Tractor Supply Is Putting Its Weight Behind AI
Tractor Supply Snapshot
- Operates more than 2,200 stores in 49 states.
- Stores span roughly 15,000 square feet on average
- Stocks around 20,000 SKUs per store
- Offers more than 350,000 SKUs online
- Hit $14.6 billion in sales in 2023
- Average transaction is about $60
- 70% of orders attributed to store
- Has more than 50,000 full and part-time team members.
It also involves localizing product assortment, integrating the physical and digital channels, and streamlining operations — all things the retailer is betting on AI to not completely run or fix, but rather to improve.
“It’s not just about the technology; it’s about how you augment the [community/customer connection] using AI,” Lettera said. “That human element is still there, so if something is wrong, there’s someone there to care for it. If there’s a gap in what’s being provided [to the customer], there’s a human there to make that connection.”
To gain momentum, a year ago, the Tractor Supply’s strategic leadership team started looking at a plethora of use cases, as well as where they could layer in AI experiences based on the investments they’re already making. Among them, the team determined inventory was particularly important.
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Allison outlined some AI advancements Tractor Supply has made and is focusing on, including:
- Real-time inventory, as 70% of orders are attributed to stores
- Predictive inventory forecasting
- Dwell-time tracking and automated alerts
- Personalization by leveraging customer insights from its loyalty program through the mobile app, e-commerce, or in-store
- Equipping all team members with earpieces and AI communicators, known as Hey GURA, that are connected to the cloud so they can interface and get info about sales, store conditions, rewards, and more
- Computer vision (or “Tractor Vision”) using AI in stores to detect such things as long lines forming at registers
- Developing edge computer vision in-house and rolling out to 700 stores this year to virtualize POS and other AI processing
It’s not just about the “big-ticket items,” like developing a mobile app or leveraging a large language model to create unique responses for team members, Lettera added. It’s about the end-to-end experience across the organization, including supply chain, merchandising, marketing technology, digital, corporate systems, data simplification, and more.