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

is retail moving towards fixed rfid
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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


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IS RETAIL MOVING TOWARDS FIXED RFID?

Praveen Kannan Market Product Manager Identification, Measurement & Integration

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2 Name | Event | Confidential Date

AGENDA

  • 01. Current Trend
  • 02. Fixed Infrastructure
  • 03. Case Studies
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01

CURRENT TREND IN RETAIL

3

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EVERYTHING IN-FOCUS

Retail with RFID = Delivering exceptional visibility

Towards INFINITY

RFID systems provides INFINITE number of read points to maintain inventory

Towards ONE

RFID systems measurement helps towards producing lot sizes of ONE

EXCLUDING CURRENCY* TOTAL GROWTH

Towards ZERO

RFID systems provides exceptional inventory control moving towards zero OSS

4

RETAIL WITH RFID R

Range

F

Flexibility

I

Intensity

D

Density

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WHAT DO WE KNOW ABOUT RFID IN RETAIL?

Study Adoption BOPUS Use-Case ROI

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02

FIXED INFRASTRUCTURE

6

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FIXED VS HANDHELD READER IN RETAIL?

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FIXED INFRASTRUCTURE IN A STORE

Need

Increasing labour costs – Significant time spent on Stock take and reconciliation Dual focus on Lot Size of One Vs. managing large SKU

Benefits

Fixed readers provides the best data possible to manage products and customer expectation Fixed Readers eliminates the need for Human Interaction thereby enable full M2M Communication Fixed readers have the dual- capability to provide location tracking and stock-control Retail stores becoming more dynamic with a range of products and customer behavior

In-Out Grid Dense Loose Last Seen Smart Shelf

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RETAIL COVERAGE MODELS

In-Out Coverage In and Out Grid Coverage On the aisle Dense Coverage Everywhere Loose Coverage Last Seen Smart Shelf

1 2 3 4 5 6

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03

CASE STUDIES

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SPORTING GOODS RETAIL CHAIN

Dense Coverage Model

Tracking every item on the shop floor to eliminate OOS

1

Improved customer interaction with the items and store associates

2

Dual-purpose of stock-take and location tracking

3

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OMNI-CHANNEL SUPERMARKET

Grid Coverage Model

Tracking every item on the shop floor to eliminate OOS

1

Minimise effort to find missing items with approx. locationing

2

Minimise labour cost to perform periodic stock-take (with RFID HH)

3

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FASHION RETAILER

In-Out Coverage Model

Improving trying-buying ratio: Items in fitting room made to POS

1

Deep learning techniques for servicing different customer needs

2

Track back-store to front-store efficiency

3

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

THANK YOU