Color accuracy and consistency is crucial for printing. In order to compensate for fluctuations in consumables and environmental factors associated with electrophotography (EP), calibrations are performed at specific intervals to maintain color quality. During a calibration, color patches are printed on either paper or the transfermedia and EP process parameters are adjusted based on the density measurements of the patches. Since each calibration may require additional time and consumables, it is desirable to increase the interval of calibration as well as to reduce the number of calibration patches. In this paper, an algorithm to improve color consistency while reducing consumable consumption and increasing calibration interval is proposed. The algorithm utilizes statistical model prediction. The proposed algorithm can adapt the EP process to compensate for consumable usage and measurable environmental factors with minimal number of calibration patches. The effectiveness of the proposed algorithm is validated using an off-the-shelf in-line color EP printer under different environmental conditions as well as different consumable usage models.