Fisher & Paykel Enabling Predictive Maintenance for IoT Appliances
New Zealand-based luxury appliance manufacturer Fisher & Paykel is continuing to expand its work with AI, this time using the technology to bolster its smart appliance efforts by using data to predict and prevent maintenance problems.
The company’s work with Salesforce’s Agentforce has thus far been tied to automations and AI agents within customer service, helping consumers schedule service appointments to free up employee time for more value-added tasks. Now, Fisher & Paykel is looking to use its IoT-enabled appliances to send real-time performance updates that could help catch small issues before they become larger problems.
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As an example, Fisher & Paykel said one of its refrigerators might be showing signs of having a compressor issue that starts off as a glitch but then turns into a full breakdown if not caught early.
The company hasn’t been able to use data in this predictive manner previously due to a lack of data centralization. Now, it is looking to use cloud-consolidated product telemetry data to track real-time signals from millions of connected appliances.
Automated Detection and Notifications
If an issue is identified, the company will notify customers through its smart appliance app or via email to schedule repairs. It will also send out notifications to help customers use more energy-efficient settings.
The company can work with a host of resources within the platform to aid in identifying the issue, including over 10,000 articles with product details, model specs and repair instructions.
Through these upgrades, Fisher & Paykel expects to improve appliance performance, reduce unnecessary repairs, lower costs and elevate the customer experience, according to a Salesforce blog.
Rudi Khoury, chief digital officer for Fisher & Paykel, said in a statement that using this data alongside its connected devices will the company more proactively assist its customers.
