📊 Key Data
  • 70% of COGS: Direct materials account for 50% to 70% of the cost of goods sold (COGS) for complex manufacturers.
  • <2% Adoption: Fewer than 2% of manufacturers use purpose-built intelligence solutions for direct materials pricing.
  • 6% vs. 1.3%: Ivoflow’s AI identified a supplier’s 6% price increase request as only 1.3% justified, highlighting cost-saving potential.
🎯 Expert Consensus

Experts would likely conclude that Jaggaer’s acquisition of Ivoflow represents a strategic leap in AI-driven procurement intelligence, offering manufacturers unprecedented control over direct material costs through automated, data-backed price validation.

about 10 hours ago
Jaggaer's AI Play: How Its Ivoflow Acquisition Will Tame Manufacturing Costs

Jaggaer's AI Play: How Its Ivoflow Acquisition Will Tame Manufacturing Costs

DURHAM, NC – September 14, 2026 – In a move that signals a significant strategic deepening of AI’s role in the supply chain, procurement software giant Jaggaer has completed its acquisition of Ivoflow, a German-based platform specializing in price intelligence for direct materials. The deal, which closed on September 11, brings a highly sought-after capability into the fold of one of the industry's largest players, promising to arm manufacturers with the data-driven tools needed to navigate volatile markets and protect razor-thin margins.

For decades, Jaggaer has provided the digital plumbing for large organizations, managing the end-to-end process of how they find suppliers, negotiate contracts, and pay invoices. With the addition of Ivoflow, the company is moving beyond managing the process of procurement to mastering the intelligence behind it. This acquisition isn't just about consolidation; it's a direct assault on one of the most persistent and costly challenges in modern manufacturing: knowing if the price you're paying is the price you should be paying.

The Multi-Billion Dollar Blind Spot

For any complex manufacturer, from automotive giants to aerospace firms, direct materials—the raw components, parts, and sub-assemblies that become the final product—are the single biggest line item. This category routinely accounts for 50% to 70% of the cost of goods sold (COGS). Yet, according to industry analysis, fewer than 2% of these companies operate with a purpose-built intelligence solution to manage this spend. The status quo is a patchwork of spreadsheets, manual comparisons, and gut-feel negotiations, a system woefully unequipped for the realities of fluctuating commodity prices, currency swings, and global supply chain disruptions.

This gap costs manufacturers real money. Without a reliable, data-backed way to validate supplier pricing against real-time market conditions, procurement teams are often flying blind. Ivoflow, founded in 2020 by procurement industry veterans Daniel Demuth and Nicolas Neubauer, was built specifically to close this gap. The platform acts as a powerful analytical engine, connecting a manufacturer’s disparate purchasing data from ERP and other systems with a live feed of external market inputs. It ingests commodity indices, currency exchange rates, and other cost drivers to recalculate, at the individual part level, what each component should cost as market conditions shift.

The result is a powerful shift from reactive to proactive cost management. Instead of just answering questions about historical spend, the technology provides forward-looking intelligence. Procurement teams can see precisely where prices are drifting out of sync with the market, identify the largest savings opportunities, and enter negotiations armed with irrefutable evidence to support their position.

A Strategic Union of Process and Intelligence

Jaggaer and Ivoflow solve two halves of the same problem. Jaggaer’s platform is where the buying happens; Ivoflow provides the intelligence to ensure the buying happens at the right price. The strategic vision behind the acquisition is to seamlessly embed this intelligence directly into the procurement workflow. A buyer preparing to issue a purchase order or negotiate a contract will no longer need to switch to a separate tool for analysis. The price intelligence—the should-cost model, the market justification, the savings potential—will be presented directly within the Jaggaer environment they already use.

“Ivoflow will enable buyers to manage more of their direct materials within a single platform, bringing powerful market and cost intelligence into supplier negotiations,” said Andrew Roszko, CEO of Jaggaer, in a statement. “This means more transparent, fact-based conversations with suppliers, stronger partnerships, and better commercial outcomes.”

This move also positions Jaggaer to differentiate itself in a competitive landscape. While other major source-to-pay (S2P) providers like Ivalua, SAP Ariba, and Coupa offer modules for direct materials, the depth of Ivoflow's AI-powered price intelligence offers a specialized advantage. The acquisition is a clear bet that in the complex world of manufacturing, a generalist approach is no longer sufficient. By targeting the largest area of spend with a dedicated, AI-native solution, Jaggaer is aiming to become the indispensable platform for manufacturers focused on cost excellence and supply chain resilience.

AI as the Ultimate Negotiation Partner

The true power of the combined platform lies in its application of artificial intelligence. Manufacturers are constantly inundated with price increase requests from suppliers citing rising costs for steel, plastic, or labor. Manually verifying the legitimacy of each request is a monumental task, so many are approved with only a cursory check, allowing unjustified increases to quietly erode profits.

Ivoflow’s AI automates this validation process. As detailed in the announcement, the software can ingest a supplier's request, automatically break down the purported cost drivers, and compare them against real-world market data. In one example, a supplier’s requested 6% price increase was found to be only 1.3% justified when checked against actual movements in underlying costs. This capability transforms a time-consuming manual task into an automated, fact-based check, saving a buyer not only money but also the time needed to focus on more strategic activities. The AI also works proactively, constantly scanning a company’s entire spend portfolio to flag categories where prices have already drifted out of line with the market, identifying savings opportunities before a negotiation even begins.

This aligns with a broader industry shift toward what analysts call "agentic AI"—intelligent systems that not only provide insights but also recommend or even execute actions. The goal is to create a procurement function that is more predictive, autonomous, and strategic.

Investing in an Intelligent Future

Jaggaer has signaled its commitment to this vision with plans to invest significantly in the Ivoflow team and product roadmap. The focus will be on expanding its AI-driven capabilities to include sophisticated scenario modeling, savings-probability generation, and proactive procurement guidance that suggests specific actions for buyers to take.

For Ivoflow’s co-founders, who met while working at automotive supplier ZF Friedrichshafen and built a platform that has already been recognized by ProcureTech 100 and SpendMatters, joining Jaggaer provides the scale to realize their vision. “Joining Jaggaer gives us the reach and platform to bring that capability to many more customers and accelerate what we set out to build,” commented Nicolas Neubauer, Co-Founder of Ivoflow. His partner, Daniel Demuth, added, “By combining Ivoflow’s capabilities with Jaggaer’s team, reach and platform, we can accelerate our roadmap, expand our AI capabilities, and build toward becoming the leading provider of spend and price intelligence for manufacturers globally.”

For an industry grappling with unprecedented volatility, the integration of deep, AI-powered price intelligence into the core procurement workflow represents a critical evolution, promising a future where manufacturers can finally gain control over their most significant costs.

Topics & Related

Event:
Acquisition
Theme:
Artificial Intelligence
Agentic AI
Sector:
Software & SaaS
AI & Machine Learning

📝 This article is still being updated

Are you a relevant expert who could contribute your opinion or insights to this article? We'd love to hear from you. We will give you full credit for your contribution.

Contribute Your Expertise →
UAID: 49957