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A bot sends the shop owner a daily summary, while AI finds discrepancies in the numbers

Industry: Auto repair shopScale: 4 mechanics and a service advisor, records kept in ExcelTimeline: first stage in 7 days, running since MayCategory: AI assistants and agents
every daydaily summary for the owner and mechanic workload in the morning
Telegram + MAXreports arrive in both messengers
since Mayrunning, client extended it for a year
I need something similar

Before

  • Records were kept in Excel: the service advisor filled out the file every day
  • The owner needed a daily summary without manually collecting the numbers
  • The owner needed to see mechanic workload and remaining oil inventory

What we built

  • In the evening, the bot receives the daily Excel file and checks it against the plan
  • It sends the owner revenue, cash balance, daily and monthly targets, cars in the parking lot, and oil inventory with thresholds
  • In the morning, it sends mechanic workload from Google Calendar to the work group
  • AI analyzes anomalies, such as billed labor hours that do not match workload, and provides conclusions
  • The owner asks his ChatGPT questions about the numbers: the bot's data is connected to it

How it works

Daily Excel filefrom the service advisor
→
Check against planPostgreSQL database
→
AI analysisanomalies and conclusions
→
Owner reportTelegram and MAX, text and dashboard

Result

  • The first stage was delivered in 7 days and paid for
  • The client continued the project and paid for the next stages and a year of server hosting
  • The server is in Russia, the database is backed up daily, and a watchdog sends an alert if the service goes down

Technology

PythonaiogramPostgreSQLpandasAPSchedulerMAX Bot APIGoogle CalendarLLM via OpenRouterDocker
What matters in a project like this. A small business owner does not need another dashboard to open. He needs a short report in a messenger at the same time every day. Everything else he can ask the AI in plain language.

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