Remove Data Management Remove Inventory Remove Metrics Remove Supply Chain Planning
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7 Ways AI Can Impact Your Supply Chain and Logistics Operations

Stord

Love it or fear it, Artificial Intelligence appears to be the new normal in everything, including supply chain and logistics operations. From improved customer experience to greater inventory planning and forecasting, AI promises to make all of our lives easier and reduce those all-too-common supply chain headaches.

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Conquering the Explosion of Supply Chain Planning Data

Logility

However, to capture these benefits requires the right people, process and technology capabilities to extract the insights within the data. This article will discuss the opportunity generated from the explosion of supply chain planning data and the necessity for digital supply chain transformation.

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Supply Chain Metrics - Gaining Visibility in a Data-rich World

Logility

The second part of Drucker’s quote, “if you can't measure it, you can't improve it,” really brings home the importance of having the right set of metrics. In the field of supply chain management, we have created an abundance of metrics and key performance indicators (KPIs).

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Supply chain challenges stemming from the pandemic and other global events continue to plague manufacturing and distribution companies. While beneficial, this also brings added complexity to the supply chain in a number of ways. Drive actionable insights across multiple business processes.

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How Can Life Sciences Supply Chains Navigate a Disrupted World?

Logility

Therefore, superior management of the life sciences supply chain is essential for many reasons, including: Quality control On-time shipments Operational consistency Customer satisfaction. Optimizing Critical Supply Chain Functions. It also reduces carbon dioxide emissions by about 100,000 metric tons.”.

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The Intelligent IBP Manifesto – key principles for a new planning paradigm

Supply Chain Trend

However, only 3% of companies apply automated execution and 7% autonomous end to end planning. 2% of managers apply best practice decision methods. Hardly a recipe for improving planning & decision making. We will decide and response faster in our supply chain and make higher quality operational and strategic decisions.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes? My question is, “Why?”