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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39419
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the fast-evolving wearable technology market, product managers face the challenge of maximizing product longevity while maintaining user satisfaction post-launch. AI offers powerful tools to continuously improve wearables through predictive maintenance, over-the-air (OTA) updates, and dynamic user feedback loops. This whitepaper explores how AI can be leveraged to extend the lifecycle of wearables by enabling predictive insights into device performance, automating software updates, and fostering deeper engagement with users. We also examine strategies for retaining customers, managing the lifecycle of wearables, and ensuring that wearables remain relevant long after their initial launch. By effectively utilizing AI, product managers can ensure that wearables provide value over time, improving both customer loyalty and business profitability.
KEYWORDS
Publication Date
4/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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