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  "documentTitle": "The Value Multiplier: Intelligent Operations Maturity",
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      "text": "Using machine learning to help pinpoint when, where and by whom spare parts will be needed has delivered a step change in demand forecasting, raising accuracy to 75% and processing warranty claims 40% faster.",
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      "text": "Nike is an innovator in shoe technology and sports science. While the primary purpose of Nike's apps is to optimize the customer experience, they also help Nike collect a treasure trove of customer data. For example, the Nike Fit app combines computer vision, data science, machine learning and artificial intelligence to cultivate a digital foot morphology based on 13 data points. Nike can use this data to design better fitting shoes and provide members with personalized product recommendations and content based on their real-world shopping behaviors. Further cementing Nike's commitment to data-centricity is its acquisition of two predictive analytics companies and its investments in data visualization tools to ensure insights are easily digestible.",
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      "text": "A telecoms manufacturer with a footprint in more than 90 countries asked Accenture to ensure its spare parts planning and warranty management were lean, flexible and intelligent. Accenture introduced a “warranty-as-a-service” solution to accelerate the processing of warranty claims end-to-end. The company acquired new abilities to forecast customer demand for spare handset parts and manage inventory more effectively. Using machine learning to help pinpoint when, where and by whom spare parts will be needed has delivered a step change in demand forecasting, raising accuracy to 75% and processing warranty claims 40% faster. It's helped streamline operations and enhance customer service, delivering US$10M annual savings.",
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