Sold by: OMNIOUS.AI
Deployed on AWS
Styling Recommendations is an AI-powered solution that suggests complete outfit combinations and styling options based on selected products. The system uses advanced computer vision and fashion intelligence to analyze product images and understand how different items complement each other in terms of style, color coordination, and seasonal appropriateness.
Overview
Styling Recommendations is an AI-driven solution designed to elevate the online shopping experience by offering curated outfit suggestions. By analyzing individual product attributes and current fashion trends, the system generates up to five styling sets per item, each combining elements such as clothing, footwear, bags, and accessories. This approach not only assists customers in visualizing complete looks but also encourages the purchase of complementary items, thereby increasing average order value.
The solution is highly adaptable, allowing retailers to tailor recommendations based on brand identity, seasonal trends, and target demographics. Integration is streamlined through APIs and performance analytics tools, facilitating swift implementation and ongoing optimization. Additionally, the system can be combined with OMNIOUS.AI generative AI-based conversational shopping agent, providing an interactive and engaging user experience.
By delivering personalized and trend-aware styling suggestions, Styling Recommendations not only enhances customer satisfaction but also drives increased engagement and sales conversions.
Highlights
- AI-Generated Outfit Styling Sets Automatically generates up to five complete outfit recommendations per product, combining clothing, shoes, bags, and accessories, helping shoppers visualize full looks and inspiring more confident purchases.
- Trend & Brand-Aware Personalization Tailors styling suggestions based on the latest fashion trends, customer behavior, and the unique identity of the brand, ensuring that recommendations feel relevant, on-brand, and seasonally appropriate.
- Easy Integration with Real-Time Updates Quickly integrates via API and provides actionable insights through a performance dashboard, making it easy for retailers to deploy, monitor, and optimize styling experiences at scale.
Details
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Workspace Monthly Usage | Number of products uploaded or managed on Workspace per month | $0.002 |
Styling Recommendations Monthly Usage | Number of monthly API calls made using Styling Recommendations | $0.005 |
Vendor refund policy
We do not offer refunds for this product. Please ensure the suitability of the product by reviewing the documentation and/or requesting a demo before purchase. If you experience technical issues, please contact our support team at [support@omnious.com ].
Legal
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Content disclaimer
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Please contact us at support@omnious.com
We can communicate with customers in English and Korean.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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