Example: A retail chain uses Pattern Recognition to process customer data, including browsing history, purchase records, and demographic information. By clustering customers with similar behaviours, such as frequent buyers of seasonal items or high spenders on luxury goods, the retailer tailors personalised promotions and recommendations. This approach not only boosts sales but also fosters stronger customer loyalty through a more engaging shopping experience.