AI work order anomaly detection
ServiceChannel AI evaluates key components of the work order based on the historical data of millions of work orders.
ServiceChannel
Save time and boost your first-time fix rate with ServiceChannel AI work order anomaly detection
Get notified of common work order issues — before they cause delays from wasted trips, repeat visits, unnecessary proposals, or rework.
Now as they create work orders, your customers have the option to use ServiceChannel AI to catch the three most common blockers:
- Wrong trade
- Unrealistic NTE
- Likely to require multiple visits
ServiceChannel AI evaluates key components of the work order based on the historical data of millions of work orders. When one or more of these potential issues is detected, they are flagged in your ServiceRequest email:
Trade Anomaly Detected: Shows the trade most often associated with similar work orders.
NTE Score: Shows the percent the NTE is above or below the median of similar work orders.
First Time Fix Score: Shows the percent of similar work orders required more than one visit.
What to do if you get notification that the work order has one or more of these anomalies
- First, take a closer look to see whether there is information in the work order details to help you understand the most likely scenario and how to come prepared.
- If you’re familiar with the specific location or asset involved, that may give you the insight you need to dispatch the right technician or bring a likely needed part or special equipment.
- If you know from experience that the NTE is unrealistic, request an increase before dispatch.
- If you’re still unclear, contact your customer for the additional detail needed before you dispatch.
- If it’s an emergency, dispatch immediately. Your customer was also alerted to the anomalies when they created the work order.
- Add notes to the work order to acknowledge the anomaly and report the outcome. That will help you build trust with your customer and help AI learn.
