KEY FACT
AI
CASE STUDY
The resulting reports are then used to inform regulators or empower decisionmakers to respond effectively to supply chain disruption.
AI adoption in retail AI adoption is already adding value across a broad range of supply chain processes and sectors, including retail, electronics, agriculture and logistics.
In the consumer goods space, it is used to increase the accuracy of demand forecasting by integrating external data such as social media trends, weather patterns and events, into the company’ s system. This reduces excess inventory and ensures customer satisfaction remains high.
For example, retailers across the UK recently saw shoppers return to the high street spurred on by warm weather and seasonal events. With everything from Wimbledon and Beyoncé concerts to international cricket and football on offer, consumers headed to supermarkets, fashion outlets and fuel pumps to stock up, dress up and head out.
KEY FACT
55 % of leaders are looking to invest more in supply chain technology
Nike is giving its supply chain an AI upgrade, turning a global logistics puzzle into something far more streamlined, efficient and green. Using AI-powered predictive analytics, the company now forecasts demand with accuracy, pulling insights from past sales, market shifts, seasonal patterns and even factors like weather or economic changes.
The fitness fashion retailer’ s Chief Financial Officer Matt Friend explained the strategy
160 September 2025