IFS Unveils AI to Tame the $20 Trillion Global Logistics Labyrinth

MUNICH, GERMANY – March 10, 2026 – Industrial AI software provider IFS today launched IFS.ai Logistics, a new intelligence platform aimed at transforming one of the most complex and costly functions in modern business: global transportation. The announcement, made at the company's Connect 2026 event, introduces a solution designed to bring order to the chaos of multi-carrier, multi-region shipping networks, promising to turn logistics from a hard-to-govern cost center into a strategic asset.

This move extends the company's specialized Industrial AI deep into the physical movement of goods, the operational heartbeat for industries worldwide. For enterprises already grappling with a global logistics market valued at over $9 trillion and projected to approach $20 trillion within a decade, the launch signals a significant shift from incremental fixes to structural transformation.

Overcoming Costly Blind Spots

For most large industrial enterprises, transportation represents a massive and often opaque expense, consuming between five and ten percent of total revenue. The core challenge lies in fragmentation. Critical data is siloed across disparate carrier portals, aging legacy systems, and countless spreadsheets, leaving logistics teams in a constant state of reaction. This lack of a unified, trustworthy data source makes it nearly impossible to optimize operations, audit costs effectively, or make strategic decisions.

In this environment, even minor inefficiencies can have staggering financial consequences. For a large manufacturer or logistics provider, a one-percent inefficiency in freight spend can easily translate into tens or even hundreds of millions of dollars in avoidable annual costs. IFS aims to address this directly by providing a single, closed operational loop that connects planning, execution, auditing, and optimization.

The new platform is built upon the technology and expertise gained from IFS’s 2025 acquisition of 7bridges, a company that had already proven its ability to generate significant savings for customers. Prior to its acquisition, 7bridges' AI-powered engine demonstrated average transport cost reductions of 8% while automating up to 90% of manual data entry tasks, validating the power of applying focused AI to complex logistics challenges.

An AI-Powered Closed Loop for Logistics

IFS.ai Logistics is designed to function as a central intelligence layer, replacing manual guesswork with data-driven optimization. Its capabilities are structured around four interconnected pillars:

• AI-Driven Planning: The system analyzes all possible modes, routes, and carriers to recommend the most optimal transport plan, balancing cost, speed, and service levels.
• Zero-Touch Execution: It automates the booking process, provides real-time shipment visibility, and intelligently manages exceptions, dramatically reducing the operational overhead and errors associated with manual coordination.
• Finance-Grade Freight Audit: A sophisticated audit engine scrutinizes every carrier invoice at the line-item level. It automatically applies GL codes, flags billing discrepancies, and manages dispute workflows to prevent cost leakage and recover funds.
• Continuous Network Optimization: A powerful simulation layer allows businesses to model what-if scenarios, enabling them to test new carrier strategies, forecast costs, plan for emissions reductions, and consolidate procurement for better rates.

Underpinning these functions is a logistics-native data model that harmonizes transport data into a single source of truth. “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,” commented Philip Ashton, President of IFS.ai Logistics. “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.”

A Unified Strategy for the Physical Supply Chain

The launch of IFS.ai Logistics is a key component of a broader corporate strategy to provide an end-to-end, AI-powered view of the physical supply chain. The platform is designed to operate seamlessly within the IFS Cloud ecosystem, which already includes solutions for Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), and Field Service Management (FSM).

Crucially, it complements other strategic acquisitions, such as IFS Softeon for advanced warehouse management and fulfillment. By integrating these components, IFS is creating a connected flow of data and intelligence that spans from materials on a warehouse shelf to their final delivery. This integrated approach enables more informed decision-making across inventory management, order fulfillment, carrier selection, and freight cost governance, breaking down the silos that have traditionally plagued supply chain operations.

Reshaping a Competitive Landscape

While the market for supply chain software is crowded, the vendor landscape has been dominated by legacy planning and execution tools that were not originally designed for the complexities of agentic, AI-native intelligence. Research from The Futurum Group highlights this gap, noting that while nearly half of enterprise decision-makers plan to deploy agentic AI in their supply chains, existing tools often fall short.

“IFS.ai Logistics addresses a genuine market gap - bringing closed-loop AI across transport planning, execution, audit, and optimization into a single platform,” noted Keith Kirkpatrick, VP & Research Director at The Futurum Group. He emphasized that for industrial companies where freight costs are a significant portion of revenue, this new capability is a game-changer.

By focusing on 'Industrial AI'—a specialized application tailored for asset-intensive sectors like manufacturing, energy, and aerospace—IFS differentiates itself from general-purpose AI solutions. The platform’s ability to be composed with third-party systems also reduces adoption friction for large enterprises managing complex, multi-vendor IT environments. For these companies, the ability to finally connect every logistics decision to its direct financial consequence is not just an improvement—it is, as Kirkpatrick stated, “transformational.”