IS RETAIL MOVING TOWARDS FIXED RFID? Praveen Kannan Market Product - PowerPoint PPT Presentation

IS RETAIL MOVING TOWARDS FIXED RFID? Praveen Kannan Market Product Manager Identification, Measurement & Integration

AGENDA 01. Current Trend 02. Fixed Infrastructure 03. Case Studies Date Name | Event | Confidential 2

CURRENT TREND IN RETAIL 01 3

RETAIL WITH RFID EVERYTHING IN-FOCUS Retail with RFID = Delivering exceptional visibility Towards ZERO Towards ONE Towards INFINITY RFID systems provides RFID systems provides RFID systems measurement INFINITE number of read exceptional inventory control helps towards producing lot TOTAL sizes of ONE points to maintain inventory moving towards zero OSS EXCLUDING GROWTH CURRENCY* Range R D Flexibility I Intensity F Density 4

WHAT DO WE KNOW ABOUT RFID IN RETAIL? Study Adoption BOPUS Use-Case ROI

FIXED INFRASTRUCTURE 02 6

FIXED VS HANDHELD READER IN RETAIL?

FIXED INFRASTRUCTURE IN A STORE Need Benefits In-Out Retail stores becoming more dynamic Fixed readers provides the best data with a range of products and possible to manage products and customer expectation customer behavior Grid Dense Increasing labour costs – Significant Fixed Readers eliminates the need time spent on Stock take and for Human Interaction thereby reconciliation enable full M2M Communication Loose Last Seen Fixed readers have the dual- Dual focus on Lot Size of One Vs. capability to provide location managing large SKU tracking and stock-control Smart Shelf

RETAIL COVERAGE MODELS 1 3 2 In and Out On the aisle Everywhere In-Out Coverage Grid Coverage Dense Coverage 6 4 5 Loose Coverage Last Seen Smart Shelf

CASE STUDIES 03 10

SPORTING GOODS RETAIL CHAIN Tracking every item on the shop floor to 1 eliminate OOS Dense Coverage Model Improved customer interaction with 2 the items and store associates Dual-purpose of stock-take and location 3 tracking

OMNI-CHANNEL SUPERMARKET Tracking every item on the shop floor to 1 eliminate OOS Grid Coverage Model Minimise effort to find missing items 2 with approx. locationing Minimise labour cost to perform periodic 3 stock-take (with RFID HH)

FASHION RETAILER Improving trying-buying ratio: Items in 1 fitting room made to POS In-Out Coverage Model Deep learning techniques for 2 servicing different customer needs 3 Track back-store to front-store efficiency

THANK YOU Praveen.Kannan@sick.com.au +61 437 877 926 http://au.linkedin.com/in/praveen2014