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    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.

    Client project · client anonymized (confidentiality) · project from 2025

    • Python
    • OpenAI API
    • PostgreSQL
    • PHP middleware
    • PDF generation
    • Email automation
    > 75%
    time and cost savings compared to manual analysis
    our estimate
    24/7
    automatic operation on a fixed schedule
    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

    By our estimate, 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 — both created and sent automatically. Both workflows run automatically on a fixed schedule. 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.

    04 · Workflow

    1. WEEKLY: Competitor stores (freely definable), Analyze prices (Python + OpenAI API), Price comparison (with own prices), Email report (compact, structured), PostgreSQL (price history)
    2. MONTHLY: Rankings (Google and other search engines), Comparison (competitors and own store), PDF report (comprehensive)
    3. Team: gets the reports automatically
    Two processes run automatically on a schedule: every week the workflow compares the prices of freely definable competitor stores with the client's own and sends a compact summary by email. All price changes end up in a PostgreSQL database. Every month a PDF report on competitors' rankings compared with the client's own store is produced.

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