When: 17 February 2021, 10:00 - 13:30
Where: Zoom Webinar
Join us for this long standing event, for its first Virtual delivery where the subject of ‘Artificial Intelligence in Logistics' will be the key focus of discussion and presentations.
The Conference will host Speakers from Industry who have experience and understanding of how Technology shift and evolution impacts the Supply Chain.
Speakers: James Triggs, Chief Operating Officer, Brookes SCS, Amy Shortman, director of Product Marketing, Tom Hassall, Data Science Team Leader, Kevin Richardson – CILT (UK) CEO
James is the Chief Operating Officer of Brookes SCS (ToolsGroup’s UK partner, formerly known as ToolsGroup UK). With over 25 years of experience in supply-chain, he is overall responsible for the implementation, consulting and ongoing support of supply-chain solutions, including SaaS solutions hosted on Azure. Customers are as diverse as BP, Costa Express, NHS Blood & Transplant, O2, Aston-Martin, Harley-Davidson and Wiggle. Previous roles there have included Head of Sales and Pre-Sales Director. He is a Chartered Engineer. Prior to ToolsGroup he designed and implemented Electronics manufacturing and logistics systems for Sony, and held manufacturing management roles at LG and Panasonic.
Find details below about his presentation.
AI in the Supply Chain: Demand modeling for Inventory Optimisation, Application Lessons from Industry
The presentation will outline a broad outline of the types of Artificial Intelligence that can be deployed in a supply chain planning context. It will then explore how these approaches, used in combination with different stochastic techniques to improve forecast accuracy and refine understanding of inherent underlying variability patterns, can be used to optimise a stock level strategy to meet the highest customer service level requirements. The presentation will include case studies from ToolsGroup customers as diverse as Aston Martin, Danone and Lennox, to demonstrate how this innovative approach is already making an impact in the supply chain planning world.
Amy Shortman, FCILT
Amy is a Chartered Fellow of The Institute of Transport and Logistics and has 20 plus years’ experience within pharmaceutical logistics. During this time, she has worked within operations and commercial roles and is passionate about creating supply chains that ensure product integrity is maintained throughout.
Amy started her career in an operations role for a global specialist clinical trial logistics provider, then went on to establish the UK and Irish operation for one of the world’s leading active temperature control container organisations. She created brand awareness, as well as education to the healthcare and logistics industry, of the increasing need for improved compliance and cool chain management.
Amy has worked within the air, sea and road arena, and has extensive experience of setting up secure supply chains for high-value freight and temperature sensitive freight. Working for a top 3 global third-party logistics (3PL) provider in healthcare and life sciences, specialising in business development and key account management for global clients.
Her penultimate role before joining Overhaul Group, Inc. was with ASC Associates Ltd, which Amy established in 2011 as a global supply chain business services company that specialises in the areas of temperature-sensitive, high-value products. In 2019 Amy joined the Senior Management Team at Overhaul as their Director of Product marketing enabling her to utilise her practical experience of supply chains with her passion for the future and Industry 4.0.
Amy has also been facilitating and training for over 12 years and is an IATA external facilitator for CEIV Pharma.
Tom Hassall is a data science team leader at Peak, an AI company building a platform to drive efficiency, growth and profits in business. He transitioned to data science from an academic background 2 years ago. Before that, he completed a PhD in Astrophysics at the University of Manchester, a post-doc at the University of Southampton and worked as a research scientist for a small oil and gas service company for 3 years. Peak use a broad range of machine-learning techniques and work with customers from all sectors, on a range of different problems. Tom is currently working on several projects. Using machine learning to optimise warehouses for several big fashion retailers, plan logistics for a consumer goods company, and source suppliers for an industrial manufacturer.
Find details below about his presentation.
Using AI to address uncertainty in supply chain and inventory management
Getting the right amount of the product, to the right place, at the right time, is not always an easy thing to do. Supply chains can be complicated, and despite an ever increasing number of tools on the market, they remain difficult to model in a way that incorporates all necessary constraints. At the other end of the business, predicting the demand that a supply chain must support can also be challenging. Uncertainty in demand and supply results in decreased service levels, missed sales, and wasted resources. In this talk, I will discuss the impact of demand and supply uncertainty on a business, before talking through a few examples of where Peak has used AI to address these issues.
Kevin Richardson – CILT (UK) CEO
Kevin will manage the Panel led Q&A
For full details of the agenda click here.
The event will provide valuable opportunities for Students studying in related areas to hear about innovation and transformation, and will be of interest and benefit to a wider audience as well. Everyone is welcome to attend.
Reserve and book your place today to avoid missing the opportunity to attend this fantastic Conference.
Click 'Book now' online or email firstname.lastname@example.org quoting event code: LR0400
Note: If you are not a current Member of the Chartered Institute of Logistics and Transport, please be aware our membership team may be in touch with you using your email address provided regards membership opportunities. If you do not wish to be contacted please email and let us know at email@example.com