SANTA BARBARA, Calif., USA – QAD Inc., a leading provider of next-generation manufacturing and supply chain solutions in the cloud, announced that Finlays, a UK-based leader in tea and coffee production, has adopted QAD Process Intelligence to enhance supply chain visibility, streamline operations and elevate customer service while reducing costs.
With a history dating back to 1750, Finlays operates across four continents and supplies tea, coffee, and extract ingredients to brand owners, retailers and foodservice operators worldwide.
By utilizing real-time, data-driven insights powered by QAD Process Intelligence, the company will gain unprecedented visibility into its supply chain, enabling greater business transparency and eliminating the inefficiencies inherent to processes designed around assumption-based models.
This investment underscores Finlays’ commitment to continuous improvement, ensuring greater agility, efficiency and value for its customers.
“As a company with a long heritage, we recognize the importance of innovation to stay competitive in today’s dynamic supply chain landscape. QAD Process Intelligence will enable us to make data-backed decisions that enhance efficiency, improve supplier management, and deliver better service to our customers,” said a Finlays representative. “With improved process transparency, we can unlock new operational value, reduce costs, and drive continuous improvement across our supply chain.”
“Many companies struggle with inefficiencies hidden beneath long-standing assumptions. QAD Process Intelligence provides real-time process visibility, allowing businesses like Finlays to uncover inefficiencies, identify actionable opportunities, and drive meaningful improvements,” said Simon Pioche, Director of Business Practice for Process Intelligence at QAD. “We are excited to partner with Finlays to help them unlock new levels of supply chain efficiency and agility.”
QAD Process Intelligence combines leading-edge process mining with industry best practices to enable radical and actionable business transparency by monitoring processes around the clock with automated deviation alerts, eliminating inefficiencies from assumption-based models, predicting continuous improvement outcomes with greater confidence, and ensuring relevant results through out-of-the-box use cases tailored to real business processes.
