08 · AI automation · E-commerce · Custom development
Automated competitor analysis
An international online store operator lost hours every week manually checking competitors' prices and rankings — expensive, error-prone and barely scalable.
- Python
- OpenAI API
- PostgreSQL
- PHP middleware
- PDF generation
- Email automation
- > 75%
- time and cost savings compared to manual analysis
- 24/7
- fully automatic operation — no manual intervention
- Weekly + monthly
- automatic reports by email and as PDF
01 · Problem
The client runs an international online store and depends on up-to-date market information: What prices are competitors charging? How are their search engine rankings developing compared to the client's own store? Gathering this information manually was extremely time-consuming and expensive — several staff hours per week, error-prone and, with a growing field of competitors, barely scalable anymore.
02 · Solution
vona built a fully automatic AI workflow based on Python and the OpenAI API. Every week, the workflow analyzes the prices of freely definable competitor stores, automatically compares them with the client's own prices and summarizes the results concisely — as a structured email report that lands straight in the inbox. All price changes are stored in a purpose-built middleware with a PostgreSQL database, so price trends can be traced over the long term. In addition, the workflow produces a comprehensive monthly PDF report on how competitors' rankings are developing in Google and other search engines — in direct comparison with the client's own store.
03 · Result
The client saves more than 75% of the time and cost previously spent on competitor monitoring. Instead of tedious manual research, the team receives an automatically generated price analysis by email every week and a complete PDF report on ranking shifts every month — without a single manual step. Both workflows run fully automatically around the clock. Price trends can be traced historically in the database, and decisions on the client's own pricing strategy can be made on a solid, up-to-date data foundation.
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