Core Insights - The article highlights the transformation of a local community group purchasing team in Zhengzhou, which shifted from a trial-and-error approach to a data-driven product selection strategy, significantly improving sales performance and reducing inventory costs [1][3][10] Group 1: Challenges Faced - The team initially struggled with a low product selection success rate of 40%, leading to 30% of products becoming unsold and incurring high storage and loss costs [1] - The reliance on experience and market trends resulted in frequent missteps and high trial costs [1][3] Group 2: Implementation of Data-Driven Solutions - The introduction of a data analysis system from a specialized company allowed the team to focus on local consumer demand, identifying a 67% increase in search volume for "healthy snacks" and a 120% increase for "枣仁派" [4][5] - The system enabled the team to select the best suppliers by comparing 12 factories based on user ratings, complaint rates, and delivery times, leading to the choice of "好想你" with an 89% user satisfaction rate [6][8] Group 3: Testing and Results - A small batch testing module was implemented, allowing the team to launch only 1,000 units of "枣仁派," which sold out quickly, prompting an increase in supply for subsequent sales [8] - The successful sales of "枣仁派" exceeded 10 million yuan annually and led to the development of four derivative products, with the selection success rate rising to 82% and unsold inventory dropping to 8% [3][8]