How It Looks
Screenshots of the workflow and live Telegram alerts.
A growing retail business was tracking stock manually across spreadsheets and memory. There was no way to know in real time when inventory dropped, when something sold faster than expected, or, critically, when numbers didn't add up. By the time discrepancies were noticed, the loss had already happened.
I built an automated monitoring layer that sits on top of the business's existing sales data and watches it 24/7, no dashboards to check, no manual reviews. The moment something needs attention, it lands directly in the owner's Telegram.
Every sale and stock update is captured automatically as it happens in the existing system.
An n8n workflow processes the data continuously, comparing it against expected stock levels and sales patterns.
When stock runs low, a product trends unusually, or a transaction looks suspicious, the system flags it instantly.
The owner gets a clear, actionable alert on Telegram, what happened, what product, and what to do next.
A daily summary report rounds up best sellers, low-stock items, and anything flagged that day.
Screenshots of the workflow and live Telegram alerts.
StockMind caught approximately $150 worth of stock loss before it wiped out the business flagged automatically, with zero manual checking required.