IFS, a provider of Industrial AI software, has disclosed that it has entered into a definitive agreement to acquire Softeon, a provider of cloud-native Warehouse Management Systems (WMS). This strategic move extends IFS’ Industrial AI capabilities into the US$8.6 billion warehouse management systems market, creating an integrated platform that connects manufacturing operations seamlessly with intelligent warehouse execution.
The acquisition represents a natural evolution of IFS’s manufacturing sector capabilities, strengthening its position in a market where modernising supply chains, renewing ageing infrastructure, and managing labour shortages are critical priorities. By combining Softeon’s advanced WMS and WES solutions with IFS’s Industrial AI, the companies are poised to challenge the traditional WMS sector, embedding intelligent AI orchestration across all aspects of warehouse operations—from fulfilment and labour optimisation to real-time yard visibility and automation integration. For customers in aerospace and defence, energy, engineering and construction, manufacturing, and transport, the acquisition delivers immediate value, enabling end-to-end supply chain orchestration that unites production, warehouse execution, and field service operations as a single intelligent system.
“The warehouse is the next frontier for Industrial AI. As we work with increasingly complex global manufacturers and asset-intensive enterprises, warehouse operations must become as intelligent and autonomous as the production lines they support. Softeon brings proven warehouse expertise to IFS, and we deliver next-generation AI, robotics orchestration, and deep industrial domain knowledge. Together, we’re redefining what’s possible when you apply Industrial AI where it matters most: on the warehouse floor, in real-time, with measurable impact on throughput, accuracy, and workforce capacity.” commented Mark Moffat, CEO of IFS.
The transaction is subject to regulatory approval and is expected to complete in the first quarter of 2026.
