Overview
Logistics operations already depend on software, but very few run on one clean, connected technology landscape.
Orders move through ERP, WMS and TMS platforms. Custom applications handle specific processes. Data sits in different places. Teams step in when systems do not quite meet in the middle, especially when exceptions appear.
That matters more as companies start looking seriously at AI.
An AI system can only work with the context it can access. If the information it needs is fragmented across several systems, if processes still depend heavily on manual handovers, or if operational logic lives in people's heads, the opportunity is very different from what an AI demo might suggest.
In this webinar, Roy Henkemans, Managing Director Digital at NewCold, joins Qubiz for a practical conversation about what it takes to make AI useful inside a real logistics environment.
What happens before AI becomes useful?
For most logistics companies, the starting point is the technology they already have.
That may include WMS, TMS, ERP, planning platforms, customer systems, custom software and years of integrations built around the business.
The question is how well those systems provide the information and context needed to support automation.
We'll discuss where integration becomes critical, when modernisation starts to matter, and how companies can build on their existing technology rather than assuming everything needs to be replaced.
Inside NewCold's technology landscape
NewCold operates highly automated cold-chain facilities across an international network, with technology deeply embedded in the way its logistics operation works.
Roy will bring the NewCold perspective to the discussion, including what happens as systems, dependencies and operational complexity grow.
We'll talk about visibility, integration, scaling technology and the decisions that sit behind an increasingly automated environment.
Where does AI fit?
Qubiz will bring the AI and engineering perspective into the conversation.
We'll look at the kinds of logistics processes where AI can already support teams, where it can help deal with exceptions or gather context across systems, and what has to be true before it can safely take on more responsibility.
We'll also discuss the point at which AI moves from providing information to recommending an action, and eventually to taking that action itself.
Questions we'll put on the table
- Can AI work with the WMS, TMS and ERP environment you already have?
- Which logistics processes are realistic candidates for automation today?
- How much integration is needed before AI can become useful?
- When does legacy software start limiting what you can automate?
- How do you decide whether a use case is worth the investment?
- How much autonomy should you give an AI system inside a live logistics operation?
- What happens when an exception matters more than the standard process?
Why Qubiz is part of the conversation
Qubiz builds and modernises enterprise software for organisations with complex operations.
Our work includes system integration, legacy modernisation, data, automation and AI, as well as enterprise technology developed for NewCold.
That gives us a practical view of the engineering behind connected operations: how existing systems behave, where complexity tends to build up, and what needs to work before more of a process can be automated.
Agenda
- 5 min
The technology challenges shaping logistics in 2026
A short look at the operational pressures behind current technology decisions.
- 12 min
Lessons from NewCold
Roy Henkemans on system complexity, visibility and scaling technology in a highly automated logistics environment.
- 13 min
From connected systems to AI-enabled operations
NewCold and Qubiz discuss integration, data, workflows and where AI starts to become practical.
- 10 min
Where would you invest first?
A discussion around real use cases, priorities and the business case behind automation.
- 5 min
Open Q&A
Bring a process, technology challenge or automation idea from your own operation.
Who should join?
This session is designed for people responsible for technology, operations and digital change in logistics, including CIOs, CTOs, IT Directors, COOs, Operations Directors, Supply Chain Directors and transformation leaders.
The discussion will be relevant across warehousing, cold chain, transport, freight forwarding and 3PL.
Bring one process that still feels harder than it should
It may involve several systems. It may still need a spreadsheet. It may depend on someone knowing exactly what to do when something goes wrong.
Bring it to the session.
We'll use those kinds of situations to discuss where automation makes sense, where AI could help, and what needs to happen before it can become part of the operation.
Save your seat
Wednesday, October 14 · 10:30am EEST · 45 minutes on Microsoft Teams. Free to attend.