Front Line Optimisation
With nearly 2,000 stores and millions of daily shoppers, one of America’s leading retail chains faced a growing challenge—how to optimise frontline operations in real time. While rich in transactional data, the retailer lacked visibility into how customers moved through stores or when they would proceed to checkout. This led to reactive staffing decisions, long wait times during peak hours, and inconsistent customer experiences. Determined to elevate in-store operations, the retailer partnered with Decision Studio to turn customer behaviour into actionable insights.
Decision Studio began by installing tracking sensors across key stores to capture real-time customer movement. This allowed us to transform previously invisible shopping patterns into actionable data. We applied advanced analytics—using CHAID, regression models, and SVM—to identify behaviours that signalled when a shopper was likely to head to checkout. Key triggers included time spent in-store and the number of zones visited.
Insights revealed that 84% of shopping activity followed just 14% of paths, enabling us to accurately predict peak checkout times. With this intelligence, we empowered store teams to dynamically adjust staffing, ensuring checkout counters matched actual demand. This shift from guesswork to precision gave frontline teams the tools to act quickly—and confidently.
“84% of shopping activity followed just 14% of paths”
The Cart Path Tracking initiative transformed store operations from reactive to predictive, significantly improving efficiency. Real-time checkout forecasting reduced wait times, and smarter workforce deployment saved the retailer £307 million annually across 4,800 stores. Key results included a 50% reduction in average queue length, a 22% decrease in customer wait time at counters, and 88% accuracy in predicting customer department visits.
The retailer saw consistent, data-driven decision-making across all store formats, bringing uniformity and reliability to daily operations. Most importantly, customers felt the impact: the seamless flow of the shopping experience led to a notable increase in satisfaction. By embedding predictive intelligence into frontline operations, the retailer didn’t just optimize processes—they redefined how data could power smarter, faster decisions at every level of their business.
