Slides from a talk at Spree Conf 2014 on using Prediction.io to improve the customer experience and sales on ecommerce sites.

1. Spree Product
Recommendations
(No data scientists required!)
By David Jones
Resolve Digital - @d_jones

2. Amazon’s sales jumped
~29% after adding
recommendation features*
*“Amazon's recommendation secret” http://tech.fortune.cnn.com/2012/07/30/amazon-5/
David Jones, @d_jones

3. Product Recommendations
✓ Better user experience
✓ More pages viewed per visitor
✓ Higher conversion rate
✓ Higher average order size
✓ Win-win for customers and store owners
David Jones, @d_jones

4. The problem
⨯ Requires a solid understanding about
machine learning
⨯ You need a data scientist to run it
⨯ Out of reach for small/medium sized stores
David Jones, @d_jones

5. Prediction.IO
✓ Open Source
✓ Deploy yourself or instantly on Amazon’s
Cloud
✓ Cheap to run (starts at $0.06/hr)
✓ Developer friendly API
✓ Easy to use admin UI
David Jones, @d_jones

6. ratings
product views
orders
David Jones, @d_jones

7. David Jones, @d_jones
One important thing
• Existing data is key:
• Quality
• Quantity
• No existing data? Start logging data today,
add recommendations later.

8. Deploy Server

9. David Jones, @d_jones

10. David Jones, @d_jones

11. David Jones, @d_jones

12. Ruby SDK

13. Thank you
David Jones - @d_jones
resolvedigital.com
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