ScottsMiracle-Gro is expanding its use of Kinaxis’s Maestro AI planning platform across its North American supply chain. The rollout builds on a multi-year overhaul that helped the company recover from a post-pandemic inventory glut.
The turnaround: Scotts has made significant progress, according to Supply Chain Dive. This includes:
Cutting inventory from a $1.3B peak in 2023 to $627M in 2025, targeting under $500M
Consolidating distribution from 18 centers to 5
Banking $75M toward a $150M three-year supply-chain cost-out target
Why AI: Scotts runs on weather-driven demand, where a warm spring weekend can spike orders in days. The company previously relied on manual planning with little standardization across business units, making it harder to respond quickly. Maestro models weather changes, material constraints, and production tradeoffs in real time, letting Scotts rebalance across its leaner network without carrying extra safety stock.
“We needed a supply chain platform that is dynamic, reliable and responsive,” said SVP David Huskisson.
The bet: Scotts chose to buy its way into agentic planning rather than build in-house. It is a route a growing set of consumer goods operators are taking, from SAP's Joule to Oracle’s Fusion agentic apps. Others like Shopify have built their own machine-learning stacks.
Kinaxis announced the wider rollout, building on the results Scotts has already booked.
