In a dimly lit conference room on the outskirts of Birmingham, a retail operations manager stared at dashboards that updated too late. Stock levels had already dipped, margins were squeezed and the team scrambled to respond. This scene, repeated across the UK, captures the gap laid bare by fresh research from automation specialist UiPath.
The survey questioned 500 leaders in technology, data and ecommerce roles during June. It found that 97 percent of their organisations had brought in artificial intelligence in some shape or form. Yet nearly half of those using AI admitted they were still waiting for clear commercial returns.
Even more striking is the reactive posture. Some 69 percent of UK retailers said they only tackle operational issues once those problems have already damaged performance. This habit persists even as 81 percent expressed confidence they would hit their targets in the critical Golden Quarter trading period that runs from Black Friday through to Christmas.
Barriers that blunt agility
When asked what held them back during peak season, 43 percent pointed to delayed decision making. Close behind came poor data visibility at 42 percent. Inventory inaccuracies and legacy technology each troubled 35 percent of respondents. These are not abstract concerns. They translate into lost sales and eroded customer trust at the exact moment retailers can least afford it.
Stock visibility failures topped the list of likely causes of underperformance for 40 percent. Operational bottlenecks followed at 39 percent. Margin protection ranked as the biggest commercial risk for 26 percent. The pattern is clear: high adoption of fashionable technology has not yet translated into the practical discipline needed to act before trouble strikes.
With Black Friday and the Golden Quarter fast approaching, the retailers that perform best will be the ones with the visibility to spot issues early, the confidence to act quickly, and the orchestration to turn insight into action across pricing, inventory and operations. Too often, businesses blame supply chain disruption when the real problem is that they’re making decisions with incomplete or outdated information. AI-powered decision-making can make the difference between reacting to disruption and staying ahead of it.
Those are the words of Catherine Frame, director of retail solutions at UiPath, writing in the foreword to the report. Her assessment cuts through the hype that often surrounds artificial intelligence. Technology alone does not deliver advantage. What matters is how businesses choose to embed it, test it against real pressures and adapt their own processes around proven outcomes rather than external mandates or political pressure for rapid uptake.
