The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams develop agents that control a computer assembly company in a simulated environment. TAC SCM involves the following problems: to determine when to send offers, decide the final sales prices of the goods offered and plan the factory and delivery schedules. In this work, we developed a TACSCM agent called TicTACtoe, that uses Wilson’s XCSR classifier system to decide the final sales prices. In addition, we developed an adaptation for this classifier system, that we called
blocking classifiers technique
, which allows the use of XCSR within environments with single-step tasks and delayed rewards. Our results show that XCSR allows generating a set of rules that solves the TAC SCM sales problem in a satisfactory way. Moreover, we found that the blocking mechanism improves the performance of the agent in the TAC SCM scenario.