For some of us, delivering connected retail experiences isn’t just our passion, it’s in our jeans. At the NRF Big Show today, Intel announced the launch of the Intel Retail Sensor Platform, a near real-time RFID inventory solution that is already in use by Levi Strauss & Co. Watch the video.
“We’re interested in technology that’s going to enhance and improve the consumer experience in our stores,” said Noah Treshnell, senior VP, Americas, Levi Strauss & Co. “We’re bringing that to life through accuracy and inventory visibility, so that when consumers come into our stores they find what they want. They find it in their size, on the shelf, and it’s available. And as important, we’re empowering our stylists with the right tools to deliver superior customer service.”
Giving Brick and Mortar the Edge of Digital Insight
The Intel Retail Sensor Platform is a simple, affordable way for retailers to gather actionable, near-real-time inventory intelligence—saving money and converting more sales. It tracks items through RFID tags, preserving customer privacy, while keeping sales staff informed on inventory, stocking, customer traffic, and local demand. It can reduce losses from misplaced or out-of-stock items, and inventory shrink. The open source Trusted Analytics Platform (TAP) enables big data analytics in the cloud for deep insight.
Platform components are easy to integrate with existing store systems and applications, and the resulting analytics can be viewed on computers and devices located in stores and at company headquarters. Bottom line: brick-and-mortar retail stores can increase inventory accuracy to nearly 100 percent. “At the heart of it, what we’re bringing to life together is technology that’s going to improve and enhance the consumer experience,” Treshnell said. “That’s what this is about. It’s about taking the information to inform better current and future business decisions—to ultimately benefit the consumer in our stores. We want to satisfy and delight the consumer every single time they come into our stores, and this is going to help deliver on that promise.”
There are numerous opportunities presented by the Intel Retail Sensor Platform, including:
- Inventory accuracy: Enables retailers to know exactly what inventory they have in-store with near 100 percent accuracy
- Anonymous customer path mapping: Overlay customer path and heat maps to inventory movement
- Replenishment: Get replenishment alerts when inventories are low at a subcategory level (size, color, etc.) at designated locations in the store
- Misplaced items: Maintain inventory in the appropriate location according to the planned store layout
- Item consideration and path to purchase: Understand what items are touched, tried on, and eventually sold in the store; gain insight into how inventory moves as part of the customer journey
- Layout optimization: Optimize layout and product placement
Built to Support IoT Ecosystem Solutions
This end-to-end retail analytics-based solution is designed to help ecosystem solution providers and retailers create and deploy innovative retail systems. Solution components include:
- Intel-based Retail Sensors: Low-cost, low-power integrated sensors with RFID capability and an expandable sensor suite
- Intel-based Gateway: Gathers and filters sensor data, providing intelligent, trusted connectivity at the edge
- Cloud Platform: Open-source analytics platform-as-a-service (PaaS) for cloud applications
- Trusted Analytics Platform (TAP): Provides big data analytics on open-source Hadoop and open-source OpenStack for orchestration with private cloud or major public cloud providers
The Intel Retail Sensor Platform can help brick-and-mortar retailers get more value from inventory data, delight customers, and prepare for new experiences. Now, retailers can turn the brick-and-mortar experience into a competitive edge.
To learn more about the Intel Retail Sensor Platform, visit newsroom.intel.com. To learn more about Intel IoT retail innovations, visit intel.com/retail. To stay up-to-date with Intel IoT developments, keep your eyes on this blog, intel.com/IoT, LinkedIn, Facebook, and Twitter.