Time/week spent: 5h - 15h

On average, individuals realistically spend between 5 to 15 hours per week on the AI-Powered Supply Chain Optimization and Risk Prediction Services business opportunity. Initially, more time is needed for learning the AI algorithms, understanding supply chain dynamics, and setting up the predictive models, which can take around 10 to 20 hours a week. As the business stabilizes, the time commitment can decrease to around 5 to 10 hours a week. Tasks include client consultations, data analysis, model adjustments, and staying updated on industry trends. The time spent may vary depending on the number of clients and the complexity of their supply chains. Online communities suggest that this hustle is moderately demanding, requiring consistent effort to deliver accurate predictions and maintain client satisfaction.