Supplier Risk Management
From use case: Supplier Risk Management
Computer maker Lenovo is one example of how predictive analytics can improve operational resilience. The company uses AI models to estimate the likelihood of late deliveries and allocate production resources accordingly.
In the retail sector, one major chain implemented an AI-powered supplier forecasting system that cut stockouts by 30% and reduced overstock by 20%, demonstrating measurable ROI from predictive supplier management. Samsung Electronics implemented an AI-based supplier selection platform that halved selection times while improving supplier quality through ensemble learning models evaluating 75 performance parameters.
More companies are investing in AI to mitigate supply chain risk. Allied Market Research has predicted the market for this technology will grow from $2.9 billion to $6.9 billion by 2031, a CAGR of 9.2% from 2022 to 2031.