Website:
blynddata.com.au
Job details:
The problem
What they were dealing with.
The client managed product data across more than a hundred supplier PDFs with no consistent format, no central list, and no way to quote accurately. A project system update required bulk upload, and the existing data was nowhere near ready.
Outcomes
What changed.
- 8,000+Products structured and validated
- 100+Supplier tables extracted from PDF
- -87%Time spent looking up a product when quoting
- 7 daysFrom raw PDFs to upload-ready dataset
How we worked
Extract, generate, validate, load.
We extracted every product table from the supplier PDFs, normalised field names across formats, resolved duplicates, and validated the output against the import schema of the project system. The final dataset was structured for direct bulk upload, no manual re-entry required.
Where it is now
Where it sits now.
The inventory dataset is live in the project system and maintained by a small offshore team. New supplier catalogues are processed through the same pipeline as they arrive, keeping the data current without operational overhead.
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