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2022 Logistics and Supply Chain Management Trends

EazyStock

The past few years have seen unprecedented supply chain challenges largely stemming from COVID-19 disruptions. Consequently, companies are becoming more focused on anticipating, reacting to, and planning for the unexpected through their supply chain strategies. Supply Chain Digitalization.

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Procurement Strategies for CFOs: Driving Cost Savings and Efficiency

Arkestro

You may face challenges such as choosing reliable suppliers, controlling costs, and managing orders. Research-backed procurement strategies can help CFOs achieve their goals while minimizing risk exposure across global supply chains. With 36% of leaders prioritizing AI implementation in finance [1].

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Top 5 Critical Skills Next-Gen Procurement Leaders Must Develop Now

Zycus Cognitive Procurement

As per a recent survey , 40% of board directors have moved digital business-related budgets from central technology and IT budgets to business functions. This is to enable greater autonomy and agility. . By 2025, customers will expect products that offer dynamic, proactive, and even prescriptive personalised experience.

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The future of application delivery starts with modernization

IBM Supply Chain Blog

IDC estimates that 750 million cloud native will be built by 2025. Access to new software innovation: Software has become the lifeline of all domains. Each organization is trying to excel by adopting modern innovative software practices—not just to grow , but to survive.

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Integrated Business Planning: A New Narrative for an Old Process

Supply Chain Trend

If we look back over the history of supply-chain planning, we can properly say we are in the third wave of integrated supply-chain planning software (Van Hove, 2019). To become autonomous, supply chains require the new technology of Wave 3 planning systems, which we think of as systems of intelligence.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Supply Chain Blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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