Achieving Operational Excellence with AI
The article explores how artificial intelligence is being used to improve operational efficiency in businesses, covering real-world applications in supply chain management, manufacturing, and logistics. It highlights key benefits such as reduced costs, faster decision-making, and predictive maintenance, while also noting challenges like data quality and workforce adaptation.
Background
- This is an MIT Technology Review article, a respected tech publication known for in-depth analysis.
- "Operational excellence" is a business concept focused on continuously improving processes, reducing waste, and increasing efficiency — not just cutting costs but building reliable operations.
- The article discusses companies moving beyond flashy AI demos and chatbots, instead embedding AI into core workflows like supply chains, manufacturing, logistics, and customer service.
- Key barrier: "AI pilot purgatory" — many firms run small experiments but fail to scale due to data silos, legacy systems, and unclear metrics.
- Why it matters: measurable operational gains shift AI narrative from hype to practical ROI, which matters for executives deciding where to invest.