This study aimed to develop a coffee bean classifier system that would obtain the weight of the coffee bean sack, detect the moisture content of the coffee beans and identify the beans according to its classification (grade 1, 2 or 3). The device would automatically compute the cost of the coffee bean sack in accordance to the reading of the sensors. The device has a tablet computer that would display the reading of the device and print a receipt for the sellers and buyers. This study made use of the engineering design process with iteration techniques and descriptive approach. A researcher-made questionnaire was used in evaluation and functionality test procedures (each component with 15 trials each) were conducted to assess the functionality and stability of the device. The evaluation results signified the working functionality of the project. It solved the problem faced by physical and manual systems employed by the coffee bean buyers.