Next Best Action for Sales Reps

A large European telecommunications company, as documented in a 2024 McKinsey case study, deployed generative AI to identify new service-based sales opportunities from existing customer interactions. The company developed an AI-powered dashboard for call center managers and sellers that analyzed customer service call scripts, scored conversation performance, identified skill improvement areas, and generated dedicated coaching programs for sellers. The implementation produced a 20% to 30% improvement in customer satisfaction scores. In a related pilot, the same company used generative AI to identify new sales leads from customer calls, achieving a conversion rate exceeding 10% on AI-surfaced opportunities, according to a separate 2024 McKinsey telecommunications analysis.

In the financial advisory sector, Carson Group, a wealth management firm, implemented a machine learning-based lead scoring system using historical sales data extracted from its CRM. According to a 2024 case study documented by Aviture, the predictive model achieved 96% accuracy in forecasting lead conversion likelihood. Within two weeks of deployment, advisors were using predictive analytics to anticipate client needs and offer proactive solutions, enabling the firm to scale client management capacity without proportional headcount increases. Separately, a mid-sized insurance company partnered with NineTwoThree to build a predictive lead scoring model deployed on cloud-based machine learning infrastructure. The model achieved over 90% accuracy in identifying high-conversion leads, and high-scoring leads converted at 3.5 times the average rate, while time spent on low-probability leads dropped by 80%.