Digital Transformation in Practice : Learning from IIC Deployments
by plugging in their injection machines and IoT devices to the platform . Because the data standards are pre-defined , new IT solutions such as novel machine learning or deep learning algorithms can easily be deployed . Smart mold technology enables digital transformation in the molding business . This is because AI technology reduces quality costs , inspection costs and maintenance costs by replacing human labor . The business may then reallocate resources . Improved quality also affects customer satisfaction , and potentially alters the business model .
Operational impact : Through the smart mold platform and related AI solutions , the molding business participants can attach their IoT devices as well as their injection machines and enjoy several benefits offered by the platform .
Customer experience impact : The platform allows customers to detect the causes of the defects and provide quality prediction for customers autonomously . The customer can analyze the nonoperational loss and instantaneously change the work settings when a defect occurs . The customer can also conduct production recipe analysis . The AI service analyzes the factors related to production and develops the optimal recipe from it . Customers can also do the cost analysis . The solution analyzes the phenomena and causes of costs incurred by production losses and suggests effective solutions to overcome the problems related to the cost issues .
Business model impacts : The test drive offers new opportunities for molding manufacturers with enhancing their productivity and the quality of the molding . Thus , the AI solution service provided to the customers would increase the market profitability .
Figure 2 AI platform service diagram
IIC Journal of Innovation 59