An overview of the work regarding personalization and recommendations at Vente Privée. Betty Moreschini will detail the mechanism behind the catalog customization when you enter a specific sale.
Personalization and Recommendation Systems at Vente Privée by Betty Moreschini
1. Personalization and
Recommendation Systems at
vente-privee
Betty Moreschini
Software Engineer
@bettymoreschini
@vpTech #VPTech
@WiMLDS_Paris #WiMLDS
CFM - 28th June 2018
2. |-
Vente-privee
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Destocking from other brands
• 54 000 flash sales in 2017 (~150 per day)
• 7 000 brands
Present in 14 countries
• 72M users (21M in France)
• 2M unique visitors / day
3. |-
VP Tech
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500+ persons in IT department
↗273 in 2017
Diversity of technologies
• C#
• GoLang
• JavaScript
• Android
• iOS
• Haskell
• Ruby on Rails
• Python
• Kafka
• Elasticsearch
• RabbitMQ
• Node.js
• AWS
• Kubernetes
• …
We are hiring!
4. |-
Data Science at vente-privee
Intermediate purchase order
Automated articles classification from pictures
Customization
• Home Page
• Order Confirmation email
• Similar articles
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7. |-
Home Page Customization: Obstacles
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Business
• Conflicts between business and technology:
B2B rules in Home Page ordering
Technical
• Incomplete or incorrect classifications
8. |-
Home Page Customization: Impacts
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AB Test: 1 month, 6M users
Personnalisation with B2B rules
• Entry rate: +1.5%
• Conversion rate: +1.4%
Personnalisation without B2B rules
• Entry rate: +3.9%
• Conversion rate: +2.3%
15. |-
Member Aggregator
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User interacts with article
Member
Adult
Woman
Adult
Man
Kid Girl Kid Boy
Member1 41
Member2
Member3
Member1 Product1
42 +1
27. |-
What’s Next?
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Order Confirmation e-mail
Travel Customization
• Is this customer about to travel?
• Which destinations?