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Article
Road to Value for RFID in Retail: Part One--Selecting the Right Initial Use Case

In this first in a series, we discuss the many potential use cases for retailers implementing RFID, criteria to select the best place to start, and which initial use case is the one overwhelmingly being chosen by retailers as their starting point.


Full Article Below -
Untitled Document

Road to Value for RFID in Retail—Article Series
  1. Selecting the Right Initial Use Case (this article)
  2. RFID Reader Hardware Infrastructure
  3. Retailer's RFID Roadmap
  4. The Path to Continuous Real-time Visibility

( This article is excerpted from the report The Rapid Road to Value for RFID in Retail, available for download here. )

Introduction

More than ever, retailers are reimagining their businesses—the functions their stores provide, the value they bring, and how they operate, driven not only by the rise of omni-channel and the need to respond to competitive threats from Amazon and others, but as well by the possibilities that new technologies create. We are at the beginning of a new era, where the store is a multi-faceted venue with the ability to fulfill orders with the efficiency of a warehouse and capture shoppers’ buying behaviors and personalize as well as websites do, all while providing the experiential and human touches that only a physical store can.

A key element of this transformation is developing a highly precise and granular view with deep insights into what is actually going on in the store by enabling it with sensors and data collection devices. That is not just some hypothetical vision of a store of the future. Key technology elements are available today to make this possible. In particular, many retailers are using RFID (Radio Frequency Identification) today across their chains to achieve superior item-level visibility, a key enabler of the new re-imagined store.

The use of RFID in retail has been accelerating in the past few years, with a growing number of retailers adopting this technology widely and successfully across their businesses. Retailers will apply RFID tags to over five billion items this year, growing to about seven billion tagged items next year. Most of these existing deployments rely on handheld RFID readers, which have proven to be very flexible, easy to deploy, and cost-effective. Recently, pilots with newer technologies, such as overhead RFID readers, offer the promise of a more automated and continuous real-time view of what is happening in the store, enabling use cases beyond optimized inventory management to fulfill the vision of the re-imagined store and shopping experience.

As RFID technologies and options evolve, different solution providers are offering differing advice about the best place to start RFID projects and the most appropriate type of reader infrastructure to use. Conflicting advice can make it harder for those evaluating RFID to know where to begin and to confidently create a roadmap for moving forward. In this paper, we provide some objective guidance, based on our research, to help retailers establish an implementation roadmap that provides rapid yet sustaining value, supporting vital current initiatives such as omni-channel order fulfillment, while providing a path to more ambitious goals, with the ability to expand and adapt as RFID solutions evolve.

Selecting the Right Initial Use Case: Let Rapid ROI be the Guide

Retailers must first decide what their goals and use cases for RFID will be. This requires some analysis and thought. Key decision points include:

  • What use case will drive the quickest initial ROI?
  • Where is the retailer having the greatest operational chalenges?
  • What metrics will be measured to determine success?
  • How can RFID support the retailer’s most important goals and initiatives, such as omni-channel?

There are many potential starting points for retailers who can implement RFID for a variety of use cases, to achieve a variety of benefits, such as:

  • Store Inventory Management—Using RFID to count inventory in the store enables dramatic increases in SKU-store inventory accuracy, leading to lower OOS1 levels, better supply chain and in-store replenishment, and an optimal mix of product on the sales floor, resulting in an uplift in sales—especially for high mix complexity categories.2 Higher inventory accuracy also leads to smarter and more timely markdowns and the ability to send inventory to where it is more likely to be consumed, thereby decreasing the amount of markdowns required, while improving gross profit margins;
  • Omni-channel—Successful omni-channel3 fulfillment requires high inventory accuracies across all locations, which RFID delivers.4 High inventory accuracy is the foundation for reliable, accurate, profitable customer order fulfillment across multiple channels;
  • Display/Promotion management—The Achilles heel of on-floor displays and/or promotions is often in execution. RFID can help ensure that merchandise which is sitting in the backroom is accurately represented on the selling floor in all styles, colors and sizes, as well as facilitate getting new items promptly to the selling floor as they arrive in the store;
  • Loss prevention—At its core, RFID typically complements existing electronic article surveillance5 (EAS) systems. Unlike live EAS tags which simply trigger an alarm, RFID technology can identify exactly what individual item triggered that alarm—down to the exact size, style and color—so that if something is lost, RFID tag data enables the store to restock that item quickly. In addition, by analyzing loss patterns (exactly which items are stolen, from where, and when), better protective measures can be put in place. It has proven difficult to isolate RFID read zones to the same level of specificity as EAS systems, but as the technology continues to advance, RFID may eventually replace the traditional EAS function;
  • Supply chain—Each tagged item can be read at each operational step throughout its journey—from the point of manufacturing to the place it is finally sold—verifying that the right items and quantityare being picked, packed, shipped, and received. This verification process reduces errors in each step throughout the supply chain;
  • Merchandising/Planogram—RFID holds the promise of a much more precise understanding of customer shopping behaviors such as: What items are customers considering for purchase? Which are purchased together? What is the sequence in which customers are picking out the items? As well as numerous other customer behavior observations. This information can be used to improve merchandising, planogram, store layout, and other product- and store-related decisions;
  • Customer experience—Some retailers are experimenting with using RFID to enable various customer-experience related applications, such as self-service Kiosks, smart mirrors in dressing rooms, endless aisle,6 and related experiences;
  • Sample management—Some retailers are using RFID to track and manage samples from their suppliers. Samples are often four times the cost of the final production item and are frequently misplaced when being used for photography shoots or materials background and research activities. RFID provides a check-in/check-out system and the ability to locate items that are not in the sample library when needed.

