Rakuten (RKUNY): AI Travel Orders Average 13% Higher

Rakuten Group, Inc. (RKUNY) said on August 10, 2026, that its AI travel booking experience now connects discovery and booking in one flow. AI-assisted bookings had a 13% higher average order than bookings that did not use AI, although the company did not translate that difference into incremental travel gross transaction volume or revenue.[1]

Rakuten Group operates internet services spanning e-commerce, fintech, mobile communications, and digital content. Rakuten Travel is its accommodation-booking business for travelers, and the platform's transaction volume is an important operating indicator. Rakuten AI for Travel is a conversational travel assistant embedded in this core business: users can compare destinations, find hotels, and complete accommodation bookings in the same flow. It serves the actual travel decision and transaction process rather than a back-office function.

From hotel search to a complete booking flow

The application has gradually extended across more of the booking journey. On the May 14, 2026, earnings call, Rakuten described an AI concierge that helps users search for hotels, discuss destinations, and complete bookings as if they were speaking with a travel agency.[2] By August 10, management presented the same workflow under the Rakuten AI for Travel name and explicitly described an integrated experience from trip discovery through booking. The public description had advanced from a feature overview to a measurable order result, with no indication that the application had been incorporated into Rakuten AI Super Agent.

What the 13% higher average order shows

The latest result indicates that the average order for an AI-assisted booking was 13% higher than for a booking that did not go through AI.[1] The comparison directly covers bookings in which the application participated and shows a higher value per transaction among AI users. However, Rakuten did not disclose absolute order values, the measurement period, sample size, or the volume of AI-assisted bookings. The result therefore does not show how much of the business used the AI flow and cannot support an estimate of overall revenue growth.

If the higher average order persists across enough bookings, the most direct business effect would be higher Rakuten Travel gross transaction volume, potentially generating additional commission or service-fee revenue. However, order mix, destination, accommodation prices, seasonality, and the share of family or group travel can all affect average order value. Rakuten Travel's overall transaction volume also depends on traffic, supply, market demand, and other factors, so growth in the business cannot be attributed to this AI application.

Rakuten has moved the travel assistant into a limited production workflow that covers discovery through transaction, and it has observed a higher average order among AI-assisted bookings. The application's independent contribution to Rakuten Travel transaction volume and revenue remains unquantified. Establishing a fuller financial link would require the company to disclose AI-assisted booking volume and the related gross transaction volume, compared with non-AI bookings over the same period and on the same basis.

Application assessment

• Rakuten AI for Travel | Business position: Core business | Application stage: Limited production | Deployment scope: Single business unit | Value type: Revenue growth

Sources

[1] Drillr · Rakuten Group, Inc. (RKUNY) · 2026-08-10 · Earnings call

Quote: Now the average order is 13% higher for AI-assisted booking versus those not going through AI.

[2] Drillr · Rakuten Group, Inc. (RKUNY) · 2026-05-14 · Earnings call

Quote: So just like if you are talking to the travel agency to decide where you want to go and book your hotel, that is possible with this AI.