Our team worked closely with the client’s quality assurance experts to identify common failure types and analyze patterns to uncover root causes.
Meet our client
Client:
Industry:
Market:
Technology:
Client’s Challenge
A global home appliance company sought to monetize its IoT data from connected devices. The goals were to reduce failures, cut service costs, increase first-time repair success rates, and generate additional revenue through proactive service offers. The company also aimed to leverage usage data to inform product design. Key challenges included managing vast amounts of data and the absence of labeled data for training predictive models.
Our Solution
Our team worked closely with the client’s quality assurance experts to identify common failure types and analyze patterns to uncover root causes. Using this data, we built a real-time analytics workflow in BigQuery to monitor incoming data streams.
Client’s Benefits
The solution was integrated into the client’s customer app, providing a proactive communication channel that increased customer satisfaction, improved service outcomes, and enhanced the overall value of the product.
