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Airline intelligence / Royal Air Maroc

Royal Air Maroc trials AI pricing and a multilingual app assistant

Royal Air Maroc's documented AI work sits in revenue management and customer service. A generative pricing engine entered a pilot in 2024 and an app assistant launched in beta in 2025. Neither has a published result, and recent claims of wider operational use name no system.

The operating picture

A startup competition as the way in

294ca - Royal Air Maroc Airbus A321, CN-RNY@ZRH,15.05.2004 - Flickr - Aero Icarus
294ca - Royal Air Maroc Airbus A321, CN-RNY@ZRH,15.05.2004 - Flickr - Aero Icarus. Photograph: Aero Icarus from Zürich, Switzerland / CC BY-SA 2.0 (cropped to fit). Illustrates the airline, not an AI deployment.

Royal Air Maroc has brought AI suppliers in through its Digital Open Innovation programme, a competition in which startups pitch to the airline's executives for the chance of a commercial contract. Fetcherr, an Israeli pricing company, won the revenue management category of the second edition in 2023. By February 2024 its chief executive said the airline was piloting the product.

The second documented application faces passengers directly. In April 2025 the carrier added Atlas, a generative AI assistant, to its mobile app in beta. Trade and Moroccan business press reported in April 2026 that the airline had moved from isolated pilots to structured use across operations, customer service and cybersecurity, but those reports name no system or supplier. That claim stays in the wider register until a system is named.

Selected implementations

The work behind the evidence

01 / Pilot

Handing fare changes to a generative pricing engine

The operational problem

Revenue analysts adjust fares and seat availability market by market as demand shifts. A system that proposes those changes at high frequency could act faster than a manual process, provided it stays within the airline's commercial rules.

What the evidence reports

Fetcherr announced in September 2023 that it would implement its Generative Pricing Engine at Royal Air Maroc after placing first in the revenue management category, from a field the supplier put at about 300 applicants. PhocusWire reported in October 2023 that the airline was implementing the system. In February 2024 Fetcherr's chief executive, Roy Cohen, told Pulse 2.0 that the airline was piloting it.

Operational significance

A pricing model's effect can be measured directly, by comparing revenue in markets priced by the model with markets priced conventionally.

Evidence still needed

Every status statement comes from Fetcherr or reporting of its announcement. The sources name no airline spokesperson, markets or revenue effect, and no source after February 2024 confirms whether the pilot moved into regular use.

Sources and verification (3)

PhocusWire · Evidence grade B

Fetcherr via Accesswire (vendor) · Evidence grade B

Pulse 2.0 (interview) · Evidence grade C

A source can verify an announcement without verifying its projected outcome.

02 / Pilot

An app assistant that answers in Darija and Wolof

The operational problem

Passengers ask about flight status, complaints and extras at all hours, in whichever language they are most comfortable using. For many Moroccan travellers the everyday language is Darija, the country's spoken Arabic.

What the evidence reports

Le Matin and Lesinfos reported on 11 and 12 April 2025 that Atlas, developed by the airline, uses generative AI drawing on ChatGPT to understand questions in Arabic, French, Darija and Wolof. It reports live flight status, shows the progress of complaints, explains products such as upgrades and the Flight Pass, and offers personalised suggestions. Both reports described it as a beta, with the rest of the journey from planning to after the flight still to be added.

Operational significance

In Aerostack's reading, the language choice is the distinctive feature. Wolof, widely spoken in Senegal, suggests the assistant was shaped around the airline's West African passengers.

Evidence still needed

Neither report quotes a named airline official or gives figures on how many questions Atlas resolves. Aerostack has found no announcement since April 2025 saying Atlas has left beta or covers the full journey.

Sources and verification (2)

LeNew (Morocco) · Evidence grade B

Le Matin (Morocco) · Evidence grade B

A source can verify an announcement without verifying its projected outcome.

The wider register

Other tracked activity

Other records are shown separately, including non-AI technology and programmes at different stages of deployment. A register entry does not establish a measured AI benefit.

AI across operations, customer experience and cybersecurity at Royal Air Maroc · Reported · unverified

Royal Air Maroc has moved from isolated AI pilots to cross-functional use across operations, customer experience and cybersecurity, ePlaneAI reported on 7 April 2026.

Sources and verification (3)

The North Africa Post · Evidence grade B

ePlaneAI · Evidence grade B

La Vie éco (Morocco) · Evidence grade B

A source can verify an announcement without verifying its projected outcome.

Editorial assessment

Royal Air Maroc's documented AI activity is commercial and aimed at passengers. The operations case rests on general statements about flight planning and resource management, without a named tool or measure.

Two updates would change this profile: confirmation that Fetcherr's engine prices live markets, with any reported revenue effect, and evidence that Atlas has moved beyond beta. The same April 2026 reporting says the innovation programme will now concentrate on operational problems. If it does, the first named operational project would be the clearest test of the airline's wider claims.

Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.