What gets automated immediately:
- ✓ 80% of repetitive order tracking, sizing, and shipping FAQ tickets handled instantly.
- ✓ Daily morning sweep: orders, inventory exceptions, and ad spend compiled before you wake up.
- ✓ Content draft generation and social publishing cadence queued automatically.
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Claim your free operation review & teardown →How to read this number
This calculator estimates the hours a solo operator spends on two categories most automation actually reaches today: repetitive support and inquiry handling, and the daily operational sweep (inventory checks, ad spend review, order exceptions). It applies a 75% automation rate to support hours and 80% to ops hours, which is roughly what a well-built AI cofounder eliminates once it is actually watching your store daily, not everything, since some support and ops work genuinely needs a human judgment call. The dollar figure converts the hours saved into your own stated hourly rate, so it reflects what your time is actually worth to you, not a generic industry benchmark.
A worked example
A founder spending 8 hours a week on support tickets and 6 hours a week on the daily ops sweep, valuing their own time at $100 an hour, is looking at roughly 47 hours a month back once that work is automated, which works out to about $56,400 a year in recovered time at that rate. The number moves a lot with the hourly rate input specifically, which is worth being honest about: if you would spend that reclaimed time on billable client work or building the business, use your real rate. If you would spend it resting or with family, the number still matters, it just isn't a revenue projection, it's the size of the trade you're currently making.
What to do with a number that looks too good
If the output feels inflated against what your week actually looks like, the honest fix is to lower the two hour inputs to match your real week, not the number that sounds impressive. The calculator is a starting estimate for the conversation, not a guarantee: the real number depends on which specific tasks in your operation are pattern-based enough to automate safely, and that only becomes clear from an actual audit of your store's daily operations, not a four-input form. If support and ops genuinely already run lean, the bigger opportunity may sit elsewhere in the funnel; theStore Funnel Health Scorecard checks that instead.
Where the hours actually go
On most solo Shopify operations, the support hours break into a small set of repeatable questions: where is my order, does this come in another size, can I change my address before it ships. None of these require judgment once the pattern is recognized, which is why they automate cleanly. The ops hours break down similarly: checking inventory levels against incoming orders, scanning ad spend for anything that spiked overnight, reviewing exceptions like a failed payment or a flagged fraud order. The work that resists automation is the small remainder in both categories: an angry customer who needs a real human response, or a genuinely unusual inventory decision that needs judgment, not a rule. A well-built system routes the pattern-based 75 to 80% straight through and surfaces only the remainder for a founder's actual attention, which is the whole point: not zero hours, fewer hours spent on the part of the job that was never worth a founder's time in the first place.
For the full breakdown of where these hours typically come from on a solo Shopify operation, seehow many hours a week running a Shopify store actually takes. If the leak is ad spend rather than operator time, theBreak-Even ROAS Calculator runs the same kind of real-numbers math on your ad economics instead.