Chaos theory and application in sells management

Progresses in calculation tools in recent decades have provided us with the possibility of utilizing theories based on existence of certain or chaotic non-linear patterns. Chaotic theory with more through study of specifications of complicated behavior and data that seem to be random, try to recognize order and pattern governing them and use them for predictability future trend in short term. Nowadays this knowledge with the help of data behavior analysis has provided the base of structural changes in future performance prediction. In this article, probability of chaos in daily sales volume in an industrial unit with regard to test of strange attractor and biggest Lyapunov exponent has been investigated. Result of applying the method discloses existence of some degree of certainty in these data.