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041 End-to-End Supply Chain Visibility

Date post: 28-Oct-2021
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by Rabin Sahu, Machine Learning Engineer at Vekia Supply Chain Weekly Blast #041 : End-to-End Supply Chain Visibility Part 2 on Supply Chain Visibility (Part 1 – Weekly Blast N° 34) The Need Potential Impacts - Risk of disruption. - Increasing supply chain complexity. - Changing customer demand. - To improve operational efficiency. - Regulatory requirement. - Better customer access. - Improved forecast and reduction in raw material cost. - Improved asset utilization, service quality. - Higher responsiveness. Supply chain visibility (SCV) refers to knowing the position goods (inventory) in real time. In addition, it also covers the ability to predict various events across different entities of the supply chain. How to Improve Supply Chain Visibility? - Using AI to predict supply chain parameters. - Centralized and data driven planning and execution. - Use of supply chain digital twin. - Supply chain simulation with ANN. - Establishment of a control tower. - Use of IoT. Reduction in Forecast variability (5-10%) Improvement in service level (2-5%) Reduction in stock outs (18-20%) Inventory reduction (5-10%)
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Page 1: 041 End-to-End Supply Chain Visibility

by Rabin Sahu, Machine Learning Engineer at Vekia

Supply Chain Weekly Blast

#041 : End-to-End Supply Chain VisibilityPart 2 on Supply Chain Visibility (Part 1 – Weekly Blast N° 34)

The Need Potential Impacts- Risk of disruption.- Increasing supply chain complexity.- Changing customer demand.- To improve operational efficiency.- Regulatory requirement.

- Better customer access.- Improved forecast and reduction in raw material cost.- Improved asset utilization, service quality.- Higher responsiveness.

Supply chain visibility (SCV) refers to knowing the position goods (inventory) in real time. In addition, it also covers the ability to predict various events across different entities of the supply chain.

How to Improve Supply Chain Visibility?

- Using AI to predict supply chain parameters.- Centralized and data driven planning and execution.- Use of supply chain digital twin.

- Supply chain simulation with ANN.- Establishment of a control tower.- Use of IoT.

Reduction in Forecast variability

(5-10%)

Improvement in service level

(2-5%)

Reduction in stock outs

(18-20%)

Inventory reduction(5-10%)

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