Elevating Energy Platform Trade Efficiency With MVP Data Management Screens

As a developer who focuses on providing simple solutions for suppliers and brokers within the energy sector, our client has positioned themselves a ring above the rest with their array of advanced platforms. However, there is only so much a single entity can innovate before hitting a snag. With a desire to further augment their software capabilities – helping their clients grow and win more deals – they needed assistance from another accomplished developer: Chetu.

Tasked with crafting a solution that would enable the efficient input, tracking, and managing of trades for suppliers, our goal was to create Minimum Viable Product (MVP) screens for one of their existing platforms. This change towards a more intuitive system would allow suppliers to record energy trades used as hedges against provided energy and drive seamless trade entry, editing, bulk import, and position reporting within an efficient workflow. Below are the key features representing this workflow.

Now, let's see how we achieved it.

The Approach

As a developer with a quarter-century of experience, we understand the value of a structured approach that integrates the best development practices alongside impactful technologies. Since our client's existing platform was built on a .NET framework, we used the best practices and internal coding guidelines to ensure the software was scalable, maintainable, and of high quality. Serving the architecture in a foundational way, SQL Server was leveraged as the database, while NHibernate was used as the ORM, or Object-Relational Mapping, tool. With their back-end architecture capable of handling complex trade data, we move on to the front-end.

ReactJS provided the suite of features needed to provide our client with an intuitive and responsive user interface. As our goal revolved around providing multiple screens that would serve various purposes, data visualization and trade tracking capabilities were a must. As we enabled our client with these elements – ensuring they remained aligned with their infrastructure to avoid disruption – our developers conducted testing across many environments such as Chrome, Firefox, and Edge. Consequently, after confirming functionality, we delivered our work to the client.

The Results

The enhancements we were able to produce resulted in significant improvements to the efficiency offerings our client held in such high regard. Being able to easily input, modify, and archive trades was a needed feature for suppliers. This, along with the introduction of dynamic dropdowns for trader, counterparty, and party selection, made manual errors less frequent. In addition, the newly enhanced trade entry table made the visibility of past and current trades much easier, making it effortless for suppliers to generate position reports, track hedges, and execute modifications.

Further Innovations with Cutting-Edge AI

All of these advancements would not have been possible without our developers' strategic development and commitment. Furthermore, as we transformed their management capabilities with industry-leading technologies, we're confident that the advent of Machine Learning and other subsets of Artificial Intelligence could go beyond what we accomplished here.

Going beyond the reductions in inefficiencies and improvements to workflows, our developers can leverage AI within projects such as the one you've read about today and many more.