Artificial intelligence is rapidly becoming a competitive necessity across retail. From personalised shopping experiences and demand forecasting to inventory optimisation and customer service automation, AI is changing how retailers operate and engage with customers.
Yet for many businesses, embracing AI presents a difficult challenge. Investing too slowly risks losing market share, while replacing ageing technology and integrating new systems demands significant time, money and expertise.
The result is a growing technology divide. Retailers with modern digital platforms are moving AI projects from pilot programmes into everyday operations.
Those still relying on legacy systems often struggle to unlock the same benefits because their technology was not designed to support today's data-driven applications. Industry research consistently identifies legacy infrastructure, fragmented data and skills shortages as among the biggest barriers to successful AI adoption.
At the same time, retailers continue to increase investment in AI to improve efficiency, customer experience and decision-making.

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