KazakhstanRetail and e-commerce2026 – ongoingMonAmie
Personalized online shopping recommendations
MonAmie increased ecommerce revenue and average order value by 14% with personalized recommendations
Problem
MonAmie's website showed every visitor the same recommendations. Its engineering team lacked the machine-learning expertise to personalize them.
Approach
The retailer adopted Amazon Personalize with implementation support from Softprom and technical guidance from AWS. It loaded customer profiles and purchase histories to recommend products based on preferences and segment shoppers by product attributes.
Results
Takeaway
MonAmie's adoption depended on external implementation support because its own engineers lacked the required machine-learning expertise.
Categories
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS reported that the Kazakhstan beauty retailer introduced personalized recommendations with Softprom's support. Ecommerce revenue and average order value each increased by 14%. The page carries no date; the Internet Archive first saved it on August 25, 2026.
Full details are in the original sources.
