How Shein industrialised the fashion value chain, and what every retailer can learn
Years ago Inditex revolutionised the fashion operating model. Store managers fed back daily on what was selling and what customers were asking for. Production sat close to home in Spain,…
The Data and Integration Layer
Part 3 of AI Transformation: From Ambition to Impact AI initiatives create value at scale when they operate inside the analytical and operational context of the business. Outside of it,…
How to build an AI use case portfolio: a practical framework
Part 2 of 4 — AI Transformation: From Ambition to Impact One of the questions I get most often is some version of: “What is the AI use case that…
Why AI initiatives fail
And why the explanation is organisational, not technical Enterprise AI is not failing because the models are weak. It is failing because most organisations are not designed to absorb, validate,…
How aligned AI investment builds compounding value.
Part 1 of 4 — AI Transformation: From Ambition to Impact AI investment usually starts with a burst of energy and a lot of separate budgets. A few years in,…
Agentic Commerce: A Practical Guide for Retailers
Agentic commerce is gaining traction as AI platforms position themselves to handle end-to-end shopping experiences. OpenAI’s recent commerce protocol launch makes the intent clear: these platforms want to own the…
Information is no longer a by-product.
In many cases, the information generated is more valuable than the transaction that produced it.
Yet most organisations still treat this information as exhaust: captured incidentally, stored unevenly, and rarely converted into reusable organisational knowledge.