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"AI-driven fashion personalization for online shoppers."

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Intelistyle helps fashion marketers offer hyper-personalized recommendations online. Their AI-driven platform personalizes customer experiences with virtual try-ons and visual searches. This means more relevant product suggestions for visitors. By integrating styling features across platforms, Intelistyle increases conversion rates, basket size, and overall shopping satisfaction, without extensive photography costs.
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BlurbSTAR Case Study
Lane Crawford & Intelistyle
Intelistyle improved Lane Crawford's product search and sales.
case study
45%
Customers are 45% more likely to buy with personalized recommendations.
70%
70% of brands see a 2x conversion rate with AI solutions.
1.
Situation
Lane Crawford needed to refine product search and enhance the customer experience both online and offline, maintaining their luxury styling standards.
2.
Task
Integrate Intelistyle's AI-powered outfit and visual similarity recommendations to promote cross and up selling while adhering to brand guidelines.
3.
Action
Intelistyle incorporated context-specific styling recommendations via robust APIs, facilitating seamless integration into Lane Crawford's channels.
4.
Result
The personalized recommendations significantly improved product search and increased sales, maintaining the luxury aesthetic. Overall, Lane Crawford reported a more tailored shopping experience.
Keywords
AI-POWERED STYLING
PERSONALIZED CUSTOMER EXPERIENCE
CONTEXT-SPECIFIC STYLING
CROSS AND UP SELLING
LUXURY FASHION RECOMMENDATIONS
Personalized Styling Recommendations Q & A
Intelistyle hasn't answered their category questions yet.
1.
What is the average percentage of PDPs that show off an outfit across your customers?
Intelistyle has not completed their Blurbs FAQs
2.
How often do products in outfits go out of stock, and how quickly do they get swapped out?
Intelistyle has not completed their Blurbs FAQs
3.
Can you sprinkle in real-time personalization to tweak the recommendations on the fly?
Intelistyle has not completed their Blurbs FAQs
4.
How do you keep tabs on stock, and can you update outfits in real-time when something is sold out?
Intelistyle has not completed their Blurbs FAQs
5.
Can you spot when a product is lagging behind and give it a boost by featuring it in more outfits? How do you make sure this does not hurt overall revenue?
Intelistyle has not completed their Blurbs FAQs
6.
Can you make sure outfits only include products from the same warehouse or fulfillment center? What about prioritizing items from the closest warehouse to the customer?
Intelistyle has not completed their Blurbs FAQs
7.
Where does your tech plug into retailer infrastructure / backend / workflow / etc?
Intelistyle has not completed their Blurbs FAQs
8.
How do you keep certain brands separate and make sure outfits don’t mix and match brands, teams, or seasons that should not be blended?
Intelistyle has not completed their Blurbs FAQs
9.
Are you able to use a specific brands aesthetic vs the retailers aesthetic for certain outfits?
Intelistyle has not completed their Blurbs FAQs
10.
Can you detect when a product is performing behind plan and push that into more outfits?
Intelistyle has not completed their Blurbs FAQs
Intelistyle
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