What is Digital Transformation? A digital transformation requires that companies transform their decision-making processes with technology to enhance customer experience and employee productivity and ultimately improve business performance. Technologies such as artificial intelligence, machine learning, Internet of Things, and virtual reality can aid in this transformation. Digital transformation implies shifting the way organizations interact with their customers and the way they make business decisions. In the Supply Chain Planning context, these include decisions about which […]
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Archive for Supply Chain Planning
Satellite imagery data represents another data set that may have the potential to improve company’s supply chains. There are potential uses surrounding procurement, sustainability, and strategic planning.
Read More →I talked to a large ecommerce retailer. They got great benefits from implementing a supply chain planning solution. But their plans to leverage AI are what is truly fascinating.
Read More →New solutions have emerged that bridge the gap between supply chain planning and execution. These solutions have a middleware layer that is critical. The middleware allows for a feedback loop that can allow the system to get smarter.
Read More →The idea behind supply chain segmentation is that not all customers or consumers should be served with a one size fits all supply chain. Clorox has shown that implementing this strategy can drive great value. But it is not easy.
Read More →Mike Reibsamen – the Director of Integrated Supply Chain – at Berry Global, spoke about Berry Global’s supply chain transformation at the Council of Supply Chain Management Professionals (CSCMP) annual conference in early October. Mr. Reibsamen’s primary point was that companies will get much better payback from their supply chain projects if they don’t do them in an ad hoc manner. A company should have a comprehensive end-to-end vision of what they want to accomplish, […]
Read More →Halloween is a mere two weeks away, and the shopping season is in full swing. And by “in full swing,” I mean that consumers are spending big bucks on all the Halloween essentials. According to the National Retail Federation’s (NRF) annual survey conducted by Prosper Insights & Analytics, Halloween spending is expected to exceed $9 billion. With more than 175 million people planning on celebrating the holiday this year, that equates to an average spend […]
Read More →Demand modeling has emerged as a key decisioning tool in supply chain design. Standard forecasting tools can fall short if they can’t take into consideration external causal factors that drive demand like weather and economic and political indicators, or help predict demand 5-10 years out when making long-term strategic decisions.
Read More →Demand planning is a good application for machine learning because the measure of success – the forecast accuracy – is clear. To learn, an application needs a clear measure of success. Having a clear measure of success sounds easy. But often, defining success in not easy. Consider a situation where a manufacturer learns of a shortage of a key component. Customers have already been promised products that depend upon that key production input. The supply […]
Read More →Machine learning has been successfully applied to demand planning, but leading suppliers of supply chain planning are beginning to work on using machine learning to improve supply planning. But architecturally and culturally, this is a much tougher problem than machine learning applied to demand planning.
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Supply Chain Brief
