IFS, a provider of Industrial AI software, has announced the launch of IFS.ai Logistics, an AI-powered logistics intelligence platform purpose-built for enterprises operating complex, multi-carrier, multi-region transport networks. The new solution extends Industrial AI into the physical movement of materials and goods—the operational heartbeat of industrial enterprises worldwide. IFS already manages $2.4 trillion 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 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 optimization. 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 adoption friction for enterprises managing complex multi-system environments.
Overcoming costly logistics blind spots
Enterprises today spend five to ten percent of revenue on transportation, yet logistics remains one of the hardest costs to govern. Data is fragmented across carriers, regions, legacy systems, and spreadsheets. The result: logistics teams in reactive mode, unable to act on data they cannot see, trust, or compare. For large manufacturers and logistics providers, a one-percent inefficiency in freight spend can represent tens or hundreds of millions of dollars in avoidable annual cost. Against a global logistics market valued above $9 trillion today and projected to approach $20 trillion within the decade, the industry needs structural transformation, not incremental automation.
IFS.ai Logistics addresses this directly across four capability areas:
- AI-driven transport planning and carrier selection replace manual decision-making with intelligence-led optimization 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 modeling, from carrier strategy and cost forecasting to emissions planning and procurement consolidation.
Underpinning all four capabilities is a logistics-native data model that standardizes and harmonizes fragmented transport data into a single trusted intelligence layer with one source of truth for reporting, forecasting, and continuous network improvement.
Philip Ashton, President, IFS.ai Logistics, commented: “Logistics is one of the largest, most frequently disrupted and least-governed cost categories in global industry, and the consequences show up directly in EBITDA. 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—they begin to protect margins, 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.”
The launch of IFS.ai Logistics builds on IFS’s continued expansion across the physical supply chain. Alongside solutions such as the recently acquired IFS Softeon for warehouse management and fulfillment, IFS.ai Logistics introduces an intelligence layer that connects transport planning, automated execution, freight audit, and network optimization. Together, these capabilities help organizations create a more connected flow of materials and goods from warehouse operations through to final delivery, enabling more informed decisions across inventory, fulfillment, carrier selection, transport execution, and freight cost management.
