The Conference for Machine Learning Innovation

Building Human-in-the-Loop Machine Learning Systems – Fashion 2.0

Session
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✓10 % Team Discount
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Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
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Join the ML Revolution!
Register until December 12:
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✓Raspberry Pi or C64 Mini for free
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
Tuesday, December 10 2019
15:30 - 16:15
Room:
Salon 1
Every day at Outfittery, hundreds of stylists use personalised styling systems to create personalised outfits for men all around Europe. They do so by talking to and understanding their customers’ needs, rather than a customer browsing an e-commerce catalogue.
These tools heavily rely on machine learning to perform things such as 
  • Personalisation: Will a customer like a particular type of clothing, will it fit them, do they identify with the brand?
  • Decision Support: Whats a good shirt to go with these shoes? Does this outfit make sense for the event the customer is about to attend? 
  • Logistics: Is this item in stock? Where in the world is it at the moment, will we have it in time to send it to the customer or should we replace it automatically?
  • Customer Support: Our stylists talk directly to the customers to understand their needs. Should we do something different based on the feedback they give us?
To make this possible, we have machine learning embedded everywhere to help our stylists make the right decisions and be more efficient. This requires unique data collection, tooling and innovation. In this talk, Steven will explain the various people, products, and system processes to bring this all together.

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

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