Engaging Users to Generate Hyper Relevant Content

Empowering consumers' decision-making process while fostering deeper loyalty, affecting retailers' bottom line

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Why it works

StylelQ takes color samples from significant, pre-defined areas of the face
Exact color temperatures of all samples are evaluated and the correct color profile allocated for each user
StylelQ identifies the accurate face shape mix and proportions
Resulting from this process is a solid Style Profile reflecting the user's authentic Style Persona
Based on the user's Style Profile, StylelQ now identifies this user's most relevant apparel products from the retailer's assortment
Guiding users instantly towards relevant product drives conversions and prevents premature termination of the shopping experience

As online eyewear retailers are struggling to display relevant product to first time customers, AI comes to their rescue

Fashion shoppers are right to expect more than personalized content

Experienced shop assistants can increase conversions and reduce returns. Artificial advice will catch up, ultimately.