Universal Agent Model Implementation Case Study

This case study outlines the implementation of a universal agent model by [24]7.ai for a leading home improvement retailer in the United States. The client operates over 1,700 stores and handles approximately 16 million customer transactions weekly. The primary objective was to unify pre- and post-purchase chat operations into a single model to enhance customer service efficiency. The engagement aimed to achieve a First Contact Resolution (FCR) of 77% and an Agent Satisfaction (ASAT) score of 77% within a 120-day period. Key strategies included building a high-quality talent pool, deploying a custom training program utilizing GenAI simulations, and implementing a phased ramp-up model for agents. The results demonstrated that the universal agent team met and exceeded the targets ahead of schedule, achieving significant improvements in average handle time and operational efficiency. The study emphasizes the effectiveness of analytics-driven optimization and the importance of a collaborative partnership in achieving these outcomes.