Questions in plain language
Questions are written in everyday language, for example how many cars were sold in November and what the profit was. Answers cover sales volumes, profit and trends.
Telegram AI data assistant for Vanguard
A GenAI chatbot in Telegram, connected to the company database of Vanguard, an automotive dealership. The team asks about sales and profit in plain language and gets answers with findings and recommendations.
About the client
Vanguard is an automotive dealership. Its sales and profit data lives in the company database, which records each deal with its type (cash or finance) and its front-end and back-end gross profit.
The challenge
Every question from management meant going through reports or asking staff to pull the numbers.
- Answering a simple question meant someone had to dig through the database
- Management had no quick view of sales and profit figures
- Insights depended on reports prepared by hand
What we built
The GenAI chatbot runs in Telegram and is connected to Vanguard's entire company database, so sales and profit questions are answered from the data itself.
Summary, findings and recommendations
Each answer opens with a short summary, followed by key findings and actionable recommendations, such as reviewing which models or deal types performed best.
In Telegram, on the team's phones
Questions can be asked from anywhere, as soon as a number is needed.
The results
Questions that used to go through reports or staff are now answered directly in the chat.
- Simple questions get an answer without anyone opening the database
- Management can look up sales and profit figures itself
- Each answer comes with findings and recommendations, not only the figures
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