The Kalman filter, a recursive algorithm for making short-term predictions, was written in BASIC and applied to feed consumption data of a commercial laying hen flock. The results showed that trends such as steady state, slope changes and transient responses could be monitored daily. Early detection of a change in response as differentiated from normal data variation allows the manager to make appropriate management adjustments for the flock.