iFood
Get email alerts
New customer deployments for iFood, straight to your inbox. No account needed.
iFood has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
2
2
1
Hyperscaler mix
See whether iFood's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How iFood builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at iFood
Customer personalization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−40%
Cost savings
median · 1 metric
Medians of results published in iFood cases, normalized for comparability. See all benchmarks →
Technology snapshot
What iFood uses across visible cases
5 named technologies are mentioned across 2 cases, led by Amazon SageMaker.
Capability mix
No capability flags are attached to these cases yet.
Technologies mentioned
All Use Cases (2)
iFood: AI journey with AWS for personalization and fraud prevention
iFood, one of Brazil's largest delivery marketplaces, uses AWS generative AI to personalize the customer experience and support internal developer workflows.The company operates at very high scale, with more than 80 million orders per month across 330,000 partner establishments.iFood also applies AI-driven fraud prevention across the purchase flow, with users going through more than 100 AI models when buying through the app.
iFood uses Amazon Bedrock to build a virtual waiter and applies Amazon SageMaker for delivery improvements
iFood is a Latin American online food delivery platform serving more than 300,000 restaurants and millions of orders each month.The company established an internal AI team and uses AWS services to standardize implementations, improve customer experience, and support AI-driven innovation across ordering, delivery, and fraud prevention workflows.iFood built a virtual waiter named Garçon using Amazon Bedrock, including fine-tuning mentioned by the company, and uses Amazon SageMaker to improve delivery service-level agreements, bolster security, and enhance customer and restaurant experiences.The company also trains internal teams through AWS Training and Certification to build machine learning, architecture, and security skills.
Community
Comments
No published comments yet.
Ask the analyst
A question about iFood the page doesn't answer? I read every one — the good ones get answered here.