Scaling Customer Support with AI

Customer support costs are spiraling out of control. With $62 billion spent annually in the US alone and customers expecting 24/7 instant responses, traditional support models are breaking. Here's how AI changes the game.

The Traditional Support Problem

Every 1,000 new customers requires:

• 2 more support agents ($100K-160K/year)
• 3-4 weeks training
• Quality varies 40% between agents
• 3x staff for 24/7 coverage

The result? Unsustainable costs and inconsistent experiences.

How AI Automates 70% of Support

AI handles the most common support categories automatically:

Order Management (25% of tickets)

• Instant tracking updates
• Delivery estimates
• Address changes
• Payment updates

Returns & Exchanges (20% of tickets)

• Eligibility checks
• Label generation
• Size recommendations
• Refund status

Product Questions (15% of tickets)

• Sizing guides
• Care instructions
• Stock checks
• Comparisons

Account Help (10% of tickets)

• Password resets
• Profile updates
• Subscription management
• Points balance

The 30% That Still Need Humans

For complex issues, AI supercharges your agents:

• Suggests responses (85% accepted)
• Translates 100+ languages instantly
• Provides full customer context
• Identifies upsell opportunities

Real-World Results

Allbirds

• Response time: 24 hours → 2 minutes
• 73% queries resolved by AI
• $1.2M annual savings
• 94% satisfaction maintained

Bombas

• 5x volume with same team size
• 68% automation rate
• 82% lower cost per ticket
• 4.8/5 satisfaction score

Implementation Timeline

Week 1: Analyze your support data and connect systems Week 2: Train AI on your specific products and policies Week 3: Start with 10% of tickets, monitor closely Week 4: Scale to 70% automation

The Business Case

• Cost reduction: 60% lower support costs
• Response time: Under 1 minute for automated tickets
• Availability: True 24/7 support in all languages
• Scalability: Handle 10x volume without 10x costs
• ROI: 5-8x return in first year

Start Your AI Support Journey

Leading brands are already automating 70% of support while improving satisfaction. Every day you wait means higher costs and frustrated customers. The technology is proven—it's time to implement.