inside your app
explore
06
voice ai in-app
spoken search and booking inside your app
explore
07
app inside chatgpt
your inventory, bookable inside chatgpt
explore
08
claude connector
connect your travel stack to Claude
explore
business impact
01
higher click-through + conversion
put the most relevant option first.
02
faster time-to-answer
less scrolling and filtering to decide.
03
new demand captured
understand searches filters cannot express.
04
personalization
rank around what each traveler means.
measured against your baseline · availability varies by deployment
integration
Rivi connects to your existing inventory, booking, servicing and business-rule systems - and every product reuses that foundation.
search apisbooking apisservicingbusiness rules
build the ai layer your customers will actually want to use
search. support. booking. everywhere your customers are.
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