ROI Calculator

What does repetitive support cost your store?

Put your own numbers in. The calculator shows what WISMO, returns, order edits, and product questions cost in agent hours each month — and what an AI support agent with approved actions would take over first.

Run your numbers

Four inputs. Your repetitive support bill.

Use real figures from your helpdesk: monthly tickets, how many follow clear rules, average handle time, and the fully loaded cost of an agent hour. The result is the floor of what manual repetitive support costs you today.

Repetitive support cost estimate
Adjust the inputs to match your store
2,000
60%
8 min
$28
Repetitive tickets / mo
1,200
Agent hours / mo
160
Cost / yr
$53,760

That is roughly $4,480 per month spent on tickets that follow clear rules — the work an AI support agent with approved actions takes over first. The estimate uses your inputs only; a launch call maps it workflow by workflow.

Beyond the labor math

The calculator shows the floor. These raise it.

Agent hours are the visible cost. Slow replies, margin leakage, and lost orders are where repetitive support actually gets expensive.

Response-time drag

Pre-purchase buyers abandon carts while sizing, shipping, and discount questions wait in the queue.

Refund and reship leakage

Avoidable credits, duplicate reships, and unclear return paths quietly shrink margin every month.

Revenue saves

Fast, correct answers recover orders the slow queue loses — and the agent attributes them in your store.

Automation readiness

Clear policies, reliable order data, and clean macros decide how much of the cost an agent can take over safely.

How to build the case

Turn the estimate into a decision.

Keep the model simple enough to trust. Estimate the cost of today's repeat work, then rank the first automations by payback and risk.

01

List repeat workflows

Start with customer intents, not broad ticket tags. Identify the questions your team answers every day.

02

Estimate cost and drag

Multiply volume by handle time, then add response delays, QA, manager review, refunds, and reships.

03

Rank AI support fit

Prioritize workflows with clear policies, reliable customer data, and low edge-case risk.

04

Choose the first agent

Pick the workflow with the strongest payback and the least operational risk for your first launch.

What the model weighs

Cost, leakage, and payback — in that order.

Cost

Agent time, review time, and repeated replies from manual support.

Leakage

Refunds, reships, churn risk, and abandoned purchases from slow answers.

Payback

The first AI workflow with clear rules and measurable monthly savings.

ROI questions

What ecommerce teams calculate first.

The goal is not a perfect finance model. The goal is a clear decision on which support workflow to automate first.

How accurate is the estimate?

The calculator uses only your inputs: ticket volume, the repetitive share, handle time, and fully loaded agent cost. It is a floor, not a forecast — it leaves out refund leakage and lost revenue. A launch call maps the number workflow by workflow.

What should we include in agent cost per hour?

Use the fully loaded number: agent time, review time, management overhead, tool costs, and the extra replies caused by weak macros or incomplete answers — not just the hourly wage.

How do we estimate revenue saves?

Look at pre-purchase questions, discount issues, shipping questions, and subscription moments where a fast answer prevents abandonment or cancellation.

Which workflows usually pay back first?

WISMO, returns status, exchange guidance, order edits, discount questions, product FAQs, and subscription changes — they repeat daily and follow clear rules, so an agent can resolve them with approved actions.