Schedule

08:30

REGISTRATION

09:15

WELCOME

DEEP LEARNING TRENDS & CUSTOMER INSIGHT

09:30

Ben Chamberlain

Ben Chamberlain, Asos

Using Deep Learning to Estimate Customer Life Time Value (CLTV) in E-commerce

10:00

Kumar Ujjwal

Kumar Ujjwal, Kohl's Department Stores

Deep Learning in Micro-Moment of Shopping

FORECASTING & RECOMMENDATIONS

10:25

Jan Gasthaus

Jan Gasthaus, Amazon

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

10:50

COFFEE

11:30

Rami Al-Salman

Rami Al-Salman, Trivago

Machine (Deep) Learning and Its Applications to Hotel Search Problems

11:55

Daniel Gebler

Daniel Gebler, Picnic

ML for Online Supermarkets - From Convenient to Smart Shopping

WAREHOUSE & STOCK OPTIMISATION

12:20

Calvin Seward

Calvin Seward, Zalando

Deep Learning For Retail Warehouse Operations

12:45

LUNCH

13:55

Pau Carré Cardona

Pau Carré Cardona, Gilt

Deep Learning for Product Faceting and Similarity

14:20

PANEL: How Will AI & Deep Learning Impact The Retail Experience?

Stuart Barker

Stuart Barker, John Lewis Partnership

Panelist

Henry Powell

Henry Powell, University of Warwick

Panelist

Kumar Ujjwal

Kumar Ujjwal, Kohl's Department Stores

Panelist

Hussein Kanji

Hussein Kanji, Hoxton Ventures

Moderator

15:05

COFFEE

COMPUTER VISION & IMAGE RECOGNITION

15:45

Miroslav Kobetski

Miroslav Kobetski, Volumental

3D Scanning & Product Recommendation

16:10

Susana Zoghbi

Susana Zoghbi, KU Leuven

Deep Learning for Fashion Attributes

16:35

Arnau Ramisa

Arnau Ramisa, Wide Eyes Technologies

Fashion Product Retrieval with Real World Images

17:00

CONVERSATION & DRINKS

*Please note the agenda is subject to change

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