What challenges did MonAmie face before AI implementation?

MonAmie's website showed the same product recommendations to every visitor, resulting in suboptimal conversion rates and weak customer retention. Its engineering team lacked the machine-learning expertise needed to build an in-house solution.

Source

Evidence: Medium50/100

MonAmie personalizes Kazakhstan beauty ecommerce with Amazon Personalize

Use case typeShopping recommendationsUpdated 3 days ago

MonAmie, a Kazakhstan beauty retailer, implemented Amazon Personalize to replace generic online product recommendations with personalized recommendations based on customer preferences and purchase history.

Organization: MonAmie
Industry: Retail
Location: Kazakhstan
Published: August 2026

Reported outcomes

Strategic outcomes

Innovation & cultureIncreased internal enthusiasm for modern technology adoption.

Planned next steps

The source says this outcome is planned: Plans an in-store facial-recognition personalization capability..

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Revenue: 14% increase

AWS Customer StoriesAug 20, 2026Customer storyInferred claimMedium evidence strength

MonAmie reported 14 percent increases in ecommerce revenue and average order value, and a 200 percent increase in users engaging with the recommendation section.

Normalized claim

Revenue: 200% increase

AWS Customer StoriesAug 20, 2026Customer storyInferred claimMedium evidence strength

MonAmie reported 14 percent increases in ecommerce revenue and average order value, and a 200 percent increase in users engaging with the recommendation section.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: MonAmie
Provider: AWS
Maturity: Unknown
Linked source: AWS Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Shopping recommendations
2Customer personalization

MonAmie's website showed the same product recommendations to every visitor, resulting in suboptimal conversion rates and weak customer retention.
Its engineering team lacked the machine-learning expertise needed to build an in-house solution.

MonAmie loaded customer profiles and purchase history from its online shop into Amazon Personalize datasets.
It implemented User-Personalization-v2 to recommend items based on user preferences and Item-Attribute-Affinity to create segments around product attributes such as fragrance profiles.
Softprom provided consulting and hands-on implementation support, with AWS providing technical guidance.

Technologies

Amazon Personalize

The implementation established a foundation for multichannel personalization and increased internal enthusiasm for modern technology adoption.

Sources & evidence1

Evidence: Medium50/100Evidence strength