Lotto Sport and Stonefly expect quality improvement with Centric PLM

Centric Software, a leading PLM solution for fashion, retail, footwear, luxury, outdoor and consumer goods companies, has added Lotto Sport, the global Italian sportswear company, and Stonefly, the Italian footwear producer, to its list of clienteles. Lotto Sport and Stonefly have selected Centric Software to provide their product lifecycle management (PLM) solution. 

It may be mentioned here that Lotto purchased a stake in Stonefly and is in the process of integrating the IT, finance and product development departments of both companies. This is where company faced the major challenge of harmonizing the information systems of both companies and ensuring that the overall system was flexible enough to adapt to changes and share data efficiently.

Sebastiano Di Camillo, Head of Information Technology, Lotto explains, “Lotto had a PLM system in place, but Stonefly had no system at all. We used our PLM system for four years but because it was highly customized, it became more and more inflexible and difficult to evolve. The upcoming project with Stonefly gave Lotto the opportunity to review our information systems structure and look for a more flexible solution. As a result, we decided to change the PLM we had been using and start fresh with a new system across both companies,” adding, “Flexibility was the key requirement for the new system.”

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The company chose Centric PLM as it is a highly configurable solution with no customization. A good trade-off between cost and quality and its user-friendliness makes it a perfect choice for Lotto. With a highly international workforce, efficient communication is crucial. Camillo expects to see improvement in the amount and quality of data available to users. “We’ll have more information, with major improvements in quality and we will have more visibility into costs and calendars. We have a lot of people involved in developing collections and with Centric PLM in place, we will be able to make this more efficient with far fewer errors than in the past,” says Camillo.