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This continuous data analysis facilitates a proactive engagement with customers. Companies can advise clients on optimal machine usage patterns, helping them avoid unnecessary expenses and improve productivity. If the data indicates inefficient operation, the service provider can guide the customer toward better practices, ultimately reducing machine wear and tear, and lowering maintenance costs.
An example highlighted in the discussion shows how customers receive feedback on how their usage might be causing financial losses. This personalized guidance not only improves equipment longevity but also enhances overall customer satisfaction.