Managing apparel production efficiently has always been a problem to many manufacturers as the planning and control process relies heavily on the knowledge, experience and intuition of production managers. Their decisions in planning and control are found to be inconsistent and non-optimal due to fact that many of them can only be considered as quick-fix without giving a wider consideration on an overall situation. Although current real-time shop floor data capture systems utilizing RFID technology are available in the markets, such as GPRO, Igarment (IWork), Zymmetry, to facilitate the capture of production data and provide real-time reports, they are not equipped with any artificial intelligent (AI) elements which can help production management to improve their decision making. The proposed research aims to employ AI techniques for developing a novel smart (intelligent) process flow management expert system which can provide scientific production planning and line-balancing decisions for agile apparel manufacturing management. The system can be plugged into any commercial data capture system to enhance the capabilities of these systems in terms of decision support.