Discover the latest AI advancements and how to leverage methods to improve customer service, marketing initiatives and the retail experience.

Join the conversation #reworkAI

Previous Speakers include

Original
Olivier Nguyen Quoc

Tech Lead, Senior Data Scientist

L’Oréal

Original
Nevena Francetic

Data Science Lead

Shopify

Original
Brian Ames

Senior Technical Program Manager - DeepBrew

Starbucks

Original
Hélio Pais

Data Science Manager

Trivago

Original
Vaibhav Verdhan

Principal Data Scientist

Johnson & Johnson

Original
Andrea Picchi

Head of Experience Design

River Island

Original
Sunanda Parthasarathy

Senior Director Data Science

CVS Health

Original
Mehdi Hosseini

Head of Data Science

Marks & Spencer

Original
Ed Snelson

Head of Applied Research

Thread.com

Original
Michael Michelis

Co-Founder & COO

Intelistyle

Original
Dirk Petzoldt

Head of Engineering & Data Science

Zalando

Original
Rafik Salama

Head of Data Science

REPL Group

Original
Kallirroi Dogani

Machine Learning Scientist

ASOS

Original
Errol Koolmeister

Head of AI Tech & Architecture

H&M

Original
Dave Romano-Critchley

Principal Engineer

Sainsbury’s Argos

Original
Sumanas Sarma

Machine Learning Engineer

Sainsbury’s Argos

Original
Víctor Morón Tejero

Lead Data Scientist

Nectar Loyalty

Original
Chris Hughes

Machine Learning Engineer

Marks & Spencer

Original
Sergio Paluch

Head of Product

WishYourPrice

Original
Adithya Hrushikesh

Principal Data Scientist & AI Lead

Vodafone

Original
Mostafizur Rahman

Technical Specialist, AI & Data Science

MTC - Manufacturing Technology Centre

Original
Nicholas Stapp

Enterprise Data Science & Innovation

The Hershey Company

Original
Andrea Polonioli

Product Marketing Director

Coveo

Original
Hugo Palmer

Data Scientist

Blablacar

Original
David Lopez Mateos

Chief Science Officer

Pace

Original
Alessio Dore

Senior Manager - Data Science Algorithms

Deliveroo

Original
Darragh Kelly

Data Scientist

Google

View all Speakers

New This Year

  1. Deep Dive sessions to facilitate interactive discussions, practical workshops, & technical labs
  2. Event App to meet fellow attendees and personalize your schedule
  3. Multiple tracks to encourage cross-industry learnings & collaboration
  4. In-depth interviews with speakers available to watch again online
  5. Facilitated networking opportunities to make new connections
Ticket icon

AI in Retail Summit

Register now

Topics we cover

Natural Language Understanding

AI Assistants

Computer Vision

Fraud Prevention

Image Analysis

Stock Level Optimisation

Personalised Shopping

Targeted Marketing

Manufacturing

Quality Control

Search Engine Optimisation

Personalised Ads

Smart Factories

Inventory Management

Customer Service

Customer Loyalty

Conversational Marketing

Conversational AI

Ad Targeting Tools

Developing Content Strategies

Buyer Profiling

Natural Language Understanding

AI Assistants

Computer Vision

Fraud Prevention

Image Analysis

Stock Level Optimisation

Personalised Shopping

Targeted Marketing

Manufacturing

Quality Control

Search Engine Optimisation

Personalised Ads

Smart Factories

Inventory Management

Customer Service

Customer Loyalty

Conversational Marketing

Conversational AI

Ad Targeting Tools

Developing Content Strategies

Buyer Profiling

Why Attend

Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

  • Speakers

    Extraordinary Speakers

    Down arrow white

    Discover advances in AI from the world's leading innovators in the retail sector. Speakers will share insights on recent progress in technological advancements and applications including computer vision, image analysis & personalisation.

  • Discover

    Discover Emerging Trends

    Down arrow white

    Learn about AI applications in retail from inventory forecasting to stock level optimisation to natural language processing for personalised shopping experiences to computer vision for sizing efficiency to algorithms for fraud detection.

  • Network

    Key Takeaways

    Down arrow white
    • 1) Discover best practices, integration methods, & key insights from industry leaders
    • 2) Learn about the latest technological advancements powering the retail industry
    • 3) Build strong connections over in-person networking, as well as with a global virtual community
  • Ticket

    Who Should Attend

    Down arrow white
    • Data Scientists
    • CTOs
    • Retail Analysts
    • Directors of Innovation
    • Advertising Executives
    • CEOs
    • Retail Operations
  • Join

    Join the discussion

    Down arrow white
    • 90 speakers
    • 500 leading data scientists & innovators
    • Keynote Presentations
    • Panel Discussions
    • Access to all the filmed presentations
    • Discover technology shaping the future
  • Download

    Downloads

    Down arrow white

    Coming soon!

Regular Attendees include:

American Express
Argos
Amazon
ebay
Vodafone
samsung
Travelers
Barclay Card
Royal Mail
Ocado
ASOS
Trivago
SkyScanner
john lewis
Sky
Walmart
UCL
Microsoft
Bosch
Dyson
University of Cambridge
spotify
Heineken
Wunderman Thompson
aviva
Deliveroo
H&M
Marks and Spencer
Domino's
Hugo Boss
Zalando
Nike

Summary

Jeff Clune, Team Lead at OpenAI

Play button

Presentation

Dawn Song, Professor of Computer Science at UC Berkeley

Play button

Interview

Shalini Ghosh, Director of AI Research at Samsung Research

Play button

What people say about RE•WORK/

Original

Event Organiser/

Katie Pollitt

Head of Events

Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!

Get your ticket

Regular Sponsors

Intel21.001
Unity.001
Tealium.001

Confirmed Exhibitors

Snacka.001

As Featured In

Original
Original
Original
Original
Original
Ticket icon

AI in Retail Summit

Register now
This website uses cookies to ensure you get the best experience. Learn more