Case study · E-commerce
14+ hours saved every week
The challenge
An online retailer manually matched thousands of supplier products to their catalog — slow and error-prone.
What we built
A custom machine-learning model that matches and enriches product data automatically, with human review only on low-confidence cases.
The result
The team reclaimed 14+ hours per week and improved catalog accuracy at the same time.
The team reclaimed 14+ hours per week and improved catalog accuracy at the same time.
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