Data Visualization for Forecasting LPG Usage

The supply of LPG (Liquefied Petroleum Gas) or Cooking gas in major parts of India is done via cylinders. Customers have to book for a refill of cylinders to the LPG company and the supply is done by dealers and distributors associated with the provider. This prevents real-time monitoring of the fuel usage and safety of the cylinders unlike in the case of LPG supplied through pipelines where there is real-time data available on gas consumption through meters.

The capability to get real-time data on the LPG gas consumption through cylinders can help the company’s distribution network in optimizing its inventory and stocks. It can also deliver data intelligence on peak/lean season gas consumption, trends in household gas consumption and other data that can help a company in demand forecasting.

Today, sensors, Internet of Things (IoT) devices, and AI-powered software enable companies in collecting and processing vast amounts of data, get real-time intelligence and plan accordingly. We leveraged AI and Machine Learning to predict LPG usage from different perspectives by using a concept mechanism like a trolley. These trolleys capture the weights of the cylinders and transmit continuous updates on weight of the cylinder, gas leakage occurrences and ambient temperature to the dealers and manufacturers. Having the ability to capture the above-mentioned data points continuously will allow the possibility of real-time streaming analytics of the LPG gas usage as well as advanced analytics on data captured over long periods of time.

Our data visualization dashboard showcases the data intelligence extracted through our data analysis and modeling. It shows how LPG companies supplying cooking gas through cylinders can use the data for optimized inventory planning and other benefits.