“AI” is a tech buzzword that seems to take on a new meaning each time you hear it. This causes confusion for many business leaders who struggle to put it into perspective for their specific needs. To drill down this concept into actionable items, we first need to demystify the AI concept, and not see it as a “black scary dark science” box, and more for what it is: just a very flexible tool.
We can divide AI into two main categories: AGI (Artificial General Intelligence) aka. Strong AI and ANI (Artificial Narrow Intelligence) aka. What does AI really mean? Weak AI. The good news is Supply Chain AI is Weak AI, so we can move our minds away from extremely sophisticated algorithms.
AI has been exhaustively talked about as the next big milestone in supply chain. But, to be fair, we have been using AI for some years now to a certain extent. “AI” is an umbrella term that realistically includes current service offerings of optimization. For example, today many software incorporate machine learning algorithms, such as the ones used for Forecasting, Production Planning, Inventory Management, etc.
Whitepaper 18 February 2021, Written by Xavier Farrés and Jordi Valls, Miebach Consulting
Today, supply chains are already considered by a large majority as essential tools for achieving business objectives, as they are elements that generate competitive advantages and provide differential values for companies. And as a...
Whitepaper 27 February 2020, Written by Kamel Klibi, Miebach Consulting
Digital Twin for dynamic adaptations and optimizations The complexity of logistics systems is a constant and ongoing challenge in supply chain management. Planning by means of simulation is an integrated approach to secure important...
Whitepaper 19 November 2020, Written by Isabel Morales, Xavier Farrés, Kamel Klibi y Alexander Klaas, Miebach Consulting
The new normal has brought about drastic changes in the supply chain: supply disruptions, different consumption patterns than usual, unexpected growth in e-commerce, pressure to respond more quickly to demand volatility, and last but not...