How Sidhyati replaced manual-intensive fuel operations with a connected sensor-to-cloud platform, bringing real-time accuracy, centralized control, and measurable financial gains across pump stations.
Integrating IoT technology into fuel retail has transformed the efficiency and accuracy of dispensing operations. Traditionally manual-intensive, these workflows were prone to inaccurate data, operational delays, and financial losses from human error. This case study details how Sidhyati designed and delivered a connected automation system that turns raw sensor readings from pumps, tanks, and nozzles into secure, centralized, real-time intelligence.
Manual monitoring and data entry in fuel dispensing were error-prone, driving discrepancies in fuel inventory, sales reconciliation, and payment collection.
Integrating diverse sensor data from pumps, tanks, and nozzles raised interoperability hurdles across varied standards and protocols, while secure, centralized data management across multiple stations remained crucial yet complex.
We paired ruggedized field hardware with a cloud data layer: sensors in tanks and dispensing nozzles feed a controller unit that processes readings for fuel density, tank levels, and dispensing accuracy.
A normalization layer reconciles differing sensor protocols into one data model, with interfaces to databases and APIs for real-time updates and secure, centralized storage.
Density, tank-level & dispensing sensors
Edge controller normalizes signals
Secure APIs & centralized storage
Web apps for remote operations
A robust IoT automation system in two parts: hardware sensors across tanks and dispensing nozzles with a controller unit for on-site processing, and a software layer that centralizes data collection and integrates with databases and APIs. Client web applications put full station control in operators' hands, from any location.
Operate pump stations from anywhere.
Adjust pricing and monitor sales live.
Reconcile collections without manual entry.
Insights on reconciliation, inventory & efficiency.
Improved operational efficiency by reducing manual intervention and eliminating human error.
Significant financial gains through reduced fuel losses and increased profitability.
Enhanced user experience with intuitive interfaces and remote accessibility.
Ensured data integrity through centralized management, eliminating discrepancies and lowering operational costs.
Raw readings from the forecourt, normalized into one data model.
Let’s talk about how we can engineer the same kind of outcome for your business.