Gladly’s founding idea challenged the dominant ticketing metaphor in customer service: what if support was organized around the person, not the ticket number? In Gladly, every interaction a customer has ever had – email, phone, SMS, chat, social – appears in a single continuous conversation thread, regardless of channel or date. No ticket numbers. No asking customers to reference case IDs. Agents see the full person. Customers don’t have to re-explain their history. Used by brands like Ralph Lauren, Warby Parker, and Tory Burch, Gladly has validated its approach in premium retail where customer relationship quality matters alongside efficiency.

Gladly’s core innovation is the conversation timeline – a single, continuous thread showing every interaction a customer has had across all channels, chronologically. Email conversations, phone calls, SMS exchanges, chat sessions, and social media interactions all appear in one view without channel-switching. When a customer reaches out, the agent sees every previous interaction – what they bought, what they asked about, what was resolved, what was not – before saying hello. For brands where relationship continuity matters, this eliminates the frustration of explaining context repeatedly.

Gladly’s AI Hero Agent handles routine customer inquiries automatically – order status, shipping tracking, returns initiation, account updates – without routing to human agents. The AI draws on the customer’s complete history and connected data sources (Shopify orders, account records, past interactions) to personalize responses. When inquiries exceed the AI’s capability, conversations seamlessly transfer to human agents with full context preserved. For retail support teams with high volumes of routine inquiries, AI deflection directly reduces agent workload.

Gladly’s customer profile aggregates data from connected systems alongside conversation history – order history from Shopify or Magento, loyalty program status, shipping preferences, product categories purchased, and custom attributes from any connected source. The profile appears alongside every conversation – agents have complete context without switching to separate systems. For retail brands, the customer profile transforms support from a reactive cost center to a relationship touchpoint where agents can make proactive, informed decisions.

Gladly’s revenue attribution connects customer service interactions to subsequent purchases. When a customer contacts support and makes a purchase within a defined attribution window, the interaction is credited. Reports show which service touchpoints – specific agents, channels, or interaction types – correlate most strongly with post-interaction purchase behavior. For brands that want to measure service as a revenue driver rather than purely as a cost, this attribution data provides the evidence base for that argument.