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Cutting First-Response Time by 42%
How a mid-market direct-to-consumer retail brand restructured its support operations with Infusion BI to cut response times and protect peak-season CSAT.
Overview
A representative engagement scenario, based on outcomes typical of Infusion BI's retail and e-commerce client portfolio, detailing how a blended AI-assisted support model reduced first-response time, stabilized peak-season staffing, and improved CSAT without increasing headcount costs.
Key Takeaways
42% reduction in first-response time within the first two quarters of the engagement.
How a tiered, AI-assisted triage model absorbed a 3x peak-season ticket surge without new full-time hires.
The staffing and QA structure used to hold CSAT steady above 90% through the transition.
Target Audience
E-commerce operations leaders, VPs of Customer Experience, and retail brands evaluating outsourced support partners.
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