Automation and optimization of processes in Energy trading
Problem
The client was facing a couple of challenges that mainly resulted from too much manual work in producing reports hence the core processes needed to be improved and become automated to reduce the time spent to complete them, also to identify the main reason behind this problem and create the basis for analysis much needed for better decision-making around pricing.
Solution
We analyzed the core processes to detect the issues, and by optimizing and automating those processes we implemented a solution that makes calculation of income based on the daily prices for the next 2 years and prediction of expected demand from customers (existing and new ones). Additionally, we optimized the retail processes and prediction of the merit order and the processes of analyzing consumption.
Results
We managed to lower the client’s costs, create better predictions, increase their portfolio’s rate of return, and help the stakeholders identify patterns and insights in data.
