Back to: AI & Chatbots for CX
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Case Study: Sephora’s AI-Powered Virtual Artist
Sephora’s chatbot solves a critical pain point: shade matching. Customers upload a selfie, and AI recommends foundation shades with 90% accuracy. The bot also books in-store appointments for consultations. Result: 11% increase in bookings and a 25% reduction in product returns.
Best Practices for AI Implementation
- Hybrid Human-AI Workflows: Use bots for routine tasks (e.g., tracking orders) but escalate complex issues to humans.
- Proactive Engagement: Delta’s AI predicts flight delays and texts rebooking options before customers notice. This cut inbound calls by 30%.
The 4 Pillars of Omnichannel CX
- Unified Data: Centralize customer profiles (e.g., Nike’s membership app tracking online and in-store purchases).
- Contextual Handoffs: If a chat bot can’t resolve an issue, send the conversation history to a human agent.
- Consistent Branding: Use the same tone/design across email, app, and store.
- Real-Time Updates: Domino’s Pizza Tracker works identically on mobile, desktop, and smartwatches.
Pitfalls to Avoid
- Over-Automation: 62% of customers still prefer humans for sensitive issues (e.g., billing disputes).
What’s Next
Evaluate 20+ digital interactions (e.g., website load time, chatbot responsiveness).
Rate each touchpoint on a 1–5 scale for usability and emotional impact.
