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Omnichannel Futures Conference 2020
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Last Years' Programme


08:30 REGISTRATION & NETWORKING

 

09:10 Chair's welcome

Natalia Konstantinova, Lead Software Engineer R&D, Shell Energy Retail

 

09:20 Retail Case Study: Realising bottom line revenue gains from AI

  • How using AI to run PPC has increased revenue by 30% at Domino's
  • Impact of AI and predictive analysis on customer engagement and the ability to upsell to existing customers
  • Future plans - what near-term opportunities Domino's sees in the AI space
  • Which AI tools are Domino's looking to invest in?

Karl Boyce, Head of Digital & CRM, Domino's Pizza Group

 

09:40 Panel Debate: Building a data platform to underpin your AI and ML strategy

  • Understanding the importance and role of building a robust infrastructure
  • Does it matter where to store your data
  • Guaranteeing data quality - updating or removing inaccurate, incomplete, improperly formatted or duplicated data
  • Ensuring your networking infrastructure, storage capacity, data analytics and security platforms are aligned with your AI aspirations
  • Building data protection requirements in to the AI/ML strategy to ensure compliance with privacy legislation

Moderator:

Christina Leo, Cloud Solution Architect, Microsoft

Panelists:

Orlando Machado, Chief Data Scientist, Aviva Quantum

Mark Terry, Tech Lead Data Platform, Holiday Extras

Dr Milos Milojevic, Consultant Future of Technology, Capgemini

Andrew Fowkes, Head of Retail Centre of Excellence, SAS UK & Ireland

 

10:20 Expert Opinion: Mind-opening innovations from other markets

  • How AI innovations are already benefiting companies outside the retail sector
  • What customers feel about AI - concerns, likes, trends and changing behaviour
  • How marketing, digital, data and IT are working together to do more in the space

Dr Geraint Evans, former CMO, Odeon Cinemas Group

 

10:40 NETWORKING BREAK

 

11:20 Retail Case Study: De-risking data science

  • Enabling informed decisions about the investment of time and resources in AI
  • Identifying and demonstrating the value of AI products at an early stage
  • How data science teams can pitch projects to the business and gain executive buy-in
  • Integrating data science with overall marketing strategy

Nick Masca, Data Scientist, Skyscanner

 

11:40 Retailer Fireside Chat: Building out your technical AI capability

  • Understanding the supplier base and the services offered by potential partners
  • Accurately estimating costs, and optimising cost efficiencies on an on-going basis
  • Understanding how customisable AI technologies can be
  • Building vs. buying vs renting your AI capability
  • Knowing which AI and ML technologies may not work for a retail business
  • Integrating AI and ML into your existing systems

Moderator:

Mark Venables, Journalist, Editor & Broadcaster

Panelists:

Natalia Konstantinova, Lead Software Engineer R&D, Shell Energy Retail

Rebecca Vickery, Data Scientist, Holiday Extras

Kevin Crain, Director, EMEA Technology Marketing, Intel Corporation

Christina Leo, Cloud Solution Architect, Microsoft

 

12:20 Expert Opinion: AI in contact centres - the goldmines and the minefields

  • The time is now - the challenge facing CX leaders
  • TTEC is 'practicing what we preach'
  • The digital worker factory - automation with proven results
  • Case studies beyond the hype - the reasons for success and failure
  • RPA and journey orchestration - optimising, personalising and setting a course for the future

Wayne Kay, Regional Vice President of Sales EMEA, TTEC

 

12:50 NETWORKING LUNCH

 

14:00 Retail Case Study: Edward™ the virtual host - AI powered customer journey for higher conversion rates and happier customers

  • How Edwardian Hotels London have enabled their guests to interact with an AI chatbot pre, during, and post stay
  • How AI has enabled Edwardian Hotels London to get to know guests better and anticipate their needs
  • How does Edward™ advise guests in their buying decision making?
  • How does Edward™ assist guests - acting as their own personal assistant and advisor
  • Discover how AI contributes to increases in revenues, customer and employee engagement - what is the impact?
  • How does Edward™ enable employees to spend more time serving their guests

Michael Mrini, Director of Information Technology, Edwardian Hotels London

 

14:30 Retailer Panel: Experiences and plans of early-stage AI adopters

This panel will highlight the projects of retailers, as they take their first steps into the world of AI and machine learning - hear their successes, their struggles, and their future plans.

