Finding Solution for Business Problems
Business Solution for Client in Insurance Sector
Quick turnaround is always a priority for customer satisfaction, for our customer in insurance sector we partner to design a pilot solution focuses on minimizing physical inspection and speeding up the approval process. Utilizing Artificial Intelligence and deep learning. We developed a computer vision model that can scan roof images from satellite pictures in combination of those provided by the customers. This model is capable of accurately identifying, verifying, and predicting damage and helps the assessment offices to settle the insurance claim faster.
Business Solution for Client in Ecommerce Industry
Seller churn presents a significant challenge for any ecommerce platforms by reducing their profits. Our cross-platform research study discovered a correlation between a seller's social media performance and their likelihood of churning on the customers ecommerce platform. Using machine learning models, natural language processing, and path analysis with numerous latent variables, our model can predict which sellers are likely to churn in the near futurebased on their engagement with customers on social media websites. This is not a straightforward behaviour and cannot be discerned just by examining their posts. Our research, which is soon to be published in a top journal, is currently in the process of submission.
Business Solution for Steel Production Plant
A steel production plant came to look for an option to use technology in steel testing and wellbeing of workers. Steel production process highly dependent on its phosphorus and other element levels. As a part of the solution, our R&D team worked with customer to bring value on how we can reduce the manual effort, workers risk and increase productivity at the same time. A machine learning model, utilizing data science, was created with an accuracy of 99.96% to predict the proportion of phosphorus, eliminating the need to halt the process, manually extract the molten steel, and test it in a laboratory. With this model, the oxygen blow and temperature can be adjusted without interruption. commitment to their success.