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BrazilConsumer goods2024 – ongoing

Natura

Busca Inteligente AI product search for beauty consultants

Natura's AI product search served over 1 million consultants and added related products to 99% of searches, per AWS

WorkingVendor case studyVendor ↗

Problem

Natura's old search matched exact terms only. A consultant who typed a term without an exact match got no results, and a character cap on product names hurt searches for abbreviated product records.

Approach

Natura built Busca Inteligente on AWS in about one month. Amazon OpenSearch Service handles phonetic, vector and text search, and Amazon Bedrock generates tags that link products to related terms. The first release reached 5% of the sales team and was then opened to all consultants in Brazil. Natura plans to extend it to apps and consumer platforms.

Results

99%share of searches with related products added to the results, per AWSVendor case study[1]
under 50 millisecondstime to complete a query, per AWSVendor case study[1]
approximately 400searches per minute every day, per AWSVendor case study[1]
over 1 millionconsultants served, per AWSVendor case study[1]

Takeaway

Using a language model to tag products fixed the exact-match problem without rebuilding the product catalogue. Natura was still working on measuring whether results lead to carts.

Categories

Business function
Marketing and sales
Innovation type
Process innovation
Evidence
Vendor case study

Sources

Source summaries

[1]Amazon Web Services2024

The AWS case study describes Natura's search service built on OpenSearch, Bedrock and Lambda. It gives search volume, speed, the share of searches with related products added, and the number of consultants served. The page shows only the year 2024 as its date.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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