Prof. Dr. Eng.

Massimo Merlino

Chairman of Nanto Protective Coating from 2008, Management Consultant, in Strategy, Change Management and Supply Chain.
University Professor at Managerial Engineering 1987-2023
More than 120 papers to national and international reviews and congresses, and author of 17 management books.
Founder and Director of Logistica Management (400 editorials) review from January 1982 to December 2016. In this site you can read his opinions in Geopolitics, Economy, Management, Culture written in English, after 35 years of unuseful Italian articles.



Massimo Merlino - Professor, Consultant, Entrepreneur.
AI can play a vital role in Supply Chain Management

It can help improve efficiency, accuracy, and decision-making within the supply chain processes. Here are a few ways AI can be utilized in Supply Chain Management:

1. Demand Forecasting: AI algorithms can analyze historical data, market trends, and external factors to provide more accurate demand forecasts. This helps organizations optimize inventory levels, reduce stockouts, and make more informed production and procurement decisions.
2. Inventory Management: AI can optimize inventory levels by using real-time data analysis to predict demand patterns, lead times, and supply constraints. This helps ensure the right amount of inventory is maintained, minimizing holding costs and reducing the risk of stockouts or overstocking.
3. Logistics and Route Optimization: AI algorithms can optimize delivery routes and schedules based on various factors such as real-time traffic conditions, weather, and order volumes. This helps reduce transportation costs, improve delivery times, and enhance overall supply chain efficiency.
4. Supplier Management: AI can help analyze supplier performance data, evaluate historical and real-time metrics, and assess risks associated with suppliers. This enables organizations to make better-informed sourcing and supplier management decisions.
5. Quality Control: AI can be used for real-time monitoring of production processes and quality control inspections. Using computer vision and machine learning techniques, AI systems can identify defects or anomalies in products, allowing organizations to take corrective actions promptly.

Overall, AI can automate and optimize various aspects of Supply Chain Management, leading to cost savings, improved customer service, and enhanced operational efficiency.

Is there something specific you would like to know about AI and Supply Chain Management?

by ChatGPT

The Augmented
Supply Chain


Supply Chain processes must augment and change with massive injection of new technologies, robotics, artificial intelligence, big data approach, and contemporarily become more sustainable, considering the growing environmental challenges.

This paper explores the main technological changes and the most advanced cases in sustainable Supply Chain.

From Materials Handling to Production and Distribution, big data and robotics will change conditions and push further efficiency and customer service levels. After a general overview of the present and future trends in these areas, some practical case and experiences will be quoted.


Supply Chain of today and tomorrow is not only impacted from augmented reality in materials handling and other components, but empowered from the entire new generation of technologies, from robotics to Artificial Intelligence, to Big Data, which on the basis of algorithmic process of all the available information, produce decisions, govern automation devices, do forecasting and planning. Europe digest slowly the past ICT generation, USA develop a disruptive wave of combined utilization of Internet of things, supercomputer, interconnection.

Mathematical models which 50 years ago where managed by few operation research analyst are at the root of […]

Prof. Ing. Massimo Merlino – Professor, Consultant, Entrepreneur