Human support costs $7 to $12 per ticket. Gorgias charges you that whether a human or their AI touches it. EvoAI charges a fraction of that per resolution. If the AI doesn’t resolve it, you don’t pay.
The math is straightforward. Here’s what it looks like at different scales.
The baseline: what you pay today
Fully loaded cost per ticket (salary, benefits, tools, overhead) usually lands between $8 and $15. Call it $12 to be conservative. A store doing 2,000 tickets a month spends $24,000. At 10,000 tickets, that’s $120,000. At 25,000, you’re at $300,000. And that’s before revenue lost to refunds that could have been exchanges.
Most support tools don’t reduce that cost. They route and prioritize. The tickets still need humans. The cost stays.
What EvoAI costs
Per-resolution pricing with volume tiers — the more you resolve, the lower the per-ticket cost. Resolution means the ticket is actually resolved. Return processed. Refund issued. Exchange completed. If the AI escalates to a human, you don’t pay for that ticket. Request a demo for exact pricing.
93% of tickets get resolved without human touch. So for every 1,000 tickets, you pay for roughly 930 resolutions. The other 70 escalate. No charge.
Store size: 2,000 tickets/month
Before: ~$24,000/month ($12/ticket). Two to three agents. Most time on returns, tracking, policy questions.
With EvoAI: 1,860 resolutions at per-resolution pricing. One to two agents freed. Support cost drops dramatically — EvoAI plus a small team for escalations.
Savings: Significant monthly reduction. Add revenue recovered from exchanges instead of refunds. A typical D2C brand recovers 15–25% of what would have been refunded. Conservative estimate: thousands per month in retained revenue.
Total impact: Major monthly savings. Payback: first month. Probably first week.
Store size: 10,000 tickets/month
Before: ~$120,000/month. Four to five agents. Queue never empties.
With EvoAI: 9,300 resolutions at volume-tier pricing. Support cost with two agents for escalations drops to a fraction of what you were paying.
Savings: Massive monthly cost reduction. Plus recovered revenue from exchanges, upsells during support — proportionally larger at this scale.
Total impact: Six-figure annual savings. Payback: days.
Store size: 25,000 tickets/month
Before: $41,000/month in support cost (eight agents, tools). $0 from support (refunds only).
With EvoAI: 23,250 resolutions at the deepest volume tier. Two agents for escalations. Total support cost drops dramatically.
Savings: Tens of thousands per month. Revenue recovered from exchanges, upsells, and cart recovery during support conversations adds substantially more.
Total impact: Nearly seven figures annually. Payback: first week.
Why the payback is so fast
You’re not replacing humans with a fixed monthly fee. You’re paying per resolution. Low volume month? You pay less. High volume? You pay more, but your savings scale faster. There’s no large platform fee to overcome before you see ROI. The first resolution that would have cost you $12 in human time costs you a fraction of that. You’re ahead immediately.
The other factor: revenue recovered. Most ROI calculations only look at cost savings. They ignore the exchange vs. refund problem. A customer says “I want to return this.” A human issues a refund. An AI that sees order history and browsing data might offer an exchange instead. Same customer. Same words. Different outcome. One is revenue lost. One is revenue retained. EvoAI is built on commerce data, so it can make that call. Smaller stores see proportionally less, but the mechanism is the same.
Comparison: EvoAI vs. Gorgias
Gorgias charges per ticket. Including tickets their AI handles. So you’re paying for automation and still getting billed per ticket. Your cost goes down only if you cut agents. The ticket volume billing doesn’t shrink.
EvoAI charges per resolution. Resolved = paid. Escalated = not paid. Your invoice tracks outcomes, not traffic. The incentive is aligned: we make money when we resolve, not when we process.
| Gorgias (typical) | EvoAI | |
|---|---|---|
| Unit | Per ticket | Per resolution |
| Cost | $7–12/ticket (human) + platform | Fraction of that per resolution |
| AI-handled tickets | You still pay | No charge if escalated |
| Revenue from support | Refunds only | Exchanges, upsells, recovery |
The low-risk part
No monthly minimum. No annual contract for the base plan. You pay when it works. If it doesn’t resolve, you don’t pay. That means trying it is low risk. Worst case: you run a 30-day parallel test, resolution rate is lower than expected, you pay for what got resolved and stop. Best case: you’re saving six figures a year by month two.
Most stores see results in the first week. Returns get processed. Tracking gets pulled. Exchanges get offered instead of refunds. The numbers in this post are based on 93% auto-resolution across 900+ Shopify stores. Your mileage will vary. But the structure of the math holds: per-resolution pricing at a fraction of $7–12 per ticket creates a wide gap. You don’t need 93% to be ahead. You need something north of 20%. Above that, you’re saving money. Above 50%, the savings get serious. At 93%, support stops being a cost center.
Run your own numbers
We built an ROI calculator so you can plug in your ticket volume, cost per ticket, and agent count. It spits out annual savings, revenue uplift, and payback period. Takes two minutes.
Or book a demo. We’ll pull your actual Shopify data and show you what resolution would look like on your real tickets. No test data. No slides. Your store. Your numbers.