Large retail organisations manage a constant flow of new product information from multiple internal and external stakeholders. Product data often arrives via email in spreadsheet formats that require manual review, correction, and follow-up, creating delays and increasing the risk of errors.
This use case enables the automated validation of incoming product data at the point of entry. Product information is checked for completeness, accuracy, and common errors, with straightforward issues corrected automatically and more complex cases returned to the sender with clear guidance.
By reducing manual validation work, product information teams can focus on higher-value tasks, improve data consistency across systems, and speed up product onboarding across multiple business areas.
Key Features
- Automatically review incoming product data from email and spreadsheet submissions
- Validate product information against defined data quality rules
- Identify common errors and missing information early in the process
- Correct simple issues automatically where possible
- Return incomplete or incorrect submissions with clear instructions for correction
- Reduce manual handling and repetitive administrative work
Future Expansion
The use case can be extended to support additional data sources, higher submission volumes, and more advanced data quality checks as product assortments and business areas continue to grow.
