Social Shopping PlatformSenior Design Project by John Earle

Advisor: Swapneel Sheth

Problem Statement Design OverviewMotivations- Integrate realtime buzz and social marketing into offline storefronts- Improve the offline shopping experience of customers- Provide targeted, product-by-product browsing analytics to businesses

- Products are registered on analytics web app.- QR code is generated for each product- Customers user mobile app to scan QR codes and “save” products- Saved products are broadcasted to friends’ feeds- Product recommendations are provided based on browsing history- Browsing analytics provided on web app.

- Online stores have access to pageviews- Physical storefronts have no access to browsing analytics- Products in online stores are easily shared through social media- Products sold offline have no way to tap into buzz / social marketing

1 Targeted Customer Browsing Analytics 3 Seamless Product History

4 Dynamic Product Recommendation

- User automatically buildsbrowsing history by scanning products

- Saved products are automatically broadcasted to friends’ feeds

- Users can view previously saved products

- Product history displays store / price information

- QR code generated for each product registered with the system

- QR codes contain pricing info as well (replace barcodes)

- Uploaded product image scanned for four dominant colors

- Colors used in recommendation algorithm

- Visualize customer browsing temporally

- Product-by-product views

- Data compliments purchase analytics

- Association Rules Mining Algorithm scans shopping history and suggests clothing types

- RGB value matching

2 Integrated Social & Buzz Marketing

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5 QR Code System

6 Product Color Scanning