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AI bookkeeping for store owners in LINE — $1.4K MRR
Zendai is an AI bookkeeping assistant for store owners that works inside LINE. Its $1.4K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.
What it actually sells
Zendai is AI bookkeeping software and an assistant for store owners using LINE. It records income and expenses through LINE chat, reads slips from photos, and answers questions about a store's numbers.
Users can ask about today's sales, this month's profit, or their biggest expense in plain language. Zendai schedules daily summaries in LINE, supports staff permissions, exports records to Excel or PDF, and lets users see and edit what it remembers.
How it charges
The pages we read do not state a price, and no currency amounts appear on those pages.
Month by month
Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.
| Month | Revenue (USD) |
|---|---|
| 2025-10 | $391 |
| 2025-11 | $701 |
| 2025-12 | $1,150 |
| 2026-01 | $827 |
| 2026-02 | $1,286 |
| 2026-03 | $871 |
| 2026-04 | $1,343 |
| 2026-05 | $656 |
| 2026-06 | $871 |
| 2026-07 | $1,243 |
| 2026-08 | $1,928 |
| 2026-09 | $1,508 |
Where customers come from
The visible distribution signal is LINE. Users can add Zendai as a friend on LINE and start recording right away, with no extra app to install. The listed audience is B2B.
What stands out
Zendai keeps bookkeeping inside the LINE chat users already use every day. It accepts transfer slips, receipts, paper bills, and non-receipts from photos, then books them in one message.
The product also answers questions from the store's own numbers and sends scheduled daily summaries into LINE. Store owners and their staff can use staff permissions, exports, and persistent store rules.
From the official site
Meet Zendai, the AI assistant that keeps your store's books in LINE.
Today's sales, this month's profit, your biggest expense. Ask in plain language and Zendai answers from your store's real numbers.
Excerpts from the official website, fetched October 1, 2026.
Where it sits in the data
Zendai's $1.4K MRR is higher than 79% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Customer Support” category (188 projects) it is higher than 73% (category median $274). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.
Currency
All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.
Could you build something like this?
My view is that this needs real work. The buyer is a store owner or staff member who wants bookkeeping records and store questions handled in a chat surface. Distribution would come from making the assistant discoverable and usable inside LINE, including the add-as-friend flow and the no-extra-app experience.
The hard parts in general terms are reliable reading of financial documents, keeping answers connected to each store's records, permissions, exports, scheduled summaries, and ongoing support. A new version would also face competition around accounting software and AI assistants.
Verdict: Needs real work.
One thing to take from it
My view is that Zendai's clearest product choice is to put a narrow bookkeeping workflow inside an existing chat surface. For a founder, the lesson is to identify the exact user and the place where the work already happens before choosing the technology.
Sources
- Zendai official website, fetched October 1, 2026
- Zendai pricing page, fetched October 1, 2026
- TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026
Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure