The methods commonly employed to keep tabs on asset status, pinpoint their location, and assess maintenance requirements often prove inadequate. Relying solely on manual tracking approaches introduces a significant risk of errors, which can have far-reaching consequences. These traditional methods lack the ability to foresee potential issues before they escalate. In other words, they fall short in offering the foresight that could prevent costly breakdowns and disruptions. This deficiency in predictive capabilities contributes to inefficiencies, causing downtime and increasing operational costs.