Building Resilient and Agile Supply Chains Leveraging Data, Analytics, and Automation

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Key Takeaways

⇨ Understand the shifts in the technological landscape and its impact on building resilient and agile supply chains leveraging data, analytics and automation.

⇨ Explore the requirements and success metrics used in implementing data, analytics and automation solutions, and the significance of cloud capabilities to organizations.

⇨ Learn how respondents are planning to succeed in their supply chain ambitions.

In 2024, supply chain professionals are constantly navigating a myriad of supply chain challenges, ranging from managing diverse product portfolios and predicting fluctuations in demand and supply to complying with regulatory shifts and mitigating geopolitical risks. Amidst these complexities, the enduring impact of the pandemic on the industry emphasizes the critical need for resilient and adaptable supply chains. This research explores how organizations are leveraging data, analytics and automation to build resilient and agile supply chains. While data, analytics and automation have been integral to supply chain management across industries for decades, the rapid advancement of artificial intelligence (AI) necessitates companies to reevaluate their approach and portfolio to establish a reliable single source of truth for supply chain data, enhancing visibility and enabling advanced analytics, all while maintaining accessibility and user-friendliness.

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