Jaggaer has completed its acquisition of Ivoflow, a spend and price intelligence platform for direct materials based in Koblenz, Germany. Jaggaer provides AI-powered procurement solutions. The transaction closed on September 11, 2026.

The deal advances Jaggaer’s strategy to build a more intelligent procurement platform. For customers, the combination targets one of procurement’s most persistent challenges. Organizations have more data than ever before. However, converting that data into measurable savings and margin improvement remains difficult.

The addition of Ivoflow enables Jaggaer to provide true spend decision intelligence. Rather than simply answering questions about historical spend, the combined capabilities help procurement teams make better decisions. They can now ask:

• Where are we paying more than underlying market conditions justify?
• Which parts, categories or suppliers represent the largest addressable savings opportunity?
• What external cost movements should change our negotiating position?
• Where are price differences emerging across plants, geographies or suppliers?
• Which opportunities should our procurement teams act on first?
• What evidence and commercial rationale should buyers use in the next supplier negotiation?

To understand the deal, it helps to look at each company. Jaggaer’s software helps large organizations manage the entire procurement process. This covers selecting suppliers, negotiating contracts and paying invoices. Its customers include manufacturers, universities, hospitals and government agencies.

Ivoflow was founded in 2020. It focuses on a narrower but critical problem for manufacturers: knowing whether the price paid for a part is in line with the market. Its price intelligence software pulls together purchasing records that are often scattered across different systems. It then lines them up against outside market data, such as raw material costs and currency movements.

The gap it addresses is costly. Direct materials are the raw materials, parts and components that go directly into what a manufacturer builds. They typically represent 50% to 70% of cost of goods sold for complex manufacturers. Even so, fewer than 2% of manufacturers operate with a purpose-built spend and price intelligence capability for this category. Most still compare supplier prices by hand in spreadsheets. As a result, they have no reliable way to know whether their prices are fair as markets move.

Ivoflow’s platform connects a manufacturer’s ERP and procurement data with live market inputs. These include commodity indices, currency movements and cost data. It then recalculates, at the individual part level, what each part should cost as conditions change. This insight enables buyers to negotiate better contracts. Customers such as Georg Fischer, Sumitomo, Grammer, TI Automotive and ZF Lifetec use the platform for full spend visibility, faster negotiations and more defensible pricing decisions.

Jaggaer and Ivoflow solve two halves of the same problem. Jaggaer helps organizations run the buying process end to end. Ivoflow helps them know whether the price on the table is fair. Together, the pricing check happens where the buying already happens. Instead of jumping into a separate tool, a buyer can see whether a price is fair inside the system already used to manage the purchase.

In addition, better data leads to better answers. Ivoflow’s intelligence is only as strong as the data behind it. Combining it with the purchasing and supplier data Jaggaer holds across its customer base gives it a larger, more current set of real-world prices to check against.

AI plays a central role here. Manufacturers routinely receive supplier requests to raise prices, citing higher costs for steel, plastic or other raw materials. Checking whether each request is justified takes a lot of manual work. Consequently, many get approved without a real check, and unjustified increases quietly eat into profit.

Ivoflow’s software uses AI to automate that check. It reads a supplier’s price-increase request and breaks down what is driving the cost, such as raw materials, currency and labor. It compares this against real market data. Then it tells the buyer how much of the requested increase is justified and how much is not. In one example, a supplier requested a 6% price increase. Only 1.3% held up once checked against actual cost drivers. The same approach also scans a company’s full spend on its own. It flags categories where prices have already drifted out of step with the market before a supplier even asks for an increase.

Looking ahead, Jaggaer intends to invest in the Ivoflow team, product and roadmap. Plans include expanding AI-driven capabilities such as scenario modelling, savings-probability generation and proactive procurement guidance. Ivoflow’s co-founders, Daniel Demuth and Nicolas Neubauer, will continue to lead the Ivoflow team, which joined Jaggaer as part of the transaction.

“Ivoflow will enable buyers to manage more of their direct materials within a single platform, bringing powerful market and cost intelligence into supplier negotiations. This means more transparent, fact-based conversations with suppliers, stronger partnerships, and better commercial outcomes. We see real opportunity to invest in the team, expand the platform, and accelerate what we can deliver together,” said Andrew Roszko, Chief Executive Officer of Jaggaer.

Neubauer also commented on the move. “We built Ivoflow to help manufacturing companies become leaders in cost excellence and drive profitability. Joining Jaggaer gives us the reach and platform to bring that capability to many more customers and accelerate what we set out to build. We are very much looking forward to what lies ahead and to becoming part of the Jaggaer team,” said Neubauer, Co-Founder of Ivoflow.

Finally, Demuth said the deal gives the team a chance to help shape how manufacturing enterprises manage spend and identify savings. “By combining Ivoflow’s capabilities with Jaggaer’s team, reach and platform, we can accelerate our roadmap, expand our AI capabilities,” he said. The stated goal is to grow price intelligence for manufacturers globally.

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