Technology Record - Issue 42: Autumn 2026

155 AI has been embedded into operations to enable retailers to continuously sense, decide and act across the value chain This is driving interest in operational intelligence platforms and digital world models that combine physical and digital signals into a common view of operations. The second capability is contextual reasoning and decision intelligence. Once organisations achieve visibility, the next challenge is determining the best course of action. Decision intelligence platforms are helping organisations move beyond reporting and analytics towards continuous evaluation of trade-offs across inventory, demand, service levels, sourcing and logistics constraints. In this model, AI does not simply explain what happened; it helps determine what should happen next. Third is adaptive execution. Traditional retailers and consumer goods organisations typically follow a plan-and-execute model. Frontier firms operate differently, continuously sensing, adjusting and responding as conditions change. Companies such as Pelico, Instalily and Duvo AI demonstrate how operational signals can be translated directly into action, enabling organisations to identify bottlenecks, anticipate disruptions and rebalance operations in real time. A fourth characteristic of frontier firms is their use of physical AI and autonomous operations – the convergence of AI, robotics, automation and world models. Historically, enterprise software stopped at the edge of physical operations. Today, advances in AI, robotics and automation are extending intelligence into warehouses, factories, fulfilment centres and logistics networks. Retail organisations are increasingly exploring how intelligent systems can understand their physical environment and coordinate activity across it. Companies such as Worlds and General Robotics offer an early glimpse of this future, where digital representations of the real world, AI reasoning and operational execution become increasingly interconnected. Finally, frontier firms are embracing demand-led innovation. Traditionally, market insights, merchandising, product development, sourcing and commercialisation operated as separate functions. AI is helping to connect these activities into a more continuous process. Companies such as i-Genie and Clootrack demonstrate how consumer signals, trend analysis and merchandising decisions can Photo: iStock/sanjeri

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