✕ Manual data reconciliation across different systems
Employees spent an excessive amount of time processing unstructured texts from complex documents, which were often up to 300 pages long.
✕ Common mistakes in data processing led to inefficiencies
High accuracy requirements under tight deadlines led to frequent errors and missed opportunities. Up to 30% of companies were disqualified from tenders due to errors.
✕ Fragmented and inconsistent data formats
Although GAEB formats are increasingly being used, many documents remain in inconsistent PDF formats, making manual allocation tedious.
✕ Scaling issues as data complexity grows
The lack of structured training data initially hindered the use of machine learning models.
