From Cost Center to AI Profit Engine
Customer service is undergoing a structural redesign as companies adopt agentic AI customer service platforms that sell as well as support. Instead of measuring success by deflection and average handle time, brands are starting to track revenue influenced by every chat. Agentic AI systems differ from simple chatbots because they can interpret intent, take autonomous actions, and complete multi-step workflows, such as qualifying a lead or guiding a purchase from first question to checkout. This shift turns service channels into high-intent touchpoints where customers are already engaged and ready to act. When AI agents can recommend products, personalize responses, and escalate to humans only when necessary, they become always-on sales associates rather than static FAQ tools. The result is a new operational mindset: support is designed not just to reduce cost, but to generate growth, deepen loyalty, and create measurable, recurring value from every interaction.
Text’s Agentic AI Stack: LiveChat, ChatBot, and HelpDesk on Offense
Text, the company behind LiveChat, ChatBot, and HelpDesk, is leaning hard into this offensive strategy by embedding agentic AI directly into ecommerce workflows. Its new Shopify-native AI selling agents can monitor visitor behavior from the moment someone lands on a site, detect intent, proactively open a conversation, recommend products, and complete transactions within a single chat window. These agents are trained on a merchant’s product catalog, brand voice, and business rules, enabling autonomous customer support that doubles as a sales engine. Early deployments show that chatting with the AI agent can improve conversion rates to order by 266% and increase chat-attributed sales by 39% across a test group of nearly 600 ecommerce vendors, while traditional service inquiries still see a 74% autonomous resolution rate. Text is positioning these capabilities as a way for leaders to walk into boardrooms talking about new revenue and leads captured, not just tickets handled a few seconds faster.
Autonomous Customer Support That Sells, Not Just Solves
Agentic AI customer service tools like Text’s are designed to operate across the full lifecycle of a conversation, turning resolution agents into selling agents. Instead of passively waiting for questions, these AI systems can initiate outreach based on real-time behavior signals, such as browsing a pricing page or abandoning a cart. Once engaged, the AI can clarify needs, surface tailored offers, and guide customers through complex decisions, all while following structured workflows and business rules. If the situation requires nuance or negotiation, the agent can seamlessly bring in a human before frustration builds, preserving a premium, humanized experience. This model reframes automation as a way to restore the attentiveness of traditional brick-and-mortar service at digital scale. Companies that adopt this approach are discovering that the same AI responsible for a high resolution rate can also act as the brand’s best closer—operating continuously, learning from every interaction, and compounding its commercial impact.
DICK’S Coach AI: Conversational AI Coaching as Retail Differentiator
In retail, DICK’S Sporting Goods is applying agentic AI to athlete experience with Coach by DICK’S, a conversational AI coaching feature built into its mobile app. Rather than offering a basic product search, Coach AI acts as a digital extension of in-store experts, delivering tailored training guidance, product education, and gear recommendations based on each athlete’s sport, goals, interests, and preferences. Built using Adobe Brand Concierge and DICK’S proprietary content and sport knowledge, the system adapts in real time as athletes share more about their routines and challenges. This conversational AI coaching experience goes beyond transactional shopping to support longer-term performance journeys, positioning DICK’S as a trusted advisor rather than just a retailer. While the rollout begins within the core app, the company plans to expand capabilities over time, turning every mobile interaction into an opportunity for deeper engagement, smarter recommendations, and, ultimately, more confident purchase decisions.
From Reactive Support to Proactive, Revenue-Generating Journeys
Taken together, Text’s AI selling agents and DICK’S Coach AI show how autonomous customer support is evolving into a strategic growth lever. In both cases, agentic AI systems are entrusted with multi-step tasks: monitoring behavior, interpreting intent, delivering personalized guidance, and deciding when to close a sale or bring in a human specialist. This elevates service from a reactive safety net to a proactive, orchestrated experience that anticipates needs and unlocks new revenue. For ecommerce brands, that means service teams can directly influence conversion, average order value, and lead quality. For retailers with strong expert cultures, conversational AI coaching preserves human expertise while scaling it across digital channels. As organizations refine governance with tools like AI supervisors and structured skills, the next competitive frontier will be how effectively they fuse automation with human empathy to create service journeys that are both profit-generating and genuinely helpful.