In this new world of digital transformation, forward looking energy/commodity trading companies are leveraging automation to accomplish what their competitors are still doing manually. At the same time, driven by tech-savvy users who grew up on digital, they are looking for new ways of implementation, innovative delivery methods, and quick service. Combined with market demands
In the business world, scalability refers to the ability of a company to sustain or improve its performance in terms of profitability or efficiency when its sales volume increases. In the software world, it means the capability of a system to handle a growing amount of work, or its potential to accommodate growth. With the
CTRM is a term you are familiar with as a reader of our Blogs: Commodity Trading and Risk Management Systems. They are purpose-built software systems to automate complex and routine tasks and business processes around supply/sourcing management thereby eliminating manual processes and reducing costly errors. CTRM systems have been commercially available for almost two decades,
Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and of course digitization has been and still are hot buzzwords. AI has been around for some time, while the term Machine Learning is a more recent term, often opportunistically used to rebrand AI. Machine Learning can be considered a current application of AI based
Energy and commodity markets have grown increasingly complex when it comes to trading, risk management, settlement and regulatory reporting. Trying to keep up with these developments, the monolith solutions that are supposed to manage all those activities in a single system have become nearly unmanageable, inflexible, and very costly to maintain. Since the financial crisis
In continuously evolving power markets, with highly volatile electricity prices, market participants are interested in managing their price risk in addition to their volumes and other risks. Price information from future contracts traded on standard markets do not provide the flexibility or granularity required for different intervals, such as hours of the days or weekdays.
The award-winning and web-based C/ETRM applications from Pioneer Solutions have been available for delivery in a cloud environment from the beginning. Over the years, it has been able to serve all customer deployment preferences, including traditional on-premise installation and remotely hosted by Pioneer in either public or private cloud. It is our experience that even
In one of our previous Blogs we wrote that operating in an environment where flexibility at a lower cost is required, this means a different type of technology solution and implementation is a necessary change for the future of C/ETRM. Next generation C/ETRM solutions from pioneering vendors can deliver on those requirements where legacy system and
