Author

Charlie Chase
RSS
Executive Industry Consultant/Trusted Advisor, SAS Retail/CPG Global Practice

Charles Chase is the executive industry consultant and trusted advisor for the SAS Retail/CPG global practice. He is the author of Next Generation Demand Management: People, Process, Analytics and Technology, author of Demand-Driven Forecasting: A Structured Approach to Forecasting, and co-author of Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation, as well as over 50 articles in several business journals on demand forecasting and planning, supply chain management, and market response modeling. His latest book is Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy. To learn more, please see his Author page.

Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
6 advantages of using software as a service for grocery supply chain planning

You're not alone if you’re still seeing local grocery stores with empty shelves.  Food shortages are still lingering in 2023. Increases in consumer demand, labor shortages and shipping capacity restraints continue to interrupt supply chains, particularly for grocery retailers. These problems have persisted throughout the pandemic, as seen with the shortages

Advanced Analytics | Analytics | Artificial Intelligence | Cloud | Learn SAS | Machine Learning | SAS Events
Charlie Chase 0
Solving 3 emerging challenges for retail and consumer goods supply chains

The landscape of supply chains has changed rapidly due to unforeseen disruptions.  These changes include supply chain bottlenecks, inflation and geopolitical activities across retail and consumer goods industries. Retail supply chains are under immense pressure to keep up with these rapid changes. Innovators have been quick to take advantage of

Advanced Analytics | Analytics | Cloud
Charlie Chase 0
6 advantages of using software as a service for demand planning

Getting demand right – or getting it wrong – can have a significant impact on customer perceptions of your brand, particularly in this age of instant gratification. The need for agile, accurate demand planning has never been greater. Predicting forward-looking demand signals and shifting consumer demand patterns to recommend balanced, profitable commercial

Advanced Analytics | Analytics | Artificial Intelligence | Cloud
Charlie Chase 0
6 ways retailers can rebalance inventories as consumers shift spending

Consumers are pulling back and shifting their purchases in the wake of inflationary pressures caused by high prices for fuel, freight costs, consumer goods and nonessential products. Demand is shifting faster than many retailers and consumer goods companies anticipated. Inflation continues to rise forcing consumer spending to shift once again

Analytics | Machine Learning
Charlie Chase 0
How life science and health care supply chains can adapt to disruption

Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years

Analytics | Customer Intelligence | Data Visualization | Marketing
Charlie Chase 0
How CDP technologies offer sales and marketing teams powerful insights

In today's environment, data is exceedingly important but also increasingly harder to get and manage. A reliable customer data platform (CDP) can provide significant value to retail and consumer packaged goods (CPG) companies. Customer data platforms are used to consolidate and integrate customer and consumer data into a single data source. CDP

Advanced Analytics | Analytics | Data Management | Data Visualization
Charlie Chase 2
Misnomers regarding outliers and their usefulness in statistical modeling

Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really

Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
Can demand planning save your supply chain? Find out with this free trial

The past 20 months of disruptions caused by COVID-19 have been a wake-up call for retailers and consumer goods companies. Unpredictable market trends have caused havoc with categories, brands and products making it harder to predict supply requirements. All of these changes have given rise to the need for consumption

1 2 3 4