gs1: better retailing through linked data

14
Beer Retailing Through Linked Data Jay Myers,

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My recent presentation to GS1 group, including some new shots of Best Buy semantic POCs

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Page 1: GS1: Better retailing through linked data

Be!er Retailing Through Linked Data

Jay Myers,

Page 2: GS1: Better retailing through linked data

Products are complex objects

Width: 35 ¾”

Height: 68 1/2”

Depth: 29 1/8”

Color: Black

Brand: Samsung

Material: Stainless steel

French doors

Regular price: $2,599.99 Sale price: $1,949.99

Model Number: RF267AERS/XAA

Bottom-loading freezer

Total capacity: 25.8 cu. ft.

Freezer capacity: 8.1 cu. ft.

Gallon door storage

Page 3: GS1: Better retailing through linked data

They also have complex relationships

Product A Product B Product C

Sub-product Z

Sub-product Y Sub-product

X

Sub-product W

Sub-product V Sub-product

U

Page 4: GS1: Better retailing through linked data

There are many of them…

and they are specific

Page 5: GS1: Better retailing through linked data

We are evolving…

“Human-readable” web of data “Machine-readable” web of data

Page 6: GS1: Better retailing through linked data

Human readable web of data

<div id="productsummary" xmlns:v="http://rdf.data-vocabulary.org/#" xmlns:gr="http://purl.org/goodrelations/v1#">

<div class="pdpsummarybox" typeof="v:Review-aggregate"> <h1><span rel="v:itemreviewed">Apple&#174; - iPad&#153; with

Wi-Fi - 16GB</span></h1> <div id="detailband" rel="v:rating"> <strong>Model:</strong><span

property="gr:hasMPN">MB292LL/A</span><span class="sep"> |</span> <strong>SKU:</strong><span

property="gr:hasStockKeepingUnit">9811355</span><br/> <div id="reviewband" typeof="v:Rating"> <strong>Customer Reviews:</strong><img

src="misc/ratings_star_4_1.gif" alt="4.1 out of 5 stars" /> <span id="reviewscore" property="v:average">4.1</

strong></span> <span content="5" property="v:best"/></span> <span id="reviewnum"><a

href="#customerreviews">Read reviews (<span property="v:count">179</span>)</a></span>

</div>

Page 7: GS1: Better retailing through linked data

What does this get us?

Page 8: GS1: Better retailing through linked data

Business benefits

•  SEO/ product visibility •  Promoting be!er product discovery on an

ever-expanding web •  Creating more informed consumers through

findability (increased sales, decreased returns)

•  Utilize all of your product catalog – the product “long tail”

Page 9: GS1: Better retailing through linked data

Machine readable web of data

Page 10: GS1: Better retailing through linked data

What does this get us? Deep, queryable product insight Best Buy example: “Find me a description of the band Abba from the web of open data and an album for sale by them at Best Buy” Result: ABBA was a Swedish pop/rock group formed in Stockholm in 1972, comprising Agnetha Fältskog, Benny Andersson, Björn Ulvaeus and Anni-Frid Lyngstad. AND Best Buy Sells the CD: ABBAMania: Tribute to ABBA – Various Artists, SKU 12073151

Page 11: GS1: Better retailing through linked data

Other examples “Like for like” feature For any given Best Buy product, display the products most like it, based on their product a!ributes

Page 12: GS1: Better retailing through linked data

Other examples, cont. “Emotional Weather Report” POC

Given the weather at a particular Best Buy store, display products that might match the mood people are in due to weather/ environment

Page 13: GS1: Better retailing through linked data

Business benefits

•  New avenues of customer personalization •  Deeper, more relevant and contextual

customer experiences •  Utilize all of your product catalog – the

product “long tail”

Page 14: GS1: Better retailing through linked data

Q&A

[email protected]

@jaymyers