AI in retail: Turning promises into performance
I began my career in web design, sales, and consulting in the late 1990s, at the dawn of the internet age. What followed was not a sudden revolution, but a series of inflexion points that reshaped business and society.
The initial hype of the late ’90s gave way to the dot-com crash around 2000. By 2004, however, the internet’s impact was undeniable, and the arrival of the smartphone accelerated digital adoption at an unprecedented pace.
In those early years, many organisations struggled to approach digital strategically. In 2001, I worked with a major UK electrical retailer that recognised the need for an online presence. An e-commerce site was launched, but integration with fulfilment, stock systems, customer service, and back-office operations was overlooked; a common challenge at the time.
Over the next decade, the internet fundamentally reshaped both daily life and global commerce. Early adopters gained a significant advantage, while others were left behind. Iconic brands such as Blockbuster, Toys “R” Us, and Woolworths disappeared, and entire sectors, from banking to telecoms to travel, were disrupted.
Retail, in particular, underwent a profound transformation. Today, the most successful retailers operate more like technology companies. E-commerce has extended customer reach and provided deep insights into buying behaviour, with customer data and order history now regarded as core assets. Yet many UK retailers still struggle to fully harness this data. Omnichannel operations often maintain silos between in-store and online information, limiting personalisation and agility. These challenges stem from competing priorities, the complexity of new technologies, and intensifying global competition.
Now, artificial intelligence is driving a shift every bit as transformative as the internet boom 25 years ago. Familiar patterns are emerging. Organisations often adopt AI tactically, searching for problems the technology might solve rather than building cohesive strategies. Few have a unified AI roadmap, although forward-thinking businesses are embracing hybrid ‘build and buy’ approaches.
As AI capabilities accelerate, we can expect innovation and disruption on par with the dot-com era. In retail, the opportunity to unlock value from legacy, or as one client aptly described it, “heritage” data is immense. Better use of this data can increase conversion rates, enhance customer experiences, and optimise supply chains.
We will also see the rise of intelligent bots and avatars acting as digital sales agents, enriching customer support and generating richer insights. Hitachi, for example, is working with global distributor Sonpar to automate purchase order processing, reducing administrative overhead and driving efficiency.
The lessons of the internet era are clear: those who act early, strategically, and decisively will shape the future. AI is not simply another tool; it is the next great inflexion point.
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