For trading companies, this trend signals that buyer-side procurement decision-making is changing. Some buyer enterprises already use internal AI tools to screen suppliers and compare specifications and pricing, rather than relying solely on human judgment from business staff. The practical impacts include: First, the structural clarity of product information becomes more critical—if specifications exist only as text within a PDF, AI struggles to interpret them, but if data has clear fields and labels, the buyer's system can easily extract and compare it. Second, the consistency and completeness of quotation format directly affects whether the buyer's AI can 'read' it correctly. Third, if business-buyer communication records are scattered across multiple communication tools, follow-up and handoff costs increase significantly. Overall, improving the structural clarity and readability of your own information is the most direct way to prepare for this trend.