Yango AI routing cuts millions of travel hours

Yango Group says its artificial intelligence-driven routing system saved users more than five million hours in 2025, with riders in Dubai and Abu Dhabi alone reclaiming over 34,000 hours through dynamic route optimisation.

The mobility and technology company, which operates ride-hailing and delivery services across the Middle East, Africa, Europe and Latin America, reported that its AI models analysed billions of data points during the year to reduce congestion-related delays and improve driver allocation. The company positions the milestone as evidence that algorithmic dispatch and predictive traffic modelling are reshaping urban transport efficiency in fast-growing cities.

According to company figures, the largest gains were recorded in metropolitan areas where traffic density fluctuates sharply throughout the day. In the United Arab Emirates, where Dubai and Abu Dhabi have invested heavily in smart city infrastructure, Yango’s platform uses machine learning to anticipate traffic bottlenecks, adjust driver positioning in real time and suggest alternative routes based on live and historical traffic flows.

Executives say the system combines geospatial analytics, demand forecasting and driver behaviour data to match supply with rider demand more accurately. “Our routing engine continuously learns from patterns in congestion, weather and event schedules,” a senior Yango technology executive said in a statement outlining the performance data. “By predicting demand surges and traffic build-ups before they fully materialise, we can cut waiting and journey times for both riders and drivers.”

Urban mobility analysts note that time savings of this scale translate into measurable economic benefits. Studies on traffic congestion in Gulf cities have shown that lost productivity from delays can run into billions of dollars annually. Dubai’s Roads and Transport Authority has long identified congestion reduction as a strategic priority, integrating AI and big data into traffic management systems as part of broader digital transformation efforts.

Yango’s announcement comes amid intensifying competition among ride-hailing platforms to differentiate themselves through technology rather than pricing alone. Global players such as Uber and regional operators including Careem have also invested heavily in predictive algorithms and mapping enhancements. Uber has previously disclosed that its machine learning systems optimise routes and match riders with drivers to reduce detours and idle time, while Careem has focused on regional mapping data tailored to Middle Eastern road networks.

Industry experts caution that company-reported metrics should be interpreted carefully, as methodologies for calculating time savings can vary. Some platforms measure total cumulative minutes reduced per trip compared with baseline averages, while others assess improvements against real-time traffic conditions. Yango has not publicly detailed the full methodology behind its five million-hour estimate, though it states that calculations are based on aggregated trip data and modelled comparisons with standard routing.

The 34,000 hours reportedly saved in Dubai and Abu Dhabi highlight the scale of micro-efficiencies achieved at city level. Dubai, with a population exceeding 3.5 million and a high proportion of daily commuters, experiences peak-hour congestion along major corridors such as Sheikh Zayed Road and Al Khail Road. Abu Dhabi, though less dense, has seen rising vehicle usage linked to urban expansion and economic growth.

Transport economists argue that AI-driven routing can ease pressure on infrastructure without requiring immediate large-scale capital investment. By distributing vehicles more evenly across road networks and discouraging inefficient detours, algorithms can reduce fuel consumption and emissions alongside travel time. Environmental modelling studies have suggested that even modest reductions in idling and stop-start driving can cut carbon output across large fleets.

Yango Group, which traces its origins to technology operations associated with Russia’s Yandex ecosystem before expanding internationally under separate branding, has been broadening its presence in the Gulf region over the past several years. The company operates in multiple countries across the Middle East and North Africa, positioning itself as a technology platform rather than solely a transport provider. Its portfolio includes ride-hailing, delivery and fintech services, with AI embedded across dispatch, pricing and fraud detection systems.

Regulatory scrutiny of ride-hailing algorithms has grown in parallel with technological advances. Authorities in several jurisdictions have examined how dynamic pricing and routing affect driver earnings and passenger costs. Consumer advocates have called for greater transparency in algorithmic decision-making, particularly where automated systems influence fares or availability during high-demand periods.

Yango maintains that its routing technology focuses on efficiency and safety, stating that reduced journey times can lower driver fatigue and improve overall service reliability. Data protection remains another focal point, as large-scale mobility platforms handle sensitive location and behavioural information. The company says its AI systems operate within local regulatory frameworks and data governance standards.