90%
“Kingfisher's GBS cuts SAP invoice indexing time by 90%”
As published on rossum.ai, March 2026. Captured by usedby on Oct 8, 2026.
What happened
Kingfisher's Global Business Services unit in Poland uses Rossum to extract data from supplier invoices, both PO-backed and non-PO, across six European countries. Extracted data is exported to RPA bots that index the invoices in SAP, replacing manual data entry.
Summary written by usedby from the source page, in English. The figures are those of Rossum and Kingfisher, not ours.
- 60%“60% touchless data extraction, with invoices requiring zero manual intervention before they reach SAP for further processing”
- 79%“79% of fields are read automatically with high accuracy, reducing data entry time by four-fifths”
- 21 seconds“21 seconds average annotation time for invoices requiring review or correction.”
Thanks to the automated workflow, the GBS cut the invoice indexing time from 5 minutes to 25 seconds on average and was able to relocate 14 FTEs to further activities in invoice processing tasks.
Rossum learned quickly and now reads 79% of fields automatically, and we have complete trust in the data it extracts. That means 80% less manual work for our accountants, so the team can focus on vendor queries, exceptions, and higher-value work instead of just typing data all day.
What the story claims, and what we checked
We compared the story with its live page on Oct 8, 2026.
- The figure: 90%CheckedPrinted word for word on the page, near the name of Kingfisher.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Kingfisher.
- The publication dateCheckedRead from the page’s own metadata, never guessed.
- Kingfisher uses RossumCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




