1.
Ecommerce
&
MachineLearning
byDavidJones-TechnicalDirector-ResolveDigital

2.
GoogleSearch-Netflix
GmailSpamFilter-Siri
FraudDetection-Amazon

3.
Machinelearningisnotjustforthe
bigguys
anymore.

4.
MachineLearninginEcommerce
Emailmarketing
Cross-selling
Personalisedrecommendations
AbandonedCartEmails
LeadScoring

5.
—
1.CollectData
2.TrainModel
3.MakePredictions
—

6.
CollectData:
Purchases
ProductViews
Likes&Ratings
Wishlists

7.
Anydatathatlinks
customerstoproducts

8.
2.TrainModel

9.
—

10.
prediction.io
OpenSourceMachineLearningServer
EcommerceTemplates
APIforDevelopers
Productionready

11.
3.Makepredictions

12.
Realworldexample:
UnitedCellars

13.
16kproductviews
60korders
3kproductratings

14.
79000rowssmalldata(bybayareastandards)

15.
Withwine
tastepreferencesare
diverse

16.
1.PersonalisedProduct
Recommendations
2.SimilarProducts

17.
A/BTEST

18.
FilterPredictionsAvoidanythingthatlessensrelevance
Don’tshowoutofstockproducts

19.
Howdoyourcustomers’shop?
WithWinepeopleusuallypreferredorwhite

20.
A/BTestResults
45%longeraveragesession
22%increaseinconversionrate
37%increaseinaverageordersize

21.
71%MoreRevenue

22.
MachineLearning
Generatesrevenue
Butalso
Improvescustomers’experience

23.
3
Things
Learned

24.
1
Thehumantouch
isstillimportant

25.
2
prediction.io
isawesome

26.
3
Smalldata
canbeenough

27.
ThankYou
~
DavidJones,@d_jones
resolve.digital/ml