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Artificial Intelligence in Logistics: Current Status & Opportunities

Logistics at MPEPS at UPV

In a study by INFORM and Logistik today , experts from various logistics disciplines see the most important areas of application for ML in demand forecasting and sales planning, transport optimization (e.g., through autonomous transport systems), and production optimization. Nevertheless, it is far from having arrived in the industry.

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Expert Insights on Predictive Analytics

Infosys Supply Chain Management

About The Expert Yuri Gogolitsyn is an experienced EAI Technical Architect and Consultant who has worked on numerous multinational projects and has substantial hands-on experience with many leading integration technologies with exposure to real-time assignments involving predictive analytics. It was a bit of a surprise!

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The Expert Talk Predictive Analytics

Infosys Supply Chain Management

About The Expert Yuri Gogolitsyn is an experienced EAI Technical Architect and Consultant who has worked on numerous multinational projects and has substantial hands-on experience with many leading integration technologies with exposure to real-time assignments involving predictive analytics. It was a bit of a surprise!

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Expert Insights on Predictive Analytics

Infosys Supply Chain Management

About The Expert Yuri Gogolitsyn is an experienced EAI Technical Architect and Consultant who has worked on numerous multinational projects and has substantial hands-on experience with many leading integration technologies with exposure to real-time assignments involving predictive analytics. It was a bit of a surprise!

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Supply Chain Management:'Asset' in Enterprise Asset Management

Infosys Supply Chain Management

Technology Services. Case Studies. |. We spoke with Rohit Choubey , Lead Consultant - ECS EAM and Rejeesh Gopalan , Consultant - ECS EAM to get their views on significance of Asset definition in EAM and how it can contribute to the emergence. Publishing Resources Industries. Business Services. Business Applications.

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Vendor Managed Inventory Model for Supply Chain Cost Reductions

GlobalTranz

Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed Inventory Model for Supply Chain Cost Reductions. The distributor is in total control of the timing and size of the order being placed.

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Supply Chain Management:Leveraging Social Media for Improving.

Infosys Supply Chain Management

Technology Services. Case Studies. |. For example, imagine if it was possible to predict the percentage of customers that were interested in buying a black colored Reebok T-shirt against a brown colored one or to predict the percentage of customers interested in buying a sportz model of a car versus an another model.