United StatesConsumer goods2025 – ongoingScottsMiracle-Gro
AI demand forecasting and generative AI in customer service
ScottsMiracle-Gro said AI cut email drafting from 10 minutes to seconds as it passed half of a $150 million supply chain savings target
Problem
Demand for lawn and garden products swings with weather and other factors, which made supply chain planning hard. Customer service agents spent about ten minutes drafting each email, and the internal knowledge base held many duplicate articles.
Approach
A small in-house AI team built a demand forecasting model that uses more than 60 factors, including weather, sentiment and macroeconomic data. It also built a Gemini-based bot that cataloged and cleaned knowledge content. AI agents now draft customer emails in Salesforce for short human review. The company works with partners including Databricks and Google. It tested semi-autonomous forklifts in a warehouse and paused the pilot because the vehicles could not lift its heavy products.
Results
Takeaway
The company reported gains in both supply chain and service work, and it stopped one pilot when the hardware did not fit its products.
Categories
- Size
- Large enterprise
- Industry
- Consumer goods
- Business function
- Logistics and supply chainCustomer service
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLGenerative AI
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
VentureBeat describes how ScottsMiracle-Gro's AI team uses forecasting, a Gemini-based knowledge cleanup bot and email drafting agents. The figures come from the company and were not independently checked. The article also reports a paused semi-autonomous forklift pilot.
Full details are in the original sources.