Data Science and Digitalization in O&G Retail

Erima Goyal, Manager of Analytics and Data Science at Parkland Fuel Corporation, is passionate about solving complex problems and creating impactful analytics solutions. With a strong focus on driving digital innovation, she brings a deep understanding of how data science can unlock value across the oil and gas retail sector. She is all set to share her views on Data Science and Digitalization in O&G Retail, where she will explore how advanced analytics, machine learning, and digital tools are transforming retail operations—enhancing customer experience, optimizing supply chains, and enabling smarter, data-driven decision-making.

She will share her views on how predictive models are being used to enhance retail operations in the oil and gas sector, enabling more efficient inventory management, demand forecasting, and customer engagement strategies. Her session will also highlight the application of computer vision to gain deeper insights into customer behavior and site performance, ultimately helping businesses make smarter decisions and deliver more personalized experiences. By combining data science with digital tools, she will demonstrate how retail operations can achieve greater agility, profitability, and customer satisfaction.

1. Predictive models to enhance retail operations
 

2. Computer Vision to build better business and customer understanding