Using DataVestigo for competitive analysis
One practical use of DataVestigo is competitive analysis. In this context, it’s not just about the analysis itself, but more importantly about collecting and preparing data on which you or your team can perform a detailed analysis. Our software will gather all the data you need and format it into a structured form, such as an Excel spreadsheet or JSON file allowing you to use it efficiently and easily in the future.
Case study: regular monitoring of construction material prices
In this case study, we helped a client with regular tracking of building material prices. Specifically, this involved tracking 50 different products, from building materials to tools, at 20 different competing vendors.
How was the monitoring done before using DataVestigo?
Prior to implementing DataVestigo, our client performed competitive analysis manually. This meant that every two weeks, an administrative staff member would manually browse 20 competing e-stores, search for 50 products, and transcribe their prices into Excel. This process took over 20 hours per month. After implementing Datavestigo, the client was able to save up to 85% in costs. In addition to the financial savings, the client was able to track prices more frequently, retrieve data faster, and process a greater volume of information.
How does monitoring work with DataVestigo?
With DataVestigo, the data acquisition process is much simpler. Simply insert links to 20 competing vendors with given products, define in common language what values DataVestigo should store, and run the program. Within minutes, you will get the results - the summary values from 20 sources of competing vendors in Excel. This process can easily be repeated for other products, and if the definitions of the required values do not change, just change the URLs and run the program again. This way you get all the data you need quickly and efficiently to analyze and react quickly to price changes in the market.
Extraction process with DataVestigo on a specific product example
- Definition of the required data: The client needed to obtain the following data from each competitor. (screenshot) You can see the definition of this data in the screenshot below.
- Data Source: In this case, it was 20 URLs of competitors with the product Weber 700 25kg adhesive and putty.
- Process Setup: After defining all the required information and specifying the sources, just select the AI model you want to use. Start the process with the button and in a few tens of seconds you will receive the result.
- Download Output. Integration with other systems is also possible to suit individual needs.
Advantages over conventional tools:
- Lower costs
- Simple and intuitive to use.
- Suitable for processing large amounts of data
- Definition of tasks in a common language without programming
- Faster data acquisition compared to manual processing
- Greater flexibility through the use of artificial intelligence, which understands the context and enables a wider range of applications