Read Accuracy Vs. Inventory Accuracy

When discussing the accuracy achieved by RFID, it is important to distinguish between Read Accuracy versus Inventory Accuracy:

  • Read Accuracy—Sometimes called ‘read rate,’ refers to the percent of items successfully read by an RFID reader. If there are 1,000 items and 995 of them are successfully read, then the read accuracy is 99.5%. With today’s handheld technology and the right training and compliance monitoring of its use by store associates, it is common to achieve 99% or better read accuracy.
  • Inventory Accuracy—There are many different ways to measure inventory accuracy, but in the context of RFID for store inventory management, what matters is SKU/Store inventory accuracy. Within the retailer’s inventory management system, there is a set of perpetual inventory counts, one for each SKU in each store. If there are 10,000 SKUs in a store, and 7,000 of the SKU counts are correct (3,000 incorrect), then the inventory accuracy is 70%. Retailers’ average SKU/Store inventory accuracy is typically in the low-60% to high-70% range. RFID can be used to improve SKU/Store inventory accuracy to 95% to 98%+.9

There are many more ways that RFID can be applied to generate value in the retail store, but this list encompasses the ones that come up most often. Given all these choices for use cases, where should a retailer start? The overwhelming majority of successful implementations have centered first and foremost on one primary use case, optimizing Store Inventory Management. Our research has shown that inventory management, when applied to the right retail categories,7 provides by far the largest and most direct financial benefits for most retailers—OOS reduction resulting in sales uplift typically in the 5% to 15% range, and markdown avoidance resulting in margin improvements of 1% to 5%. OOS reduction and markdown avoidance are driven by the inventory accuracy improvements realized by the regular use of RFID based inventory cycle count processes. Retailers’ average SKU/Store inventory accuracy is typically in the low-60% to high-70% range. By using handheld RFID readers to cycle count on a regular basis, with the right program in place,8 most retailers achieve 95% to 98+% accuracy. It is this dramatic increase in inventory accuracy that drives the benefits of OOS reduction, markdown avoidance, sales increase, and profitable omni-channel fulfillment.

In part two of this series, we look at the various choices available for RFID reader hardware infrastructure and their varying stages of maturity, capital costs, and implementation implications.

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1 OOS=Out of Stock. Reductions in out-of-stock rates result in sales uplift, as more people find what they are looking for on the shelves. -- Return to article text above

2 High mix complexity categories are those that have a large number of SKUs and variants (such as size, color, style), making it harder to replenish these categories accurately. -- Return to article text above

3 Omni-channel takes a multichannel approach to sales, seeking to provide the customer with a single seamless shopping experience whether she is shopping online from a desktop or mobile device, by telephone, or in a bricks and mortar store. -- Return to article text above

4 RFID can also help with returns management, which can be a particular challenge in omni-channel retailing, buying online, and returning to store. -- Return to article text above

5 EAS systems use the anti-theft hard tags you often see on garments and other high value items, which store associates remove or deactivate after an item is purchased. -- Return to article text above

6 ‘Endless aisles’ refers to the use, within the physical store, of kiosks, tablets, and mobile devices (in some cases including the consumer’s own smartphone) to provide the customer access to inventory outside of the store, thereby providing a much wider selection of merchandise for the consumer. This could include items in others stores, the retailer’s DC, or direct ship from the manufacturer. -- Return to article text above

7 Categories with high mix complexity and enough per-item margin yield the largest ROI. -- Return to article text above

8 I.e. Associate and store management training and compliance monitoring for cycle counting with RFID. -- Return to article text above

9 How does RFID improve SKU/Store inventory accuracy? At each manual cycle count (without RFID) the inventory accuracy is brought up to around 98% to 99%. That accuracy immediately starts degrading due to accumulated errors in receiving, shrinkage, and POS. By the time the next cycle count is done (typically after six months), the accuracy will have fallen usually into the 60% to mid-70% range. The accuracy after an RFID cycle count is similar, brought up to 98% to 99+% (this is where read accuracy comes into play). However, RFID cycle counting is about 25X faster than manual counting, so can be done much more often (typically once every 1, 2, or 4 weeks) resulting in much less degradation between counts, hence a much higher average inventory accuracy. -- Return to article text above


To view other articles from this issue of the brief, click here.




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