Client Data Reliability
The client repository in SAP had accumulated years of manual entries: duplicates, approximate addresses, inconsistent formats. This tool cleans the data from a simple export. The AI does the tedious detection work, but a human always validates before anything is updated, so data quality stays under the team's control.
Impact chiffré
data accuracy reached
up from 70% before the project
of errors corrected
checks per year
automated weekly workflow
of work left per week
down from several hours for the order management team
Business value
Fewer wrong-address delivery errors, less manual rework in order management, reliable data for segmentation and reporting
Who it's for
Order management and supply chain teams
Who it helps
Sales reps, logistics and customer service working with unreliable client records and spending time fixing downstream errors
Input
Raw SAP client repository export: duplicates, typos, inconsistent address formats
Output
Cleaned, deduplicated, team-validated repository ready to reimport into SAP
How it works
Order management team
Exports the repository from SAP
Raw CSV file
Uncleaned data: duplicates, typos, inconsistent formats
Reliability engine
Analyses the file and proposes corrections
- ·Duplicate detection across records
- ·Field error correction
- ·Format standardisation
- ·Reliability score per record
Human validation
The manager reviews and validates corrections
- ·Quality report review
- ·Human arbitrates ambiguous cases
Reliable repository in SAP
Clean data reimported into the business system
- ·Fewer delivery errors
- ·Less manual rework in order management
Stack