你的客服团队到底需要几个人?

多数团队靠拍脑袋。估多了浪费人力成本,估少了客服被压垮、顾客流失。 填入真实工单量,你就能拿到一个在预算会上站得住的区间 —— 以及一个诚实的结论:在你目前的业务量级下,AI 自动化到底值不值得买。

无需注册,无需留邮箱。每个假设都可以改。而且当自动化并不划算时, 这个工具会直接告诉你不要买。

Sets handle time and the realistic automation ceiling.

Order status, returns, shipping, payment issues

3,000
8 min

Time an agent actually spends per ticket, including wrap-up.

$26

Wages + benefits + supervision + seats. Not the bare hourly rate.

8h

If you automated support

50%

Capped at 62% for this industry.

$0.65

How Intercom Fin, Gorgias and Zendesk actually bill — typically $0.55-$1.20.

$1,500
12 mo

Nobody cuts 20 agents the week automation ships. Savings accrue via attrition.

Automation pays for itself

Agents you need today

2–3

$8,286 – $12,429 / month fully loaded

After automation

1

1 head removable · 1,500 tickets / mo still reach a human

Platform cost
$975/mo
Net monthly
+$3,168
Payback
0.8 mo
Year-1 return
2.8x

Why we reached that conclusion

  • 0.8-month payback and 2.8x first-year return on a 975/month platform fee.

Not sure whether the paid report is worth $49 to you?

Leave the number instead of the invoice. A person will look up teams like yours — 3,000 tickets in ecommerce — and tell you straight whether it is. The public benchmark tables are already free, so this is not a way of buying something you can read.

Share this with your team

Support sizing: 3,000 tickets/mo at ~8min avg handle time needs ~2-3 agents ($8,286-$12,429/mo fully loaded). Automation: 0.8mo payback, 2.8x year-1 return, $3,168/mo net.

为什么这个测算值得信

它会劝你别买

每月工单低于约 400 条时,结论是「不值得」。 不会为了促单而反着说。

它会压住你的乐观

填 90% 自动化覆盖率会被限制在 62% 的行业上限,并解释原因。 漏算升级工单,是这类项目最常见的失望来源。

所有常数都公开

每个数字和公式都列出来,怀疑的人可以逐条反驳。 藏起假设的测算器就是销售宣传页。

常见问题

多久回本?

工具会直接给出回本月数。真正的 AI 客服平台按「每次自动解决的工单」计费, 而不是按坐席席位计费——按席位收固定月费会算出离谱的回报率, 那种数字一眼假。

能不能砍人?

不能马上砍。节约会通过人员自然流失分阶段体现, 补偿金作为一次性成本单独计算。工具默认就是这么算的。

这个数据怎么用?

复制链接即可把当前这套参数分享给别人,链接里带着全部参数, 对方打开看到的是和你完全一样的结果。