ecommerce_ops · ecommerce · workflow

Amazon Health Services improves healthcare discovery on Amazon.com using AWS ML and generative AI

Healthcare queries on Amazon.com involve complex relationships between symptoms, conditions, treatments, and services that traditional ecommerce product search was not designed to handle, requiring sophisticated medical terminology understanding to connect customers with relevant healthcare offerings.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer submits health search query
A customer search query arrives seeking a health-related topic on Amazon.com.
Tools used
Amazon SageMakerAmazon BedrockAmazon EMRAmazon AthenaFAISSAmazon S3PySpark
Outcome

The solution now runs daily for health-related search queries, connecting customers with medically vetted healthcare offerings alongside other products. Building at scale with generative AI avoided costs that otherwise would have required orders of magnitude more financial budget.

What failed first

Existing search algorithms optimized for physical products could miss service-based healthcare offerings, potentially failing to surface One Medical primary care or virtual physical therapy results for health condition searches.

Results
Cost replacedorders of magnitude more financial budget
Source

https://aws.amazon.com/blogs/machine-learning/learn-how-amazon-health-services-improved-discovery-in-amazon-search-using-aws-ml-and-gen-ai?tag=soumet-20

How we source this →

Grounding & classification
Source type: technical build writeup
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data extractionenterprise searchknowledge searchragknowledge baseproduct catalogfailure mode describedhuman review describednamed customerproduction runtime claimedtools describedworkflow describedecommercehealthcarecost reductiontechnical build writeupecommerce opsdata sync enrichmentextract classify routerag answering