Sitecore Version 10.4 - Refreshed
Contact Us
 
  • English
  • Japanese
  • Chinese

Collaborative Demand Manager for Refining

Combine historical data and market intelligence to generate and manage accurate demand forecasts.

Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.

Manage Historical Data

Combine, manage and manipulate your existing data in ways that add value and allow for process improvement and pattern visualization.

Incorporate Market Intelligence

Collaborate easily and intuitively by combining real-time market intelligence from sales, customers and marketing.

Generate Accurate Forecasts

Utilize advanced algorithmic methods to generate accurate forecasts that take the guesswork out of your S&OP Processes.

Visualize and Understand Demand Trends

Identify the most profitable terminal-wide game plan with easy and intuitive demand pattern recognition and analysis that includes seasonal switching.
Related Content
Introduction - Aspen Collaborative Demand Manager for Refining Video
Aspen Collaborative Demand Manager for Refining

Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.

Watch
Webinar: Driving Supply Chain Resiliency Through the Smart Enterprise and End-to-End Optimization On-Demand Webinar
Driving Supply Chain Resiliency Through the Smart Enterprise and End-to-End Optimization

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing...

View
Webinar On-Demand Webinar
Transform Your Demand Forecasting and Planning Process Using Aspen Collaborative Demand Manager, Featuring J.M. Huber

J.M. Huber has been leveraging Aspen Collaborative Demand Manager™ to improve forecast accuracy for over 3 1/2 years. During this webinar, Deborah Morris, supply chain process improvement and demand...

View
Shell Adopts Global Supply Chain Process to Increase Profitability and Drive an “Enterprise First” Strategy Case Study
Shell Adopts Global Supply Chain Process to Increase Profitability and Drive an “Enterprise First” Strategy

After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to...

View
Card image cap Live Webinar
Sign Up for the AspenTech Upcoming Webinars Newsletter

Receive the AspenTech monthly webinars e-newsletter to stay up-to-date on the latest topics for industrial leaders, including:

View
The Plant Digital Twin: The process plant, modeled rigorously using engineering models and enhanced by AI techniques with embedded cost and risk models. Interactive Infographic
Defining the Digital Twin

See how digital twin technology and Industrial AI provide real-time insights on system performance, helping to optimize operations and reduce costs with recommendations to maximize uptime.

View
Blog
The Paradigm of Industrial AI: Use Cases Are Delivering Business Value

In our latest AI series blog, we look at how Industrial AI is shaping digitalization strategies and explore use cases that are propelling AI adoption in the industrial sector.

View
Find More Content