Swedish industrial software company IFS has launched an AI-powered logistics platform for enterprises operating complex, multi-carrier, multi-region transport networks.

Called IFS.ai Logistics, it extends industrial AI into the physical movement of materials and goods. IFS already manages $2.4tn in critical assets for its customers; IFS.ai Logistics adds the logistics intelligence layer that connects operational decisions to financial outcomes across the full supply chain.

Building beyond 7Bridges (www.the7bridges.com) technology, which was acquired in 2025, IFS.ai Logistics delivers a single closed operational loop spanning transport planning, automated execution, freight audit, cost governance and continuous network optimisation. It operates within IFS Cloud, alongside enterprise asset management, field service management, enterprise resource planning and supply chain management, and is composable with third-party platforms, reducing friction for enterprises managing complex multi-system environments.

Enterprises spend five to ten per cent of revenue on transportation, yet logistics remains one of the hardest costs to govern. Data are fragmented across carriers, regions, legacy systems and spreadsheets. This results in logistics teams unable to act on data they cannot see, trust or compare. For large manufacturers and logistics providers, a one per cent inefficiency in freight spend can represent tens or hundreds of millions of dollars in avoidable annual cost.

IFS.ai Logistics addresses this directly across four capability areas:

• AI-driven transport planning and carrier selection replace manual decision-making with intelligence-led optimisation across modes, legs and trade lanes.
• Zero-touch automated execution eliminates booking errors and operational overhead with real-time shipment visibility and intelligent exception handling.
• A finance-grade freight audit engine validates every invoice at line-item level, applying automated GL coding, surfacing billing discrepancies and managing dispute workflows to recover leakage.
• A network intelligence and simulation layer enables continuous what-if scenario modelling, from carrier strategy and cost forecasting to emissions planning and procurement consolidation.

Underpinning all four is a logistics-native data model that standardises and harmonises fragmented transport data into a single trusted intelligence layer with one source of truth for reporting, forecasting and continuous network improvement.

“Over the last five years we have seen that when AI is applied at scale, directly inside specific industry applications, like enterprise logistics operations, customers can capture value within weeks,” said Philip Ashton from IFS. “They begin to protect margin, improve service reliability and increase operational agility. With IFS.ai Logistics, this is exactly what we are delivering: an AI-driven platform that closes the loop between every operational logistics decision and its financial consequence. This is industrial AI applied where it matters most.”

IFS.ai Logistics introduces an intelligence layer that connects transport planning, automated execution, freight audit and network optimisation. Together, these capabilities help organisations create a more connected flow of materials and goods from warehouse operations through to final delivery, enabling more informed decisions across inventory, fulfilment, carrier selection, transport execution and freight cost management.

IFS.ai Logistics (www.ifs.com/en/products/ai/ifs-ai-logistics-control-transport-cost-and-performance) is available now.

IFS (www.ifs.com) was founded in 1983 by five university friends who pitched a tent outside its first customer’s site to ensure they would be available round the clock. Since then, IFS has grown to more than 7000 employees in 80 countries.