Global sports betting and gaming operator Betsson Group has completed a procurement digitalisation project in a bid to drive business growth.
In partnership with digital procurement and supplier firm JAGGAER, the company rolled out a structured digital transformation programme designed to streamline internal processes, enhance information accessibility, and improve budget visibility across the organisation.
As part of the move, the betting company has implemented a source-to-pay platform to support its budget-to-pay lifecycle, designed to deliver a more consistent and transparent operating model, unified workflows, and real-time information for internal stakeholders.
Through the rollout of a number of tools, including e-procurement and AI-driven contracts technology, the company said its contract governance has also been improved, with agreements and obligations consolidated within a central system.
Additionally, the betting operator’s supplier management processes have also become more structured, supporting due diligence, security checks, and ongoing monitoring.
Betsson Group says that the project has delivered clear and measurable results, with the business managing more than €130 million in spend across over 6,000 purchase orders with “full budget traceability.”
More than 2,000 active contracts have been centralised and made fully transparent, while over 300 supplier onboarding requests have been validated through structured workflows involving both procurement and legal teams, explained the business.
Fabio Palusci, procurement director at Betsson Group, said that in the betting and gaming industry speed and accuracy are “essential”, adding that establishing strong internal controls and full compliance is a critical part of enabling sustainable growth.
“Access to accurate, up-to-date data is fundamental for informed decision-making,” he continued. “This digitalisation work is part of our continuous efforts to improve how we manage information flows and support the wider business.”
The company is also planning to explore opportunities to boost efficiency with automation and AI-supported insights.
“Artificial intelligence should support human expertise, not replace it,” continued Palusci. “Our goal is to free up time from repetitive tasks so we can focus on strategic initiatives where human judgment truly makes the difference.”
