Field notes from years of trying things.
As the retail industry gathers again to share its latest thinking and technology at the NRF Big Show, it seemed a good time to reflect on what I have learned about retail innovation from a long association with the industry. I got my first job in a retail store more than forty years ago and have spent most of my career since as an operator, a supplier or a consultant to retail businesses. The ability to change has always mattered in retail, but as the pace of digital transformation and globalisation has picked up, it has become imperative not just for success but for survival. For the last eight years I have been in the thick of it as retail industry lead for Australia's largest telco, trying to make sense of the changing world of retail for the company itself and for our many retail customers.
It would be fair to say that very few retailers now fail to recognise the need to change. It would be equally fair to say that the number of established retailers who have been able to execute programs of transformative innovation, in the way Nike, Walmart and Starbucks have, is low.
First, a few parameters. When I say innovation, I mean transformative change. It does not necessarily mean new-to-the-world initiatives, but it does need to represent a significant change for your business. New-to-the-world innovation of the kind seen at b8ta, Brandless and BingoBox is rare in retail and has always been most common in start-ups. What follows is not directed at start-ups but at established retailers looking to adapt to the world changing around them. Here are thirteen observations.
These thirteen observations became the spine of Retail Innovation Reframed, and the last six of them became the six stages of ReFRAME. Reading them now, the one I would underline is number seven: innovation is a chain, and it breaks at its weakest link. What we have learned since is that the weakest link is rarely the technology and rarely the idea. It is usually one of two foundations the chain sits on. Is the purpose clear enough to filter against (that is number four, and it became CLEAR)? And are the people ready to trust the change and be trusted with it? That second question did not have its own line in 2019. It has its own model now, because AI made the human side of readiness too large to leave implied.
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