Four AI plays to lift uptime

Blue Yonder says manufacturers can raise equipment uptime by about 25% if they use artificial intelligence to spot, sort and schedule around downtime faster. (blueyonder.com) The company laid out four plays in a February 19, 2026 post: classify downtime more accurately, detect predictive signals earlier, improve maintenance response, and schedule work to cut machine waiting time. Blue Yonder framed the problem as “waiting,” one of the classic lean wastes that turns small stoppages into lost output. (blueyonder.com) In plain terms, downtime classification means tagging each stop with a real cause instead of dumping it into catchall buckets like “machine fault.” Predictive signals are the warning signs that show up before a failure, such as abnormal patterns in machine or process data. (icck.org) (oxmaint.com) That matters because plants often know they lost hours, but not exactly why, on which asset, or on which shift. Blue Yonder’s argument is that better labels and earlier alerts let teams move from reactive repair to planned intervention before a line stops. (blueyonder.com) (prosense.com.au) The post sits inside a broader push by Blue Yonder to sell “cognitive” operations software that uses predictive artificial intelligence, machine learning and automated decision tools across factories, warehouses and transport networks. On its homepage, the company says its platform delivers billions of artificial intelligence and machine learning predictions per day and has more than 20 years of artificial intelligence work behind it. (blueyonder.com 1) (blueyonder.com 2) Blue Yonder has been extending that pitch in 2025 and 2026 with new artificial intelligence agents and cloud-based planning tools. At its May 2025 product release, the company said it was expanding artificial intelligence across “Cognitive Solutions,” and in March 2026 outside coverage described new agents reaching manufacturing planning, transportation management and warehouse management. (businesswire.com) (diginomica.com) The lean idea behind the post is older than the software. In the Toyota Production System, “waiting” is one of the core wastes, alongside excess transport, inventory, motion, overproduction, overprocessing and defects; later practitioners added underused skills to form the acronym TIMWOODS. (theleanway.net) (blueyonder.com) Blue Yonder’s version updates that lean playbook for sensor-rich operations. Instead of relying on end-of-shift logs and manual triage, the software pitch is continuous data capture, earlier anomaly detection and schedules that can be reworked before a bottleneck spreads. (oxmaint.com) (blueyonder.com) The catch is that vendor claims like “25% more uptime” depend on data quality, existing maintenance discipline and whether a plant can connect machine, planning and work-order systems cleanly. Blue Yonder’s post presents the number as an achievable outcome, not a regulator-verified benchmark. (blueyonder.com 1) (blueyonder.com 2) The thread running through all four plays is simple: fewer mystery stoppages, earlier warnings and tighter schedules mean less time waiting for the next fix. That is the part of uptime Blue Yonder is trying to sell. (blueyonder.com)