Saudi Logistics Services (SAL) is developing an AI-powered smart operations platform to prioritize air cargo tasks and allocate personnel and equipment in real time.
Smart operations platform and SAL’s role as a digital bridge in air cargo
Digital transformation figures, the cargo gateway platform, and previous partnerships
Smart station program and the distinction between automated recommendation and human decision
Human accountability and next steps for measuring operational impact
Frequently asked questions
Smart operations platform and SAL’s role as a digital bridge in air cargo
Saudi Logistics Services (“SAL”) has outlined its ongoing efforts to digitize air cargo handling operations and utilize artificial intelligence technologies in operational planning and resource allocation. In a recent press interview conducted by journalist Donia Diab El-Din and published by Arab News on October 24, 2026, the company’s Chief Digital Officer, Simon Hassanieh, explained the features of the “Smart Operations Platform,” designed to help prioritize work and distribute staff and equipment according to real-time requirements. This publication provides a new executive overview of the project strategy, rather than proof of a fully deployed and independently tested operational rollout on October 24.
Hassanieh positioned SAL as a digital junction point connecting airlines, customs authorities, trucking companies, and cargo clients. Since a single shipment may pass through multiple organizations, timing and data exchange are vital even when each organization’s internal operations are efficient. Through this approach, the company aims to reduce manual coordination and improve the predictability of shipment arrival, preparation, and pickup times.
Digital transformation figures, the cargo gateway platform, and previous partnerships
Some of the figures discussed in the interview pertain to systems that were already in place before this new dialogue was published. SAL states that its broader digitization program has saved employees more than 300,000 working hours annually that were previously consumed by repetitive tasks. This figure represents an estimate issued by the company related to its overall digital transformation and should not be presented as an audited accounting of hours saved specifically by artificial intelligence models, given the lack of independent auditing or a shared standard baseline.
The company’s “Cargo Gateway” platform was launched during the LEAP 2026 conference in partnership with Elm, well before the October 24 date. According to SAL’s data, the platform has processed more than 200,000 electronic bookings, achieved a 92 percent customer adoption rate, and registered over 12,000 drivers and trucks combined—metrics that are cumulative usage figures announced by the company rather than new launches.
Smart station program and the distinction between automated recommendation and human decision
SAL’s “Smart Station” program digitizes the cargo journey from aircraft arrival to customer pickup, while the newly described “Smart Operations Platform” represents a separate planning layer aimed at answering questions regarding which tasks should come first, what personnel are required, and where ground equipment should be deployed. Although this planning constitutes a documented AI use case, the executive did not provide independently evaluated performance benchmarks proving its efficiency.
The interview also pointed to previous memoranda of understanding signed with Microsoft Arabia and Huawei Tech Investment Saudi Arabia regarding artificial intelligence, cloud computing, 5G, and digital logistics. These are past agreements representing general context rather than new signings on October 24, as an MoU to explore a specific application differs from a completed procurement contract or operational implementation.
Human accountability and next steps for measuring operational impact
Operational AI systems gain significant value in cargo environments when they integrate reliable location, scheduling, and capacity information. However, automated recommendation of a specific priority differs radically from automated authorization of a change with financial or safety consequences. Hassanieh clearly emphasized that the human element retains full responsibility for decision-making.
The most useful future evidence will be the announcement of a specific launch date, operational performance benchmarks, clear metrics for reducing waiting times, and data showing whether AI recommendations are consistently accepted or overridden. This report establishes the presence of widespread digital adoption and growing AI ambitions, while the direct financial and productivity outcomes attributed to AI remain subject to future verification.
Frequently asked questions
Question: What is the function of the smart operations platform being developed by Saudi SAL?
Answer: The platform aims to use artificial intelligence to prioritize air cargo tasks and distribute personnel and ground equipment according to real-time requirements.
Question: What are the most prominent cumulative results achieved by SAL’s cargo gateway platform?
Answer: The company reported that the platform, launched at LEAP 2026 in cooperation with Elm, has processed more than 200,000 bookings, achieved a 92 percent adoption rate, and registered over 12,000 drivers and trucks.
Question: Does saving 300,000 working hours annually point to the impact of artificial intelligence alone?
Answer: No, this figure represents the company’s estimate for its comprehensive digital transformation program, rather than an independently audited measurement of hours saved solely by artificial intelligence algorithms.
Question: Who bears final responsibility for operational decisions in SAL’s systems?
Answer: Chief Digital Officer Simon Hassanieh confirmed that the systems provide planning recommendations, while human employees retain full responsibility for making final decisions.
