Performance evaluation has been revolutionized by technology, extending its reach to the individual level. Consider health apps on your smartphone. They gather data breadcrumbs from your daily activities, providing analysis of your movement patterns. This isn’t a generic data compilation, but a near-accurate reflection of your physical activity during a specific period.
In the future, it’s conceivable that these apps might be equipped with an AI companion, or Copilot, to guide your next steps based on your past activities. It could suggest rest days or additional exercise to help you achieve your personal health goals.
This concept of performance evaluation based on collected data is the bedrock of process mining and process comparison. Our Copilot functionality adds a layer of assistance, enabling you to make informed decisions about your warehouse operations.
In this context, Copilot can help you optimize warehouse processes. It can identify bottlenecks in certain processes or compare different methods to achieve the same goal, empowering you to choose the most optimal method for your specific case.
In this blog, we’ll explore the essence of this feature, its intended audience, and how and why you should leverage it for your warehousing operations.
