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Net-Zero Commitments Are Reshaping Carbon Tracking in CPG Supply Chains

Supply Chain Brain

AI can integrate with procurement platforms, utility meters, logistics trackers and internet of things sensors to gather real-time data. Artificial intelligence-driven platforms are transforming carbon accounting by automating data collection and analysis. AI also provides visibility into emissions across the supply chain.

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Importance of Digitalisation to Improve Supply Chains: Helping Businesses Navigate Through Supply Chain Disruptions

The Logistics & Supply Chain Management Society

Applying innovation to supply chains, combines innovative technologies like the Internet of Things (IoT), analytics, and robotics to supply chain management to improve performance and meet customer demands. Internet of Things (IoT). As Industry 4.0 Industry 4.0 Cyber Security and Risk.

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Building a Triple A Supply Chain: Ten Tactics That Work

Supply Chain Shaman

The advancements in analytics–open-source, cloud, internet-of-things (IOT), and cognitive computing–are very promising. Successful network design strategies are holistic crossing the boundaries of source, make and deliver. Maturity in Analytics. It requires the building of an analytics framework.

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Throwing Down the Gauntlet

Supply Chain Shaman

So, as we think about the drivers for the tipping points—and the coalescence of new forms of analytics with big data systems, 3D printing, and the Internet of Things—there is a need in this value network to quickly to automate the supply chain moments of truth. It needs to be multi-tier and many-to-many.

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Three Cool Technologies

Supply Chain Shaman

I like Lokad’s use of machine learning using open source database techniques (think about attribute-based machine modeling in a modified Apache Spark-like architecture.) The company uses Internet of Things (IOT), blockchain, open source data base techniques and machine learning to track patterns and trace products.

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Demand Planning Apps Top Supply Chain Planning Machine Learning

ToolsGroup

Source: Gartner 2018. Our first Gartner machine learning customer case study appeared five years ago. They added, “As more industrial Internet of Things (IoT) rolls out across factories, more supply-side data becomes available, which should encourage more supply planning machine learning use cases.”

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Do No Harm…

Supply Chain Shaman

These tools allow us to look at sell, source, make, and deliver together. Along the way, I will be doing more work on network design case studies. Companies participating in the planning study will be able to benchmark the number of planners needed by supply chain complexity and better evaluate the rate of implementation.