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Enabling 360° view of customers for a leading P&C insurer, through data on cloud initiative to achieve 40% productivity improvement
Home / Case Study / Predictive Maintenance for Gas Stations for the Third Largest Convenience Store Chain in the US through IoT and Analytics
Built an enterprise digital platform using IoT and advanced analytics to unlock upkeep and
operational transformation, thereby reducing operational costs
The third largest leading convenience store chain in the Mid-west and Southern US operating 10000+ fuel pumps wanted to minimize operational costs and enable upkeep towards operational efficiency. The manual processing led to high response and resolution time. SLK leveraged a custom digital IoT platform to predict machine downtime while providing insights and foresight towards a competitive edge. We built a unified data repository for digital channels for analysis, automated workflows & triggers.
The client uses Gilbarco gas dispensers in their fuel pumps at convenience stores across the US. Gas station maintenance is complex and requires a lot of manpower and effort to manage those stations. For safety and compliance, a continuous maintenance effort is needed to ensure the safe functioning of the equipment. A significant amount of time and money is spent on the process.
Any unwanted downtime impacts the bottom-line costs directly. These fuel pumps and other devices on the forecourt have been managed and maintained manually, meaning that a failure in a part of the system resulted in an interruption in service and functionality. This hampers customer satisfaction and overall service experience.
To prevent costly downtimes and improve customer experience, the customer turned to SLK for a digital solution. SLK collaborated with IoT platform vendors to provide an end-to-end solution to the client. IoT devices were installed and telemetry data was integrated from over 2000 sites. For AI analytics and machine learning, the Microsoft Azure platform was used. The solution by SLK has been built and deployed in the Azure environment and will help detect issues before they occur and take preventive action while aiding swift repairs. Considering 20 spillages per year, the estimated preventative savings from that one use case alone is more than $2 Million/Year.
Our solution helps monitor equipment to identify issues while they are still small and address them proactively. We wanted to deliver the ability to monitor those issues remotely. It allows the fuel stations to increase their efficiencies and provide insights through a central monitoring system for the retailer. Key tenets of our IoT on Cloud Solution:
Cost savings yearly
Performance improvement
Accuracy in predictions
Together SLK and the client addressed the business and operational transformation and customer experience need using SLK’s experience and capabilities in building IoT solutions on the cloud.
Enabling 360° view of customers for a leading P&C insurer, through data on cloud initiative to achieve 40% productivity improvement
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