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• Link the business strategy: Linking business data-powered insights, operations can better predict
priorities to investments with a transformation demand and cognitively source needed supplies.
road map – not IT stack improvements – helps drive • Embrace the metaverse: Delivering predictive
successful transformation across the enterprise. insights and fostering intelligence across supply
• An agile method: A complete digital chain networks will be compounded exponentially
transformation is a multi-year project, making with the introduction of the metaverse. Simulating
an iterative, agile approach the best method for real-world models with synthetic data, IoT device
success. With quick wins and a clearly defined data and more will prove to reduce development
strategy, organisations can minimise future losses times and risk, achieve higher operational efficiency
and demonstrate positive ROI. and improve resilience.
• Implementation and integration: An integrated,
holistic approach can address the opportunities and Where do we go from here?
constraints of all stakeholders, from procurement Supply chain transformation happens by unlocking
to sales. Data intelligence drives integration across the value of your analytics with processes, technology
once-siloed systems, with added workflows helping and experience. A lack of capabilities and a structured
turn insights into actions. approach are holding many companies back. In the
• A partner ecosystem: Participating in an end, transformation is not immediate; it’s rather a
ecosystem is crucial to mitigating risk. Supply chain proactive journey. In due time, harmonising analytics
mapping across stakeholders improves internal and can put organisations on a path to intelligent supply L O GI S T I CS NEWS
external collaboration to benefit customers and chain management and the ability to compete with
enhance end-to-end visibility. In conjunction with businesses that are setting the bar. •
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