AIMS360 apparel software is the most popular ERP for the fashion industry. The fashion software features cover the entire fashion business lifecycle. AIMS360 business management software covers production, material and finished goods purchasing, omni-channel order taking, order processing, automated inventory management, warehouse management, shipping, invoicing, accounts receivable, and more. Get a demo of AIMS360’s 100+ apparel software features & integrations.
Our most popular integrations: Shopify, JOOR, NuOrder, Brandboom, EDI, DSCO, Dropship, 3PL Integrations, Factoring, & more.
See the AIMS360 fashion ERP website for our full features & integrations list.
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Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Torziva
Torziva is an innovative virtual try-on application for Shopify fashion retailers that utilizes AI technology to allow customers to visualize how clothing items will fit by simply uploading their own images, thereby minimizing return rates and enhancing sales conversions.
Notable attributes include:
- Cutting-edge AI virtual try-on utilizing sophisticated generative algorithms
- Seamless one-click integration with Shopify, eliminating the need for coding
- Compatible with any fashion product images
- Potential to boost conversions by as much as 32%
- Capability to decrease return rates by nearly 40%
- Accommodates various types of garments including tops, dresses, and bottoms
- Provides instant try-on feedback in just a few seconds
- Optimized for mobile devices and responsive interfaces
This application is trusted by fashion entrepreneurs on Shopify around the globe and can be found on the Shopify App Store. The starting plan is free, with no credit card information required to get started, making it an attractive option for new users.
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Spequlo
Spequlo serves as an innovative virtual try-on solution specifically designed for fashion retailers. By allowing customers to upload a single full-body image, the platform showcases various garments on the user’s body directly on the product page, enabling them to assess fit, color, and silhouette prior to making a purchase. Brands can seamlessly integrate this technology using a simple script tag or the Shopify application, relying on existing product images without the need for 3D models or reshoots. The platform is compatible with Shopify, WooCommerce, BigCommerce, Magento, as well as custom online stores. Additionally, Spequlo enhances the shopping experience by analyzing the brand's size chart to provide localized fit recommendations and tracks each virtual fitting against actual purchase data, allowing brands to evaluate effectiveness through a random session holdout rather than conventional before-and-after assessments. Developed in Toronto, this tool is particularly beneficial in the womenswear market where fit is a critical factor, catering to categories like dresses, occasion wear, fitted tops, and structured knitwear. Furthermore, Spequlo offers a complimentary iOS app for consumers, enabling them to curate a personal wardrobe and virtually try on items from any retailer. This dual approach enriches both the shopping experience and the retailers' understanding of customer preferences.
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