Leveraging advanced Machine Learning Methodologies for transforming good governance practices in Oil & Gas retailing.

SPEAKERS

Pragyaditya Das Assistant Manager (Retail Transformation), Indian Oil Corporation Limited

ABOUT THE SESSION

Pragyaditya Das, Assistant Manager (Retail Transformation) at Indian Oil Corporation Limited, brings over 8 years of hands-on experience in the Downstream Oil & Gas sector, with expertise spanning Project Management, Contract Management, Design Engineering, and Data-Driven Decision Making. He has played a key role in developing functional design requirements and technical specifications for downstream infrastructure and has successfully led the implementation of advanced process automation and analytics solutions across 30,000+ gas stations, significantly reducing human intervention in daily operations. Adept at navigating the geographical, political, and socio-economic complexities of Pan India operations, Pragyaditya ensures seamless project execution across diverse landscapes. Committed to driving innovation and operational efficiency, he is all set to share his views on leveraging advanced Machine Learning methodologies to transform good governance practices in Oil & Gas retailing.

His session will dive into the core principle that the ultimate goal of any Oil & Gas process is revenue generation. In today’s landscape, the O&G retailing market operates as a pull market, where minimal effort is needed to sell finished products. However, the onus lies on corporations managing retail operations to ensure that end customers consistently receive fuel that guarantees 100% quality and quantity, while also delivering a superior customer experience. With the massive volume of transactions occurring daily at gas stations, there is a rich pool of data available to drive sophisticated machine learning algorithms. By integrating Blockchain fundamentals, these algorithms can significantly enhance processing speed, deliver actionable insights, and minimize First-Time-Not-Right instances—leading to smarter, more reliable operations.

Key Topics-

1. The goal of any O&G process is revenue generation. As of today, the O&G retailing market is a ?Pull market,? meaning there is ?little? to ?no effort? required to sell the finished products.

2. As corporates who handle the retailing of O&G business, it is our responsibility that the end customer is provided with fuel that ensures 100% quality & quantity and provides customer delight.

3. With the high volume of transactions happening at Gas Stations, we have enough data to drive complex ML algorithms that leverage Blockchain fundamentals to gain speed of processing, generate actionable analytic insights, and reduce First-Time-Not-Right percentages.

For more on this conference or to access the session, reach out to us at info@ptnevents.com. 

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