The Future of Automating Duplicate Card Stocking in TCG Card Shop Sims
As technology continues to advance, we can expect to see further automation in card shop management simulations. AI-powered systems will streamline the process of stocking duplicate cards, using machine learning algorithms to analyze card popularity, inventory levels, and customer demand. This will enable retailers to maintain optimal stock levels, reducing the risk of overstocking or understocking. Additionally, automated systems can analyze player behavior and market trends to identify rising and underperforming cards, allowing retailers to make informed decisions about which cards to stock.
