AI时代，市场分析的新套路！快人一步抢好单，多拿单，拿大单！

Core Insights - The cardboard industry is facing dual challenges in 2025: insufficient orders and idle capacity, alongside scattered orders and extended payment terms leading to profit shrinkage [1] - Traditional methods of order taking via phone and WeChat are inefficient, resulting in high customer attrition rates and a blurred competitive landscape [1] - Many cardboard manufacturers rely on intuition for market analysis, lacking data-driven decision-making, which results in missed opportunities for quality orders [1] Group 1: Market Analysis and Strategy - Dongjing Technology's "Seven Steps to Order Taking" emphasizes market analysis as the primary breakthrough, focusing on precise positioning and product direction for cardboard manufacturers [3] - The approach includes using AI to analyze packaging demand in various end-user industries, identifying high-growth segments [3] - Data analysis of different industries' requirements for delivery, quality, and service can help tailor service strategies effectively [3] Group 2: Competitive Landscape - Competitive analysis can reveal market gaps by examining competitors' focus on materials, delivery times, and service quality, allowing manufacturers to pivot towards unmet demands [3] - Establishing a data platform to track raw material price indices and packaging trends can provide macro insights, transforming market data into visual dashboards for better decision-making [3][7] Group 3: Key Factors for Order Taking - Delivery time, quality, service, and cost are the four critical factors influencing order acquisition, which must be understood through market analysis [5] - Effective market analysis directly impacts these four factors, enabling manufacturers to maintain a relative advantage and secure more favorable orders [5] Group 4: AI and Data-Driven Management - In the AI era, data has become the core competitive advantage, and market analysis must adopt new methodologies [7] - Dongjing Technology's approach aims to transition manufacturers from random order taking to algorithm-driven order acquisition, creating a closed-loop management system for better order capture [7]