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What is Spequlo?

Spequlo presents an innovative virtual try-on solution tailored for fashion retailers, allowing customers to upload a single full-body photo to see different garments displayed on their bodies directly on the product pages, which helps them evaluate fit, color, and silhouette before making a purchase. Brands can easily implement this technology by utilizing a straightforward script tag or the Shopify application, which utilizes existing product images and eliminates the necessity for 3D models or photoshoots. The platform is compatible with various e-commerce systems including Shopify, WooCommerce, BigCommerce, Magento, as well as custom online stores, making it versatile for diverse retail setups. Moreover, Spequlo improves the shopping experience by examining the brand's size chart to deliver localized fit recommendations and monitors each virtual fitting against actual purchase data, enabling brands to assess the solution's effectiveness through a random session holdout, as opposed to traditional before-and-after evaluations. Originating from Toronto, this tool is especially advantageous in the womenswear sector where fit plays a crucial role, addressing categories such as dresses, occasion wear, tailored tops, and structured knitwear. In addition to this, Spequlo provides a free iOS app for customers, allowing them to build a personal wardrobe and virtually try on items from any retailer, enhancing their shopping journey. This dual functionality not only boosts the shopping experience but also deepens retailers' insights into consumer preferences, ultimately fostering stronger connections between brands and their customers. As a result, Spequlo is paving the way for a more interactive and personalized online shopping environment.

What is Intelistyle?

Intelistyle harnesses advanced artificial intelligence to craft personalized fashion journeys for retailers, which ultimately boosts customer engagement and enhances sales performance. By providing stylish outfit suggestions tailored to various events, body types, and personal preferences, retailers can more effectively upsell their merchandise. The platform produces immediate and distinctive recommendations for individual pieces as well as entire looks, using each customer's unique fashion profile to drive revenue and elevate conversion rates. It assesses over 925 fashion characteristics to assist customers in finding alternative items that closely match their desired cut, color, and silhouette. Users can conveniently search for specific products by uploading images, thus simplifying the process of discovery. Product organization is optimized through automated tagging, enabling customers to filter their searches based on occasion, body type, cut, fabric, pattern, or any particular features they seek. Additionally, the platform supports natural language queries, significantly minimizing obstacles to locating the ideal outfit. This all-encompassing strategy not only enhances the shopping experience but also cultivates lasting brand loyalty among consumers. Ultimately, this innovative approach positions retailers to thrive in a competitive market.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

PAYG, then custom quote.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
iPhone

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Spequlo Technologies Inc.

Date Founded

2024

Company Location

Canada

Company Website

spequlo.com

Company Facts

Organization Name

Intelistyle

Company Location

United States

Company Website

www.intelistyle.com

Categories and Features

Virtual Fitting

Not specified

Virtual Try-On

Not specified

Categories and Features

Size Recommendation

Not specified

Virtual Fitting

Not specified

Virtual Try-On

Not specified

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