Intuit
over 65 billion — Machine learning predictions generated
Independently reportedTechnology & software · Personalization · LLM · Scaled
Personalization
Zalando
Independently reportedRetail & e-commerceGermanyIn productionEnterpriseClassical ML
Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.
Reported by aiexpert.network (independent reporting). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
Improving user experience, boosting sales through personalized recommendations, and optimizing back-end operations in fashion retail.
What was deployed
- Products
- Algorithmic Fashion Companion (AFC)
- Technique
- Classical ML
- Build or buy
- Built in-house or to order
- Data used
- customer wish list, prior purchases, customer preferences, fashion landscape data, customer photos
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
increased by 40%basket sizes
“For example, the AFC has been a driver in increasing basket sizes by 40%.”
Quoted word for word from the source · round percentage, no baseline given
increase of 87%adjusted EBITQ2 2023
“Financially, the company’s Q2 2023 report showed a strong adjusted EBIT increase of 87%, partially attributable to its strategic focus on AI and technology.”
Quoted word for word from the source
Difficulties and limits
- AI’s inability to account for the influence of external factors like celebrities and social trends on customer preferences.
- data privacy concern as the company collects more personalized information from consumers.
- Zalando had to cut 250 marketing and communications professionals as AI increasingly automates these roles.
- AI’s inability to account for the influence of external factors like celebrities and social trends on customer preferences.
Sources
- aiexpert.network — independent reporting, 2023-09-23
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