SUCCESS STORIES

Stanley Black & Decker: Increasing efficiencies and reducing product costs via contextual data insights

November 1, 2023

Stanley Black & Decker stands as a trusted global leader, renowned for providing tools and innovative solutions that fortify infrastructure systems, construct bridges, and fuel everyday life. Driven by an unwavering commitment to delivering high-quality, cost-effective products, Stanley Black & Decker embarked on a journey to elevate their product designs and manufacturing supply chain network.

 

Product productivity teams struggled to easily identify opportunities for component cost reductions due to engineering complexity and strict product design requirements. Supply Chain teams experienced frustrations due to constrained manufacturing supply chain visibility for capacity risk mitigation and manufacturer discovery for supply chain resilience initiatives.

 

Partsimony’s unique unification of engineering and manufacturing supply chain context provided Stanley Black & Decker with deeper context to rapidly identify potential solutions to reduce component costs and increase organizational productivity in a repeatable and sustainable manner.

 

Partsimony’s strong value proposition solves complex requirements by unifying engineering & supply chain in a process that creates outcomes in a cost effective, high quality, and repeatable manner.” Marty Guay, Vice President of Business Development, Stanley Black & Decker

 

Partsimony helped Stanley Black & Decker to identify opportunities to improve engineering design and utilize alternative manufacturing methods, expand manufacturer supply chain network, and discover new suppliers at the sub-tier level and enhanced infrastructure that utilizes context from engineering and manufacturing supply chain activities.

Solution(s) Discussed in this Post
Partsimony: AI-powered Adaptive Manufacturing Supply Chains

Partsimony: Your ultimate AI data intelligence solution for manufacturing supply chains. Harness unique engineering insights to create an adaptive manufacturing supply chain, optimized for risk resilience & sustainability at the component level.

 

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