Fetch Cuts AI Development Time by 30%
Key point
Fetch built its own AI models using Hugging Face and AWS to improve receipt processing efficiency and shorten development time.
Details
Consumer rewards company Fetch built its own AI platform using Hugging Face and AWS instead of existing third-party AI solutions to process over 11 million receipts every day.
The previous 'black box' approach of external solutions made it difficult to gain fine-grained control and insights into the data, but building its own models enabled precise analysis of customer data.
With technical support from the Hugging Face Expert Acceleration Program, Fetch used Transformers models to train Document AI models and improve Entity Resolution and semantic search capabilities.
As a result, the project—originally expected to take 12 months—was completed in just 8 months, cutting development time by about 30%, and enabling faster and more accurate data extraction.
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