01 · Personalization
AI Personalization
Personalized offers and product recommendations tailored to customer preferences - online and in physical stores.
Case study · premium fashion
AI personalization that lifted the basket at a premium fashion chain
For a premium fashion boutique chain, Persooa deployed a complete AI personalization program - from product recommendations and AI search, through email campaigns (including birthday emails), to a loyalty program and paid channel optimization - consistently online and in boutiques.
Client name kept confidential - the case is presented in anonymized form.
25%basket growth
17%increase in basket value
6%of transactions with recommended products
omnichannelonline + physical boutiques
Client
Premium fashion boutique chain
Area
AI Personalization & Marketing Automation
Segment
B2C · luxury fashion, e-commerce + boutiques
Technology
Synerise + Persooa (personalization & AI search)
Starting point
Rising personalization expectations in luxury
To meet customer expectations and online competition, communication and the offer needed to be tailored to individual preferences - consistently across every channel.
Growing customer expectations around personalization
Strong competition in the online channel
The need for a consistent experience online and in boutiques
Efficient processing of huge volumes of data
Using AI in marketing at the highest level
Tailoring the offer to individual customer preferences
Persooa's solution
A complete AI personalization program
We launched a set of AI mechanics that together increase conversion, basket value and loyalty - in e-commerce and in boutiques.
02 · Search
AI Search
Search results tailored to preferences - easier to find products and a higher chance of purchase.
03 · Email AI
AI-powered email marketing
Automated email communication - the right message at the right time, including personalized birthday campaigns.
04 · Loyalty
Loyalty program
Rewarding regular customers, building lasting relationships and encouraging more frequent purchases.
Phased rollout
From recommendations to loyalty and media optimization
1
Personalization and recommendations
Phase I
- AI personalization of offers and recommendations
- Menu recommendations (category + gender)
- AI search tailored to preferences
- Integration and processing of customer data
2
Automation and loyalty
Phase II
- Birthday emails with a code and gender-based creative
- Consent paths (email / web push / SMS)
- Cart recommendations (complementary products)
- Loyalty program building customer relationships
3
Optimization and scaling
Phase III
- Paid channel optimization (ROI)
- Results analysis and scaling of tactics
- Consistency online and in physical boutiques
- Development of personalization scenarios
Tactics deployed
Every mechanic lifts a specific metric
A set of on-site, email and loyalty scenarios that together built higher conversion and basket value.
Recommendations · menu
Menu recommendations
Hovering over a category shows 2 products matched to the category and gender. Personalized recommendations outperform bestsellers.
2 products / category
Recommendations · cart
Cart recommendations
Complementary products based on the cart context and other customers' transactions; size selection and last-item-in-stock information.
6% transactions with recs.
Email · birthday
Birthday emails
14 days before the birthday, an email with a code, creative depending on gender; a path with a reminder and a consent fallback (web push / SMS).
14 days before birthday
Search · AI
AI search
Search results tailored to customer preferences - faster product discovery online and in-store.
AI results personalization
Personalization · omnichannel
Personalized offers
Offers and recommendations tailored to the customer in e-commerce and in physical stores.
omni online + offline
Loyalty · program
Loyalty program
Rewards for regular customers that build a bond and encourage more frequent purchases.
loyalty customer retention
Media · paid
Paid channel optimization
Optimization of paid channel spend - higher efficiency and return on investment (ROI) in online advertising.
ROI ad effectiveness
Results
Measurable growth in basket size and conversion
25%
growth in basket size thanks to recommendations - while basket value grew by 17%, with 6% of transactions including recommended products.
Effects of recommendations and personalization
Basket growth25%
Increase in basket value17%
Transactions with recommended products6%
AI Personalization
Personalized offers and recommendations online and in boutiques.
AI Search
Results tailored to preferences - a faster path to purchase.
Birthday emails
Code and creative by gender, with a web push / SMS consent fallback.
Cart recommendations
Complementary products based on the customer's cart context.
Loyalty program
Building bonds and more frequent purchases from regular customers.
Paid media optimization
Higher efficiency and ROI in online advertising.
We activate AI in e-commerce and turn data into a higher basket, loyalty and measurable revenue growth - in a Human + AI model.
- Persooa · Revenue Growth Agent
Frequently asked questions
FAQ - AI personalization and marketing automation in premium fashion
What results did personalization bring at the premium fashion chain?
Recommendations and personalization delivered a 25% increase in the basket, a 17% increase in basket value, and 6% of transactions including products from recommendations. Personalized menu recommendations outperformed bestsellers.
What personalization mechanics were deployed?
AI personalization of offers and recommendations, AI search, menu and cart recommendations, personalized emails (including birthday campaigns), a loyalty program, and paid channel optimization - consistently across e-commerce and boutiques.
What did the birthday emails involve?
14 days before their birthday, the customer receives an email with a code, with creative depending on gender. If they don't make a transaction and have consent, they receive a reminder; without consent, web push or SMS consent is checked instead. Every message includes personalized recommendations.
How do the cart recommendations work?
The recommendations take into account the entire cart context and suggest complementary products chosen based on other customers' transactions involving the same products. The user can select a size and add a product directly from the recommendations, also seeing information about the last item in stock.
What does Persooa do?
Persooa deploys and activates AI in e-commerce - mainly on the Synerise platform - with a focus on a fast start and the first measurable effects within 90 days. We combine strategy, data and execution in a Human + AI model: personalization, marketing automation, AI search, loyalty and AI agents that translate into revenue growth.
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