GS1: Better retailing through linked data
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GS1: Better retailing through linked data

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

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

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    GS1: Better retailing through linked data GS1: Better retailing through linked data Presentation Transcript

    • Better Retailing Through LinkedDataJay Myers,
    • Products are complex objectsWidth: 35 ¾”Height: 68 1/2”Depth: 29 1/8”Color: BlackBrand: SamsungMaterial: Stainless steelFrench doorsRegular price: $2,599.99Sale price: $1,949.99Model Number:RF267AERS/XAABottom-loading freezerTotal capacity: 25.8 cu.ft.Freezer capacity: 8.1 cu. ft.Gallon doorstorage
    • They also have complex relationshipsProduct A Product B Product CSub-productZSub-productYSub-productXSub-productWSub-productVSub-productU
    • There are many of them…and they are specific
    • We are evolving…“Human-readable” web of data “Machine-readable” web of 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; withWi-Fi - 16GB</span></h1><div id="detailband" rel="v:rating"><strong>Model:</strong><spanproperty="gr:hasMPN">MB292LL/A</span><span class="sep"> |</span><strong>SKU:</strong><spanproperty="gr:hasStockKeepingUnit">9811355</span><br/><div id="reviewband" typeof="v:Rating"><strong>Customer Reviews:</strong><imgsrc="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"><ahref="#customerreviews">Read reviews (<span property="v:count">179</span>)</a></span></div>
    • What does this get us?
    • Business benefits•  SEO/ product visibility•  Promoting better product discovery on anever-expanding web•  Creating more informed consumers throughfindability (increased sales, decreasedreturns)•  Utilize all of your product catalog – theproduct “long tail”
    • Machine readable web of data
    • What does this get us?Deep, queryable product insightBest Buy example:“Find me a description of the band Abba from the web of opendata and an album for sale by them at Best Buy”Result: ABBA was a Swedish pop/rock group formed inStockholm in 1972, comprising Agnetha Fältskog, BennyAndersson, Björn Ulvaeus and Anni-Frid Lyngstad.ANDBest Buy Sells the CD: ABBAMania: Tribute to ABBA – VariousArtists, SKU 12073151
    • Other examples“Like for like” featureFor any given Best Buy product, display the products mostlike it, based on their product attributes
    • Other examples, cont.“Emotional Weather Report” POCGiven the weatherat a particular BestBuy store, displayproducts that mightmatch the moodpeople are in due toweather/environment
    • Business benefits•  New avenues of customer personalization•  Deeper, more relevant and contextualcustomer experiences•  Utilize all of your product catalog – theproduct “long tail”
    • Q&AJay.Myers@bestbuy.com@jaymyers