Distributors often receive Price Data Files in spreadsheets that are prepared by individual suppliers. This means that the files do not adhere to any single standard, but can be expected to have varying column names, formatting and structure.
While the underlying data is the same, the diversity in structure makes it a challenge to compare and analyze this data.
Distributors therefore try to bring Price Data from all the different files into a single standard format that they can work with. However, this effort is usually a manual process, because a simple script cannot handle subtle differences in column names or unexpected changes in layout.
dataX.ai can automatically map diversely structured Price Data into the given Master template. We can handle changing layouts, columns names, non-standard structures and do it at scale!
Using fuzzy matching models combined with LLMs, we are able to intelligently detect patterns based on abbreviations, synonyms, contextual similarity and custom rules.
The result is that distributors can have Price Data received from multiple sourced mapped to a single Master Price Template. This allows for viewing and analyzing any amount of data from multiple suppliers without any manual effort.
With dependable automation, distributors can save hours of manual mapping effort. Our solution can quickly adapt to new supplier data, so you don’t have to worry about factoring in new effort for new businesses. What this also means is that you can effectively scale your product data processing without added effort, or any loss of accuracy.
