
The client had trouble with old methods for making oil blends, which led to a lot of guesswork and wasted time and resources. The quality of their products was often uneven, and managing reports and data was slow and frustrating. They needed a digital solution to simplify the process.
A major oil refinery producing a wide range of fuels, including gasoline, diesel, and aviation fuel. Their traditional blending methods were manual, prone to error, and inefficient, leading to wasted resources and inconsistent product quality.
An AI algorithm that suggests optimal mixture ratios to achieve desired fuel specifications while minimizing cost and waste.
A centralized platform for tracking oil samples, managing inventory, and scheduling lab resources.
Forecasting how different blends will perform under testing, allowing for adjustments before physical mixing begins.
Old methods involving guesswork led to time-consuming trial and error in the lab.
Difficulty in maintaining strict specification standards across batches due to manual variability.
Lab data and reporting were often disconnected from production planning, slowing down the feedback loop.
We built a web app that uses AI to simplify oil blending and streamline lab work. The app lets users enter samples, create custom blends, and predict performance. It also manages lab inventory and generates reports. This solution helped the client reduce mistakes, save time, and improve product quality.