Search Results: demand planning (328)

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

Analytics | Customer Intelligence
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Conozca las ventajas del análisis de la demanda en tiempo real

Contar con un inventario eficiente, que se ajuste a las necesidades de los clientes y prevea las preferencias de compra que tienen los consumidores incluso en tiempo real, pareciera un desafío complejo de resolver, sin embargo, se trata de una oportunidad al alcance de las organizaciones. Un área clave en

Jack Hymanson 0
Getting demand in shape

For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine

Leo Sadovy 0
Announcing SAS for ‘Demand Signal Analytics’

From Gartner to IDC to the trade press, the watchwords in the supply chain for rest of this decade appear to be “resiliency” and “responsiveness”. It’s not going to be about promotion-based pull-through, and it’s most definitely not going to be about channel incentive-based push-through.  What it’s going to be

Mike Gilliland 0
Incorporating demand planner knowledge

Can you explain the "random error" in your forecasts? This question was posed two weeks ago by Sam Iosevich, Managing Principal at Prognos, during his presentation  at the INFORMS Conference on Business Analytics and Operations Research. Sam stated that if your planners have knowledge that helps explain the "random error" in

Analytics
Richard Widdowson 0
Unwrapping holiday season success: Securing customer satisfaction with a transparent supply chain

As the holiday season approaches, businesses may be bracing for what’s been all too common in recent years – supply chain disruption. Retail and consumer goods industries have been hit with disruptions from every direction: profound shifts in consumer preferences, materials shortages, weather events, and geopolitical activities, to name just

Advanced Analytics | Analytics | Artificial Intelligence | Cloud | SAS Events
Lexi Regalado 0
4 ways you might not realize advanced analytics is changing the world

The word innovation often draws to mind images of self-driving cars, new phones, and shiny tech. Yet, innovation often happens behind the scenes, especially in advanced analytics. Around the world, industries like healthcare, government, banking, manufacturing, and more rely on the latest advancements in analytics. At SAS Explore, an event for

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

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 0
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

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