Owlet discovered their baby monitoring product was not working as designed for some customers. They suspected the failure was due to potting material not being appropriately cured, but with the factory being overseas, they needed a way to remotely verify their hypothesis and identify the root cause of the product failure.
Owlet deployed Instrumental stations to capture images of failed units and units with the new curing process. Using Instrumental's Visual Search, which employs AI algorithms to find anomalies and similarities in image data, they quickly and accurately identified the root cause of the product failure related to potting material. They then worked with their manufacturer to fix the defect-causing process.
Owlet achieved 8X faster failure analysis and process improvement compared to traditional methods. The company saved $953K per year by avoiding product replacements and achieved one-month breakeven on their Instrumental investment. The fix improved product quality and customer satisfaction for their baby monitoring devices.
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