When Duncan Angove joined Blue Yonder as CEO in late 2021, shortly after Panasonic's acquisition, the supply chain world was in chaos. COVID-19 had exposed what Angove described as an "emperor has no clothes" moment for supply chain managers and CEOs alike. Add in the Suez blockage, regional conflicts, and shifting industrial policy, and the case for rethinking how supply chains operate was strong.
As I noted in our coverage of Blue Yonder's ICON 2025 conference, Angove had a challenging task ahead of him: transforming not just Blue Yonder, but an entire industry's approach to supply chain technology. Angove argued that the industry and buyers needed to stop thinking about supply chain as a collection of point solutions (one WMS vendor here, a different TMS there, perhaps twelve different planning tools) and start thinking about it as an end-to-end platform that enables cross-functional collaboration and orchestration.
As Angove explains in the latest diginomica Executive Intelligence podcast:
The change management exercise was probably the biggest challenge that we had to implement this new strategy. First of all internally, and then secondly with the market at large... Inside Blue Yonder, people have perhaps been more siloed. The product manager for WMS only cares about WMS. So over the last four years, [we have been] transforming Blue Yonder to think more like a platform company - that these things should be designed to work together.
That transformation is now getting results. Blue Yonder, via its Panasonic owners, has invested $2.5 billion in R&D, and Angove reports seeing an inflection in how buyers are approaching the market - moving from purchasing individual point solutions to buying into the platform vision.
A pragmatic approach to AI
Angove’s perspective on AI is equally refreshing. While many vendors have rushed to announce agentic capabilities, Blue Yonder has taken a more measured approach. As Angove notes, supply chain demands precision - mistakes are expensive, and the consequences of AI hallucinations in operational environments can be severe.
Rather buying into the hype, Blue Yonder has focused on using AI to remove mundane, repetitive work and elevate the quality of what people do. Angove offers a an example from retail management:
That person is no longer spending time laboriously editing a planogram. They're now spending time collaborating with brands on how to grow the category, or how they secure more supplier funding for a promotion... It elevates the work that's being done because it takes the mundane away.
What should supply chain leaders be thinking about?
For CEOs and CIOs grappling with supply chain complexity, Angove makes the case for a purpose-built platform approach - one that includes a common data model, network connectivity to carriers and suppliers, and an understanding of real-world operational constraints. As he puts it, you need "decades of knowing how you apply intelligence to operations and actually extract value and bring your people with you."
And in true engineering fashion, Angove insists the work is never done. Citing a phrase from a book about China's engineering-led approach to development, he notes:
They are proud to call China a developing country. They will always be a developing country. What a fantastically humble engineering mindset. So, we're never done.
Make a coffee, press play, and hear Angove explain Blue Yonder's journey - and where supply chain technology goes from here.