ViSenze positions itself as an "AI Commerce Search and Discovery" platform, using multimodal AI to provide personalized search and instantly relevant product recommendations for e-commerce and retail scenarios. According to official information, its services have been adopted by leading brands and retailers worldwide.
Purpose
- To address the limitations of traditional keyword search, allowing customers to find products in a more natural and intelligent way.
- Through personalized recommendations and an AI shopping assistant, it helps customers see the right products at the right time, thereby assisting purchasing decisions.
- Through automatic tagging and data analytics, it improves the searchability of the entire product catalog and continuously optimizes the shopping journey.
Main capabilities
- Multi-Search (multimodal search): Supports natural language text, keywords, images, or any combination in the same query, simplifying product discovery and improving conversion; it also supports social search, which can turn posts into shoppable content with one click.
- AI recommendation engine: Presents customers with relevant products that meet their needs; customers can also "ask" for personalized recommendations through a conversational AI shopping assistant.
- Experience Studio: Can build on-site text/image/lens search, as well as search guided by a conversational shopping assistant, or "trigger" search initiated from any image in the product catalog; it also supports recommendations from Look-Books, UGC, and social media.
- GenAI Smart Tagging: Uses AI and machine learning to automatically apply relevant tags to products in bulk, enriching product data so that the entire catalog is easier to search and better aligned with customer intent; when integrated with Multi-Search, it can present products based on preferences and popular styles.
- Analytics: Makes every customer activity measurable, for predicting demand, optimizing attribution, identifying gaps in the customer funnel, and tracking emerging trends.
Technical features (official description)
- Unified multimodal experience: Integrates search and recommendations into a single experience.
- Cutting-edge AI and machine learning: The AI engine has been trained on hundreds of millions of e-commerce products over more than a decade and incorporates the latest LLMs.
- Global support and customization: A team of retail AI experts works with a global 24/7 team to customize solutions according to business needs.
- Scalability and high performance: Can manage large and multiple product catalogs and handle peak traffic events.
- Industry experience: The team works with leading retailers worldwide and understands industry challenges and best practices.
How to use
- Integration: Through connectors, SDKs, and API, which can be integrated with e-commerce platform providers or proprietary websites/Apps, and is officially described as easy to integrate.
- Trial: The official offering provides a 30-day free trial of Multi-Search and AI recommendations, and states "results in 2 weeks, simple setup, comprehensive support, no contract required."
Use cases (from official examples)
- Instant search and style discovery for fashion.
- AI-curated product discovery for luxury goods (balancing refinement and speed).
- Simplify the shopping journey through AI search and recommendations.
- AI-driven search and "Shop the Room" for home scenarios.
- Guide customers to find their ideal look through AI discovery.
Customer cases (officially mentioned)
- Myntra uses the "Similar" and "Look" recommendation engines to recommend visually similar products and shoppable items in model images, increasing average order value and revenue.
- Zalora built its search and discovery experience through ViSenze, increasing engagement by more than 10% and average order value by 15%.
- Showpo uses the "See Similar" carousel on its website and mobile app to organize sets of similar products based on the visual attributes of the currently viewed product.
- Other reviews mention: AI visual search can return relevant results in less than 500ms; visual search conversion is significantly higher than text search; the intelligent recommendation solution increased click-through rate by 20% within one month of launch.
Limitations and other information
- The official text does not state specific pricing (only a 30-day free trial and the statement "no contract required").
- No clear details are provided on deployment environment, supported languages, data compliance, etc.
- The material is titled "AI Business Tools: Empowering Every Sector for Growth and Innovation," but the body content is almost entirely centered on the ViSenze e-commerce AI search and recommendation platform, with no specific functional descriptions of tools for other industries.
