Agentic AI in the supply chain

How organisations can use agentic AI to enhance retail customer experience across delivery and fulfilment

 

Retail is undergoing a profound transformation, driven by the rise of agentic AI - intelligent systems capable of autonomous decision-making in complex, dynamic environments, while collaborating with humans where judgment still matters most.

 

When customer expectations are higher than ever, delivery has become a critical differentiator for retailers. In Europe alone:

• 85 per cent of online shoppers say a poor delivery experience would prevent them from ordering from the same retailer again
• 93 per cent say delivery options offered at checkout influence where they choose to shop online
• Up to 90 per cent of online shoppers have abandoned purchases when delivery timing or location didn’t meet their needs

These expectations place immense pressure on retail supply chains to deliver with speed, reliability, and flexibility.

 

Acting as an autonomous decision systems, agentic AI can orchestrate complex operations - anticipating demand surges, dynamically allocating capacity, responding to disruptions in real time, and learning continuously from execution on the ground.

By reducing missed promises, late deliveries and avoidable exceptions, agentic AI can smooth the customer journey from purchase to delivery, protecting customer trust and increasing lifetime value. At the same time, it offloads routine decisions, allowing humans to focus on exceptions and edge cases where judgment and context matter most.

The journey, however, is not without challenges. Success depends on high-quality, integrated data and a culture that embraces a hybrid human-AI workforce. Organisations must balance innovation with risk management, addressing trust and transparency, and operational constraints.

 

For retailers in 2026, the question is no longer whether to adopt agentic AI, but how to do so effectively, so as to stay competitive in an increasingly intelligent marketplace.

 

Join us to network with your peers and gain practical insights into the ways that agentic AI can be used to enhance customer experience in the retail sector across delivery, fulfillment and last-mile operations. This is an exclusive event and seat numbers are very limited, so apply for your place now.

 

The topics we will explore

 

During the meeting, we will focus on questions such as:

• What are the opportunities for using agentic AI in retail supply chain operations?
• How can retailers set appropriate goals for the use of AI in their supply chains?
• Why do obstacles arise when organisations try to implement AI-powered tools and how can they be overcome?
• How can organisations build appropriate processes to ensure quality and security when using AI-powered tools?
• What part do people play in hybrid human-AI workforces and why is it important to have a “human in the loop”?

Who is invited?

 

This sponsored dinner is designed for senior supply chain decision makers across retail who wish to discuss agentic AI and retail customer experience. Delegates will be employed as supply chain and technology decision makers in large (revenues of $500 million+) organisations across the retail sector.

 

The discussion over dinner is brought to you by Locus and is only for senior executives, as mentioned above. Registrations of junior professionals, consultants, solution providers or other sellers to this market won’t be accepted. To be eligible, you must be employed by a corporate legal entity such as a private company; if you are a sole trader or in a partnership other than a legally incorporated partnership, we will be unable to offer you a place.

 

This event is free of charge to attend.

 

Be one of 15 senior logistics, operations and IT professionals attending this event at the House of Lords in central London. For any enquiries, please contact Mergim Begolli on 020 8349 6458 or email m.begolli@business-reporter.co.uk.

 

When you register, we will ask you for your corporate email address, which we will share only with the event sponsor(s). See our privacy policy.