The adoption of machine learning in enterprise technology is becoming the next arms-race for many vendors. Supply Chain Planning technology is currently experiencing a major step-change in its evolution. The point of no-return has been reached.

This is an exciting time with major benefits to be realized. Many companies sitting on a gold mine of data are set to realize its value. The only bad machine learning plan is no plan at all. Machine learning is a crucial part of a comprehensive digital transformation strategy.

One does not need to look far to find confirmation that supply chains are changing dramatically. At the present time we observe three forces of change in global supply chains: consumer-driven forces, geopolitical changes, and technology and the digitalization of supply chains.

Agile supply chains exist almost as the antithesis of efficient supply chains. Agility requires the ability to detect, analyse and execute the best possible business decision regardless of traditional sources of supply and demand.

A complex product line and the demands of e-commerce were among the factors that drove Levi Strauss to embrace the concept of sales and operations execution. 

How can a specialty manufacturer in a niche market widen its universe of potential buyers?

The ways in which a commercial truck can be configured for leasing seem limitless. So how can the lessor boil down this complexity into a coherent offering to the customer?