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Qlode

Develop by Qlode.ai

$99-$799

/ Month
7 Days Free Trial

Personal AI stylist for shopping, enhancing style and boosting sales.

Size recommendation
Mix personal items
Search by vibe
Occasion-based outfits
Search by image
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About Qlode

Launched May 14, 2025

Categories

Search and filter

Built by Qlode.ai

Address

5 Cranberry Avenue, Bicester, ENG, OX27 8BD, GB

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Introduction Video

Description

AI styling assistant, that provides in-store like shopping experience and product discoverability.

Qlode isn’t just another widget — it’s your AI stylist, designed to guide shoppers to the user-tailored pieces for their style and occasion through a personalized journey that highlights more of items in SKU catalog. Discover: 🧩 Mix With User's Personal Item: Turn any product into a full outfit. 🔍 Search by Vibe: Let shoppers search by inspiration o or mood. 🎯 Occasion-Based Outfits: Serve looks for moments like “first date” or “city break.” More items per cart! Less guesswork. More sales!

Qlode isn’t just another widget — it’s your AI stylist, designed to guide shoppers to the user-tailored pieces for their style and occasion through a personalized journey that highlights more of items in SKU catalog. Discover: 🧩 Mix With User's Personal Item: Turn any product into a full outfit. 🔍 Search by Vibe: Let shoppers search by inspiration o or mood. 🎯 Occasion-Based Outfits: Serve looks for moments like “first date” or “city break.” More items per cart! Less guesswork. More sales! more
  • Mix With User’s Item Auto-style outfits, showing more SKUs and increasing AOV.
  • Search by Image & Text From Pinterest screenshots to “flowy dress,” find matches
  • Occasion-based outfits Show looks for real-life moments with help of live talks
  • Size Recommendation Suggests the user size based on customer data and stock

Pros

  • Personalized AI styling enhances user experience and boosts sales.
  • Mix with User's Item feature allows users to create full outfits easily.
  • Search by vibe lets users find outfits based on inspiration or mood.
  • Occasion-based outfits provide tailored suggestions for specific events like 'first date' or 'city break'.
  • Automatic size recommendation enhances customer satisfaction by suggesting appropriate sizes.
  • Increases Average Order Value (AOV) by displaying more SKUs to customers.
  • Search by image and text allows users to easily find desired items, enhancing usability.

Cons

  • Limited information on the accuracy of AI styling compared to human stylists.
  • Dependence on user data might raise privacy concerns.
  • May not cater to users with niche or uncommon styles effectively.
  • Potential for user overwhelm due to too many options or choices presented.

Key Features

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