SHARE
Facebook X Pinterest WhatsApp

Levi’s Real-Time Tracking of Jeans: RFID in Retail

thumbnail
Levi’s Real-Time Tracking of Jeans: RFID in Retail

RFID in retail

With RFID, Intel analytics, and sensors, Levi’s can quickly find a pair of jeans a customer left by the shirts.

Apr 5, 2016

Name of Organization: Levi Strauss & Co.

Industry: Retail

Location: San Francisco, CA USA

Business Opportunity or Challenge Encountered:

Levi Strauss & Co., one of the world’s leading apparel company and jeans makers, continuously strives to improve the in-store experience.

The company sought to improve the in-store experience by helping to ensure customers can easily find the products they want and avoid missing sales due to misplaced items. The company also sought to build a foundation for generating customer insights – to better understand customer preferences based on in-store behaviors.

Unfortunately, misplaced items can present challenges to that strong experience.

“Over the course of a day, customers occasionally place items in the wrong spot in the store—after deciding against a pair of jeans, a customer might inadvertently leave the jeans next to the shirts,” according to Noah Treshnell, senior vice president of the Americas for Levi’s. “We need ways to help our salespeople quickly find misplaced items, so they can put those items back where they belong and we can avoid losing sales.”

Locating misplaced items is particularly important for apparel retailers. Unlike other types of retail businesses, apparel retailers often keep only a few of each unique product type—or SKU—in the store. The business might have 50 pairs of each type of jeans in the store but only two or three of each size.

How This Business Opportunity or Challenge Was Met:

RFID in retail

Levi’s turned to Intel to implement a solution that combines Internet of Things technology with advanced analytics to help determine when items are no longer in their correct places.

Levi’s and Intel piloted a solution based on Intel’s Trusted Analytics Platform (TAP), designed to help salespeople quickly find misplaced items in a store so they can ensure those items are on the shelves, in the right spots, and ready for customers. The solution incorporates radio-frequency identification (RFID) tags, in-store sensors, a gateway system, and cloud-based analytics built on TAP. The RFID tags were woven into clothing items.

The Intel team then installed antenna sensors in the ceiling of the store that enable continuous, real-time monitoring of the location of the RFID tags. A gateway system located in the store collects data from the sensors and then sends a smaller set of data to the cloud for detailed analysis. The gateway system conducts some basic data analysis to reduce the amount of data transmitted over the network to the cloud.

The TAP algorithms enables Levi’s team members to discover whether items are misplaced. The algorithms use data collected overnight (when products are stationary) to determine the correct locations for groups of items, such as jackets, belts, or a particular jeans style.  During store hours, as sensors monitor the location of items, the algorithms determine whether an item is located in the correct location for its group. If a pair of jeans is on the proper shelf, or within arm’s reach of that shelf, no action is required from a salesperson. But if that pair of jeans is misplaced or left in a fitting room, the algorithm could generate an alert on a mobile app that an action should be taken.

Measurable/Quantifiable and “Soft” Benefits from This Initiative

The real-time monitoring system is intended to help Levi’s deliver a superior customer experience, as well as help Levi’s keep track of inventory. The insights gained from the solution can also help enhance the efficiency of store operations. For example, analytics insights can reduce the time it takes for salespeople to find misplaced items.

Using Internet of Things technologies in conjunction with TAP algorithms could also help managers and salespeople better control front and back-stock replenishment. Salespeople could receive alerts when it’s time to replenish jeans on a store shelf using stock from a back room. As a result, stock will be more readily available and visible to customers.

“By improving the accuracy of our inventory system, we can help our salespeople provide the right answer, right away. They can immediately find an item or offer an opportunity to order it,” said Treshnell.

(Source: Intel)

Advertisement

Three ways the IoT is used in retail marketing

Why Uniqo employees use handhelds

Recommended for you...

Built for the Future: Why Licensing a Real-Time Interaction Engine Beats Building One
How AI-Powered Omnichannel Communications Optimize Customer Interactions and Engagement
Joy Corso
Dec 28, 2023
Why Voice AI Is Customer Service’s Secret Weapon
Sourabh Gupta
Dec 29, 2022
Overcoming the Challenges of Building a Real-time Architecture for Audience Engagement

Featured Resources from Cloud Data Insights

Why Network Services Need Automation
The Shared Responsibility Model and Its Impact on Your Security Posture
The Role of Data Governance in ERP Systems
Sandip Roy
Nov 28, 2025
What Is Sovereign AI? Why Nations Are Racing to Build Domestic AI Capabilities
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.