Rivi work/almatar × Rivi

making travel search understand what people actually mean.

Rivi is working with almatar to bring intelligence directly into the search-results experience. Sort by Best improves how travel inventory is ordered by default, while Smart Sort lets travelers describe what matters to them and instantly personalizes the ranking.

sort by bestsmart sortwhatsapp aiai travel customer support

the best option isn’t always the cheapest.

Sort by Best ranks results around the complete travel decision - including price, convenience, itinerary quality, customer profile and trip context.

the goal is simple: put the option a traveler is most likely to value closer to the top.

almatar’s implementation already uses Rivi’s recommendation layer to intelligently reorder travel inventory rather than simply defaulting to price.

product visual coming soon‹before / after Sort by Best screenshot · business team to provide›

travelers don’t think in filters.

“less stop time.”
“hotel with a Nile view.”
“4 or 5 star Arabic-style hotel near the airport.”

Smart Sort understands requests like these and re-ranks the available inventory around what the traveler actually meant.

these are real free-text requests handled in the almatar implementation - the kind conventional filter systems cannot represent cleanly.

product visual coming soon‹Smart Sort query → re-ranked results video · business team to provide›

understand with ai. rank with recommendation intelligence.

LLMs are great at understanding what a traveler means. they aren’t the right tool on their own for reliably ranking hundreds of flights or thousands of hotels against live prices, convenience, customer profile and trip-specific preferences.

Rivi combines language understanding with custom travel recommendation engines built for that job. for flights, that means evaluating large result sets and balancing the trade-offs that actually matter. for hotels, it means finding the properties that best fit a nuanced request across potentially thousands of options.

the traveler gets a simple answer. the complexity stays underneath.

traveler intentrecommendation engineranked inventory

ranking at production scale.

the ranking layer runs against almatar’s live inventory inside the production search experience, on every request the search results page makes.

~200k
Rivi requests / day
provisional - these are Rivi/tool requests, not users, searches or bookings.

and search is only the start.

Rivi is also working with almatar on a broader conversational travel experience through WhatsApp AI and AI Travel Customer Support.

the experience is being designed around flight and hotel discovery through text + voice, multilingual interaction, grounded customer support and progressively deeper booking-management journeys - covering English + Arabic conversational travel discovery as well as support and later booking-management capabilities.

product visual coming soon‹almatar WhatsApp AI video · business team to provide›
product visual coming soon‹almatar AI Travel Customer Support screenshot · business team to provide›

build the next travel experience with Rivi.

book a demo