Scotts Miracle-Gro utilizes machine learning to address excess inventory issues.

Scotts Miracle-Gro is utilizing machine learning and AI to enhance its inventory management and demand forecasting, particularly after facing unsustainable inventory levels post-COVID-19. The company reduced its inventory from $1.3 billion to an expected under $500 million by 2025, while also decreasing its distribution centers from 18 to five. This strategic shift involved implementing advanced planning tools to better predict inventory needs at individual retail locations, moving away from outdated methods. Additionally, Scotts is integrating its machine learning models with new ERP systems to optimize supply chain efficiencies and aims to save $150 million over three years through technology improvements.