Gas Station Maintenance IoT and Analytics Case Study

This case study outlines the implementation of an enterprise digital platform utilizing IoT and advanced analytics for the third largest convenience store chain in the US, which operates over 10,000 fuel pumps. The objective was to minimize operational costs and enhance maintenance efficiency due to the complexities involved in managing gas station upkeep. The manual processes previously employed resulted in high response and resolution times, prompting the need for a digital solution. SLK developed a custom IoT platform that predicts machine downtime and integrates telemetry data from over 2,000 sites using Microsoft Azure for AI analytics. The solution aims to prevent costly downtimes, improve customer experience, and facilitate proactive monitoring of equipment. Key features include predictive analytics, a unified data repository, and automated workflows. The implementation has led to significant savings, with an estimated $2 million per year from preventing spillages alone. Overall, the collaboration has transformed operational efficiency and enhanced the customer experience.