Group 1 - The core challenges faced by sales teams include fragmented customer resources, lack of transparency in the sales process, and inaccurate performance forecasting [1][3] - Traditional sales management suffers from three main pain points: unscientific goal setting, difficulty in tracking execution, and significant forecasting errors [3] - CRM systems provide solutions through data-driven goal decomposition, full-process visibility, and AI predictive analysis [3][5] Group 2 - CRM software can automatically analyze historical sales data and market trends to intelligently break down annual or quarterly targets to individual levels, resulting in a 35% increase in target achievement rates for some companies [5] - Unlike traditional Excel spreadsheets, CRM systems allow for dynamic goal adjustments based on market fluctuations and AI predictions [5][11] - Visualizing the sales funnel helps in accurately tracking progress and allows management to view team and individual KPI completion in real-time [5][11] Group 3 - AI-driven performance forecasting through CRM systems can enhance sales prediction accuracy to over 85% for some financial companies [5][11] - Real-time dashboards in CRM systems assist management in monitoring sales target completion rates and analyzing contributions from top customers [5][11] Group 4 - A successful case study of a B2B company illustrates how CRM solutions led to a 40% increase in target achievement rates, a 30% reduction in sales cycles, and a 25% decrease in customer churn [11] - Key considerations for selecting a suitable CRM system include matching business needs, evaluating critical functionalities, and ensuring proper implementation and training [13] Group 5 - In the digital age, CRM has evolved from a customer management tool to a core engine for achieving sales goals, significantly enhancing team execution and performance rates [14][15]