||Precast concrete manufacturers are highly involved in the construction industry through the supply of bespoke products. Their workload is a complex combination of different and unique designed products, which have various delivery dates. The production process from design to manufacturing is complicated and contains uncertainties due to many factors such as: multi-disciplinary design, progress on construction sites, and costly purpose-built moulds. An integrated, comprehensive planning system called Artificial Intelligence Planner (AIP) has been proposed to improve the efficiency of the process by targeting on the production planning as a significant impact to the success of the business. Artificial intelligent techniques are used in AIP to enhance data analyses and decision supports for production planning. A case study for the implementation was conducted on a real bespoke precast concrete manufacturer. The difference between AIP and this factory setting was attended. Data from the studied were reformatted and the AIP configuration was customized. Finally, the successful implementation has showed the adaptability and flexibility of AIP to the real production conditions, and it has given the improvement of the resulted production schedules. The anticipated outcomes are the shortened customer lead-time and the optimum factory's resource utilization.