Yooz passes 7,000 customers on record H1 2026 usage

Yooz has passed 7,000 customers worldwide, alongside record platform usage in the first half of 2026.

In June, the finance software provider recorded its highest monthly financial document and payment volumes. The platform now supports 600,000 users across more than 50 countries and has processed more than 300 million financial documents since its founding.

The figures suggest continued demand for finance automation tools as businesses manage rising transaction volumes while trying to limit manual work in back-office teams. Growth was especially strong in sectors with heavy paperwork and high invoice volumes, including automotive, heavy trucking, construction, manufacturing and hospitality.

That sector mix helps explain where Yooz is gaining traction. Businesses in those industries often handle large numbers of purchase orders, invoices and supplier payments, putting pressure on finance teams to process transactions quickly while maintaining oversight.

Yooz also highlighted customer wins outside those core sectors, including Hydrafacial and Blue Water Development Corporation. Partnerships contributed to recent growth, particularly in automotive through its relationship with CDK and in manufacturing through integrations with Epicor.

AI rollout

Alongside customer growth, Yooz has introduced a series of product features built around artificial intelligence. They include AI-powered Line-Level PO Matching and intelligent GL allocations, as well as Vendor Statement Automation, YoozProtect and Automatic Invoice Fetcher.

Line-Level PO Matching is aimed particularly at manufacturing finance teams, where invoice reconciliation can be more complex because of high transaction volumes and detailed purchasing records. The tool is designed to help users match invoices and purchase orders more accurately and reduce the number of exceptions requiring manual review.

Much of the company's recent product development reflects a broader shift in finance operations, as businesses test AI tools in specific workflows rather than replacing entire processes at once. In practice, that has meant focusing on repeatable tasks such as document capture, coding, matching and allocation.

"Finance teams are under growing pressure to support business growth while keeping a close watch on costs and risk," said Laurent Charpentier, Chief Executive Officer, Yooz.

"What we're seeing across the platform shows how central automation and AI have become for modern finance teams. Our focus is on giving them better visibility, stronger control and more intelligence across their operations," Charpentier said.

Industry demand

Finance software suppliers have increasingly targeted sectors where accounts payable departments face the heaviest administrative burden. Automotive dealerships, manufacturers, construction groups and transport operators often process high supplier volumes, making them a natural market for software that automates invoice handling and payment workflows.

Yooz's expansion in those areas was supported by product integrations and growing interest from businesses seeking to scale operations without adding equivalent levels of manual processing. That reflects a wider trend in corporate finance departments, where software spending is often justified by labour savings, improved audit trails and fewer processing errors.

The company also outlined its next product priorities, naming vendor onboarding and lifecycle management, AI agents, expense management and spend intelligence as focus areas. Those additions suggest Yooz is looking beyond invoice automation to a broader set of finance administration tasks.

For finance teams, the challenge is not simply adopting AI but using it in ways that remain understandable and controllable within established approval structures. Vendors in the sector have increasingly emphasised oversight and explainability as customers weigh the benefits of automation against the risks of errors in payment and accounting processes.

"The next phase of finance automation will be about helping teams manage more without creating more work, all while building trust around leveraging AI," Charpentier said.

"We're investing in AI that strengthens automation, control and explainability to give finance teams more room to focus on the business," he said.