Speech recognition accuracy is critical to user adoption and efficiency. If a warehouse worker using a voice picking system has to repeat him- or herself, or if the speech recognizer mis-recognizes commands, the user’s productivity suffers. Equally important, recognition errors frustrate users and can lead to worker resistance to using the technology.
From a dollars and cents perspective, every five percent difference in recognition accuracy – 99% accuracy versus 94%, for example – translates into 2-6 minutes of productivity benefit per user per day (depending on pick rates and other factors). While the individual time benefit of better accuracy is small, the cumulative benefit for operations with large numbers of users is significant.