Guided pricing recommendations in CRM use AI-driven insights to optimize pricing strategies based on customer behavior, market trends, and historical sales data. This feature helps sales teams determine the best price points for products or services by considering factors like competitor pricing, demand fluctuations, and customer willingness to pay. AI-powered CRM systems provide dynamic pricing models that adjust in real time, ensuring competitive and profitable pricing structures. For example, a subscription-based software company may offer personalized discounts based on a lead?s engagement level. Businesses benefit from increased deal win rates, maximized revenue, and enhanced pricing transparency. However, over-reliance on automated pricing requires careful oversight to maintain consistency. Properly implemented, guided pricing recommendations improve sales negotiations, reduce discounting errors, and drive profitability.