Iconic workwear clothing brand chooses Centric Planning to gain visibility, industry best practices and data-based decision-making
CAMPBELL, Calif., Jan. 28, 2025 /PRNewswire-PRWeb/ -- Centric Software® is pleased to announce that Carhartt, America's heritage premium workwear brand, has selected Centric Planning™ for its innovative enterprise solutions. These solutions include the ability to plan, design, develop, source, buy, make, price, allocate, sell and replenish products such as fashion, outdoor, luxury, footwear, outdoor, home and related goods like cosmetics & personal care as well as multi-category retail to achieve strategic and operational digital transformation goals.
Centric Planning's tools enable customers to unify planning, merchandising and replenishment processes under one scalable, AI-driven platform.
"With Centric Planning, we've streamlined operations, connected teams and established a single source of truth for planning, financials and inventory," said Eric Hrubik, Director of Global Application Technologies at Carhartt. "Centric Planning delivers the capabilities we need while seamlessly integrating with our existing Centric PLM™ to create full business flow synergies."
By integrating AI-powered modules for Merchandise Planning, Assortment Planning, Allocation & Replenishment and Demand Planning, Carhartt can forecast with precision, reduce reliance on spreadsheets and align sustainability goals with actionable insights.
Fabrice Canonge, President of Centric Software, says "We are excited to deepen our relationship with Carhartt as they adopt Centric Planning to drive their retail operations forward. Our AI-powered solutions integrate smoothly to create a flexible, end-to-end platform that enables smarter decision-making and sustainable growth. Carhartt's move demonstrates their commitment to innovation and Centric Planning is perfectly aligned to support their vision."
Media Contact
Aurore Evee, Centric Software, +16479155377, [email protected], www.centricsoftware.com
SOURCE Centric Software
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