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

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.

Video

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 p...

On Demand Webinar

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...

Case Study

大型私有石油和天然气公司在全球部署Aspen PIMS-AO™系统

本案例研究详细介绍了一家全球超级巨头采用的系统方法，该方法利用一流技术，利用Aspen PIMS-AO技术改进全球炼油厂和化工厂的生产计划。基于对不同技术的并行测试，Aspen PIMS-AO带来了新的见解，增强了对利润结果的信心，并加强了与交易者的对话。

Case Study

energy, sustainability, co2 emissions, carbon neutrality

It's All About Arithmetic and Physics

AspenTech Sustainability Advisor Paige Morse shares her thoughts on the recent COP26 conference in Glasgow, Scotland.

Blog

数字孪生与智能企业

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

White Paper

Pushing the Reliability Envelope: Digital Optimization for the “Always On” Refinery

AspenTech conducted a survey of 240 downstream customers to uncover thoughts and opinions on digital optimization and industry trends for 2018 and beyond. This white paper details the results of the s...

White Paper