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.
Amazon warehouse workers in Minnesota plan to strike during the online retailer’s summer sales extravaganza, a sign that labor unrest persists even after the company committed to paying all employees at least $15 an hour last year.
Over the past two decades, China’s Huawei Technologies has come to dominate the global telecom equipment market, winning contracts with a mix of sophisticated technology and attractive prices. Now, with Huawei at the center of a U.S.-China trade war, the tide is turning.
Challenge: A company that offers 65,000 products in more than 40,000 stores across 100 countries was seeking more transparency in its supply chain. A recent promotion involved seven stock keeping unit numbers of new products — packaged in 196,000 cartons — which were to be shipped in over 150 ocean containers. The company wanted increased visibility and streamlined communication for a competitive, consistent price.