A boutique e-commerce store selling clothing and accessories faced challenges in handling customer inquiries efficiently. With limited staff, response times were slow, leading to lost sales and frustrated customers.
The business aimed to improve customer support, increase conversion rates, and enhance overall customer satisfaction without significantly increasing overhead costs.
• Answer frequently asked questions about products, shipping, and returns.
• Process order modifications and initiate refunds.
• Recommend products based on customer preferences.
• Escalate complex issues to human agents only when necessary.
• AI-driven sentiment analysis was used to identify and prioritize frustrated customers for immediate human intervention.
• The chatbot successfully handled 80% of customer interactions without human intervention, freeing up staff to focus on higher-value tasks.
• Response times dropped by 40%, leading to improved customer satisfaction.
• The store saw a 30% reduction in cart abandonment, as the AI chatbot proactively answered last-minute customer concerns before they left the site.
• Overall, revenue increased by 15% due to improved conversion rates.