Moderator:

Eugene Fisher, Strategy Architect, River Island

Panelists:

Chris McGrath, TCS Product Manager, Retail IT - Customer Engagement Hub, Marks & Spencer

Rob Wood, Head of Online & Digital, The Entertainer

Christina Garratt, Partner & Automation Programme Lead, John Lewis

Dr Heather Walker, Data Scientist, Wiggle

 

15:00 NETWORKING BREAK

 

15:30 Expert Opinion: AI for inventory and stock optimisation

  • Leveraging state-of-the-art data mining, machine learning and neural network techniques to optimise operational processes
  • How AI ensure that articles are never out-of-stock on the sales floor
  • Improving replenishment processes by calculating smart picking lists
  • How 'Smart Fitting Rooms' bridge the gap between eCommerce and retail stores
  • Using big data to improve customer recommendations

Simon Walk, Senior Data Scientist, Detego

 

16:00 Retail Case Study: Personalised customer service that's both digital and human

  • Overview of the challenges faced by M&S
  • How Google's contact centre AI solutions provide improved operational efficiency and more personalised, intuitive customer case from the first “Hello”
  • Bottom-line results realised by M&S

Chris McGrath, TCS Product Manager, Retail IT - Customer Engagement Hub, Marks & Spencer

Florin Stingaciu, Retail Customer Engineer, Google

 

16:30pm Retailer Panel: What does the retail sector need to do to maximise the potential of AI?

  • Redesigning your entire infrastructure around data
  • Identifying the applications that drive value for the business
  • Overcoming the leadership team who are steeped in traditional retail
  • Distilling the hype around AI into meaningful language

Moderator:

Mark Venables, Journalist, Editor & Broadcaster

Panelists:

Megi Hoxha, Data, Analytics & AI Team Leader, Levi Strauss

Shaid Latif, Retail Industry Value Advisor, SAP

Tom Leggett, Head of Intelligent Automation, Reply UK

 

17:10 Chair's summary and close of summit

Venue & Contact


VENUE
Hallam Conference Center, 44 Hallam Street, London W1W 6JJ

0207 637 5526 or 0207 631 2055

DATE
14 October 2020

CONTACT
For retail speaker opportunities:

Mark Venables
E: Mark.Venables@theretailbulletin.com
T: 01276 489626

For sponsorship and non retailer speaker opportunities:

Karen Howard
T: 01276 489626 M:07725414385
E: karen.howard@theretailbulletin.com

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RETAIL EVENTS

Omnichannel Futures Conference 2020
Omnichannel Futures Conference 2020
5 February 2020
Cavendish Conference Centre, 22 Duchess Mews, London W1G 9DT
A truly omnichannel offering requires an understanding of customer behaviour across all shopping channels and how this should impact your overall business strategy
Online Conversion Summit 2020
Online Conversion Summit 2020
April 30 2020
The Hallam Conference Centre, London W1W 6JJ
The Retail Bulletin Online Conversion Summit 2020 Partnered by IMRG
Future of Retail Marketing 2020
Future of Retail Marketing 2020
9 June 2020
Hallam Conference Centre, 44 Hallam St, London W1W 6JJ
The Future of Retail Marketing for Customer Engagement
The HR Summit 2020
The HR Summit 2020
1 October 2020
Hallam Conference Centre, London W1W 6JJ
Company values, collaboration with employees and driving a major HR transformation to create a truly omnichannel experience, need to be at the heart of the organisation's culture and brand
AI in Retail Conference 2020
AI in Retail Conference 2020
14 October 2020
Hallam Conference Center, 44 Hallam Street, London W1W 6JJ
CONFERENCE AIMED AT RETAILERS WORKING IN MARKETING, IT, DIGITAL, DATA AND TECHNOLOGY