Seize The Latest Trends On Supply Chain

Here, Mr. Balpreet Singh gives an overview about some of the latest market trends and analysis of AI in Supply Chain Management. You will get great insights on Technology Maturity Curve, some numbers to understand the market size of supply chain and there is more to come in this set of technology of Supply Chain Management, so Stay Tuned!

Find our content exciting?

SUBSCRIBE NOW to get updates about new trends & videos!

1 Comment

Add a comment...

Palash Biswas

21-May-2021

Real life examples. This video contains in depth analysis of AI.

Hide Replies

About the Mentor

About the Mentor

Balpreet Singh

IT Leader & Assistant Vice President, Reliance Industries Ltd

He is a Supply Chain IT Expert and has delivered many Digital Business Transformations successfully.

We are here to help you

Browse through the most frequent questions

Will AI take over supply chain?

Yes, the potential for artificial intelligence (AI) to take over supply chain management is high. AI can already manage many aspects of the supply chain including forecasting demand, procuring goods, and managing inventory. In the future, AI will likely be able to handle more complex tasks such as route optimization and supplier management. While there are still few companies that have certain privacy issues, AI still has the potential to greatly improve efficiency and productivity.

What is the example of AI in supply chain management?

The biggest example of AI in supply chain management is warehouse automation. Cobots and other AI-enabled technologies are advancing warehouse management's effectiveness, productivity, and security.“Ocado“ is one of the top examples in the warehouse automation market. AI can also be used to Automate supply chain transportation as well. Autonomous truck technology are being heavily invested in by businesses like Amazon, Tusimple, and Nuro.

What are the disadvantages of AI in Supply chain management?

There are several potential disadvantages of AI in supply chain management.
- AI technology might be expensive sometimes and may require a significant initial investment.
- AI technology is complex and may require specialized skills and knowledge to implement and maintain.
- AI technology is constantly evolving and may become outdated quickly, requiring frequent updates and upgrades.

Which companies use AI in supply chain management?

Here are some companies that use AI in SCM :
SAP, Oracle, Epicor, Nexus, Infor , Covariant, HAVI, Coupa, LivePerson , Symbotic and Walmart.

What problems have AI experienced in logistics?

There are a few different types of problems that have been experienced with AI and logistics. One type of problem has to do with managing and routing vehicles, as there can be a lot of traffic and a lot of different variables to consider. Another type of problem has to do with managing inventory, as it can be difficult to keep track of all of the different products and materials that need to be shipped. AI has experienced several problems in logistics, including errors in calculating transit times, difficulty in handling multiple types of products, and lack of flexibility in routing etc.