Fetch Consolidates AI Tools and Saves 30% Development Time with Hugging Face on AWS
xecutive Summary
Fetch, a consumer rewards company, developed about 15 different AI tools to help it receive, route, read, process, analyze, and store receipts uploaded by users. The company has more than 18 million active monthly users for its shopping rewards app. Fetch wanted to rebuild its AI-powered platform and, using Amazon Web Services (AWS) and with the support of AWS Partner Hugging Face, moved from using third-party applications to developing its own tools to gain better insights about customers. Consumers scan receipts —or forward electronic receipts— to receive rewards points for their purchases. Businesses can offer special rewards to users, such as extra points for purchasing a particular product. The company can now process more than 11 million receipts per day faster and gets better data.
https://huggingface.co/blog/fetch-eap-case-study
xecutive Summary
Fetch, a consumer rewards company, developed about 15 different AI tools to help it receive, route, read, process, analyze, and store receipts uploaded by users. The company has more than 18 million active monthly users for its shopping rewards app. Fetch wanted to rebuild its AI-powered platform and, using Amazon Web Services (AWS) and with the support of AWS Partner Hugging Face, moved from using third-party applications to developing its own tools to gain better insights about customers. Consumers scan receipts —or forward electronic receipts— to receive rewards points for their purchases. Businesses can offer special rewards to users, such as extra points for purchasing a particular product. The company can now process more than 11 million receipts per day faster and gets better data.
https://huggingface.co/blog/fetch-eap-case-study
huggingface.co
Fetch Consolidates AI Tools and Saves 30% Development Time with Hugging Face on AWS
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