Case study · Dallas Travel
Dallas Travel runs 575,000+ WhatsApp messages between travellers and Nour, an AI agent that refuses to guess.
Nour answers travellers on WhatsApp, day and night, with prices from the booking system.
Travel & tourism · Jordan
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Hi, is there a price for two nights in Istanbul, two people, 20 November?
11:40 pmReading the requestIstanbul2 nights2 travellers20 Nov
Checking the booking system
Handed to the team
The team sees every hand-off in its dashboard
Results
- 575,000+
- WhatsApp messages between travellers and Nour
- Counted in Nour's message log, both directions, WhatsApp only
- 48%
- of demand came outside working hours
- Conversations by the hour they started (6 pm to 9 am, Jordan time)
- 2,000+
- times Nour handed a traveller to the team
- Hand-offs recorded in the team dashboard
Where a person decides
- When the booking system has no price for a date, Nour says so and hands the traveller to the team.
- The team can step into any conversation.
The challenge
Travellers write to Dallas Travel on WhatsApp at every hour, and almost half of the demand arrives outside working hours.
A traveller asking for a price needs the right one. A wrong price costs more than a slow reply.
What we built
A traveller writes
On WhatsApp, at any hour.
Nour reads the request
Destination, dates, number of travellers.
Nour checks the booking system
Prices are read from the system, not from the model.
There is no price
Nour says so and passes the conversation to the team.
The team can step in anytime
Any conversation, at any moment. Every conversation is logged.
There is a price. Nour replies with it, from the booking system.
“The Devorise team stood by us: service, support, quality and accuracy.”(Translated from Arabic)Facing something similar?
Tell us where the work piles up. If it fits, we start with Assess & Design, where we agree what to build and where a person decides.
Talk to usYou decide. We answer for it.