Benchmark range
Lower bound: 12%. Median value: 28%. Upper bound: 46%.
Measurement period: 6 months.
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ROI benchmark
AI chatbots and automated routing reduce the volume of human-handled tickets.
Lower bound
12%
Median value
28%
Upper bound
46%
Lower bound: 12%. Median value: 28%. Upper bound: 46%.
Measurement period: 6 months.
Directional range inferred from cited public support-automation case studies. Treat it as an editorial planning range rather than an independently sampled industry median.
Cited sources: 3. Measurement period: 6 months.
Zendesk
Polywood reported a 30% deflection rate after deploying AI-powered support automation for customer questions.
Zendesk
END. reported a 41% ticket deflection rate, a 96% increase in zero-touch tickets, and a 41% drop in average handling time.
Zendesk
Playtomic reported roughly 83% deflection on its B2C channel after expanding AI-agent coverage across high-volume intents.
Explore Use Case
30-40% reduction in inbound ticket volume
Explore Use Case
30-40% reduction in inbound ticket volume
Explore Use Case
30-40% reduction in inbound ticket volume
Explore Use Case
30-40% reduction in inbound ticket volume
Explore Use Case
30-40% reduction in inbound ticket volume
Explore Use Case
30-40% reduction in inbound ticket volume
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30-40% reduction in time to find answers
Explore Use Case
30-40% reduction in time to find answers
Explore Use Case
30-40% reduction in time to find answers
Explore Use Case
30-40% reduction in time to find answers
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15-25% improvement in resolution time
Explore Use Case
15-25% improvement in resolution time
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