Wolters Kluwer launches Genya Magazzino to help Italian SMEs streamline inventory control and improve decision‑making

Wolters Kluwer launches Genya Magazzino to help Italian SMEs streamline inventory control and improve decision‑making

Wolters Kluwer Tax and Accounting Italy has announced the launch of Genya Magazzino, a new cloud solution designed to help small- and medium-sized businesses (SMEs) manage inventory more efficiently, improve data accuracy and support better business decisions.

Managing stock effectively has become a strategic priority for businesses. However, many organisations still rely on manual or disconnected processes, limiting visibility and creating inefficiencies that impact invoicing, financial reporting and planning. This reflects a broader digitalisation gap among Italian SMEs. According to Wolters Kluwer’s Future Ready Business report, only 30% are fully cloud-based, while 16% still operate entirely on-premises, highlighting a continued opportunity to modernise core business processes.

“Effective inventory management is increasingly critical for small businesses, directly impacting liquidity, operational continuity and the quality of decision-making,” said Gianluca Enea, Associate Director Technology Product Management, Wolters Kluwer Tax & Accounting Italy. “With Genya Magazzino, we are helping companies move beyond fragmented, manual processes by providing a simple, integrated solution that delivers real-time visibility and aligns inventory management with core administrative workflows.”

Genya Magazzino extends the Genya suite with dedicated functionality tailored to SMEs that need a practical and scalable approach to inventory control. Designed for companies typically employing between five and 15 people, the solution allows users to monitor stock levels in real-time, automate updates through business documents and maintain a consistent and integrated view of operations.

By integrating inventory management into a single cloud-based environment, Genya Magazzino enables businesses to streamline operations and strengthen control over their data.

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