Industry: ITES
Our client stands as the largest digital provider of automotive solutions in India, offering comprehensive support to car buyers throughout their personal mobility journey. With an extensive range of services, the firm has successfully expanded its global presence to over 30 countries, encompassing both automotive and non-automotive solutions. This expansion allows them to reach a broader audience, serve a multitude of customers, and empower users to make well-informed decisions.
Business Challenges
The client wants to build an end-to-end solution wherein the edge device gathers metrics at a certain frequency from all the instruments on the floor shop and conducts edge analytics for real-time issues, thereon pushing all the data to a cloud platform where real-time data transformations are done and pushed on to a dashboard for visualization. The same data is pushed to storage for batch processing, leveraging ML to gain insights.
Our Solution
Our solution for Predictive Maintenance includes Azure Databricks, Azure IoT Advance real-time prediction methods, and enables attentiveness to achieve data-driven maintenance forecasting of the IoT-enabled devices.
We provide customized IoT and Predictive Maintenance solutions as per the customer’s requirements by bringing data from various IoT-designed devices and providing real-time predictive attentiveness on the status of the devices (which would require maintenance soon).
Data-driven Decision Capabilities
Modern analytics capabilities.
No licensing cost.
Insightful real-time reporting and dashboard capabilities along with attentiveness.
Real-time Processing & Compute on Demand
Customized real-time predictive machine learning model.
Increase the number of devices with no operational overhead from manually scaling up the processing resources.
Secured Data
Enhanced security.
Compatible with different data sources.
The solution helped the customer integrate the devices with the Azure IoT Hub to get real-time device telemetry data into the Azure Cloud. From the IOT Hub, the data points were consumed by Azure Databricks to perform real-time transformation and prediction to prepare useful insights. The transformed data was pushed to Power BI for live dashboard generation and to enable attentiveness when the data changes beyond the configured limits (Alert Mechanism).
The partnership between India’s leading car search venture and Celebal Technologies showcases the transformative power of predictive maintenance solutions. By harnessing technology and data analytics, the client successfully shifted from a reactive maintenance approach to a proactive one, resulting in substantial cost savings, minimized disruptions, and improved user experiences.
