On July 2, 2026, Spanx, Dermalogica, and AS Beauty disclosed they are early adopters of AI agents that automatically identify revenue opportunities and underperforming customer interactions. The companies are using Klaviyo's Composer marketing platform and enhanced Customer Agent service platform, which share real-time CRM data to pinpoint inefficiencies like campaign collisions and automate support tasks.
Spotting collisions across 113 automated flows
The AI Agents & Automation capabilities in Composer audit workflows, customer segments, and current campaigns to surface revenue opportunities. It also identifies cross-channel marketing campaigns that can be accessed before they are deployed.
At AS Beauty, the platform immediately flagged a problem with its 113 automated email flows. Katherine Cabe, senior director of retention marketing, said, "[It] surfaced collision issues across our 113-flow library, showing us where automations were unintentionally competing for the same customers, creating unnecessary message volume and potential revenue loss."
The collision detection prevents teams from sending redundant messages that frustrate customers and waste budget.
Unifying support and marketing data
The customer service tool analyzes past purchase history, shopping cart activity, and prior marketing engagement. Automating tasks like returns, product recommendations, and loyalty point management is a core function of AI for Customer Support, and the Customer Agent platform now handles these directly. Both agents draw on the same real-time customer data from their respective CRM platforms, enabling marketing and customer service teams to share insights.
The brands can view a customer's engagement history, purchasing behavior, and product interests in a unified profile, and use that data to inform future recommendations and communications. The shared data stream means agent-based automation can now span both departments, reducing the silos that often lead to disjointed customer experiences.
Why this matters for customer support teams
For support teams, these pilots show that AI agents can do more than respond to tickets. By sharing real-time purchase and engagement data, the agents automate returns, recommend products, and adjust loyalty points without handoffs, freeing agents for complex issues. The ability to see which marketing messages a customer has already received-and avoid collisions-also cuts down "why am I getting this email?" complaints that often clog the support queue.
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