Technology offers numerous tools and systems that can significantly improve quality. Automation can reduce human error and increase efficiency, while data analytics can provide insights into quality issues and help in making informed decisions. Customer Relationship Management (CRM) systems can track customer feedback and identify trends that need addressing. Additionally, advancements in artificial intelligence and machine learning can predict potential quality issues before they occur, allowing for proactive measures.