Tag: demand forecasting

Internet of Things | Machine Learning
Charlie Chase 0
Is quick response forecasting a reality or just another buzzword?

“Quick response forecasting (QRF) techniques are forecasting processes that can incorporate information quickly enough to act upon by agile supply chains” explained Dr. Larry Lapide, in a recent Journal of Business Forecasting column. The concept of QRF is based on updating demand forecasts to reflect real and rapid changes in demand, both

Advanced Analytics | Machine Learning
Charlie Chase 0
Is demand sensing and shaping a key component of your company’s digital supply chain transformation?

Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments.        Most companies think that they are sensing demand when in fact they are

Advanced Analytics | Data Management | Internet of Things
Charlie Chase 0
Omnichannel is changing the way we view demand planning

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience.  Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time.     Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are

Data Management | Machine Learning
Charlie Chase 0
Machine learning changes the way we forecast in retail and CPG

Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the

Nilmadhab Mandal 0
Data massaging adds error, just forecast!

In a recent meeting, the CIO of a leading commercial automotive company’s shared his experience of high complexity in managing forecasting data. I was not surprised. Often demand planners complain about managing forecasting data. I can relate to where there are coming from. It’s due to the approach prescribed by their legacy

Michael Newkirk 0
What I really want is a speed boat not a tanker

SAS recently commissioned the Wall Street Journal to conduct a survey of top manufacturing executives. In this study, we were interested to know what were the top of mind issues or initiatives that they were considering. Nearly ninety percent of the respondents are employed in a managerial position or higher.