ViSenze AI-Powered Discovery Suite optimizes product discovery and catalog intelligence to shorten the conversion path for shoppers both online and in-store.
Retailers and Brands trust ViSenze to enhance shoppers' experience at every stage of their shopping journey to increase site traffic, capture high purchase intention, improve product searchability, and boost transaction values. Discovery Suite integrates Smart Search, Recommendations, Catalog Enrichment, and Analytics for eCommerce sites, applications, and in-store operations. With minimal development & instant deployment, retailers can see immediate business impacts:
+30% Click Through Rate II +12% Conversion Rate II +27% Average Order Value
SMART SEARCH
When shopping for furniture or clothing, 85% of buyers value visual information more than text. Deliver an engaging online shopping experience by allowing your shoppers find the products they want using a photo, saved image or a screenshot. Smart Search enables visual search to complement your text-based search, so high-intent customers can discover, shop and convert instantly.
SMART RECOMMENDATIONS
Increase your sales by delivering accurate and relevant recommendations. Instantly curate a collection of items to keep your customers engaged and get them buying. ViSenze makes recommendations based on what your shoppers are seeing and immediately increases cross-sell and up-sell opportunities for increased revenue impact with visual AI-powered Smart Recommendations, featuring: Shop the Look, Similar Look, and Complete the Look.
SMART TAGGING
Increase the performance of your site's product search and raise organic rankings by optimizing the entire product catalog. Smart Tagging uses advanced Visual AI to automatically optimize your product catalog at scale with accurate tags matching shopper intent.
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 is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy four modules as separate contract units, each priced by its own usage metric. Catalog Manager and Catalog Enrichment charge per 10,000 products stored, indexed, or attributed each month. Smart Search charges per 10,000 API calls each month. Smart Recommendations charges per 10,000 impressions each month. You scale each module by adding units as your product count, search traffic, or recommendation volume grows. A Free Trial lets you test all products at no cost before committing.
Top-of-mind questions for buyers
What counts as one billable unit for Smart Search versus Smart Recommendations?
Smart Search meters API calls, billed per 10,000 calls each month. Each search request your site sends counts as one call. Smart Recommendations meters impressions, billed per 10,000 impressions each month. Each time a recommendation displays to a shopper counts as one impression. The two modules use different metrics.
How do the Catalog Manager and Catalog Enrichment units combine on my bill?
Both meter your product count in blocks of 10,000 products per month. Catalog Manager charges for storing and indexing products. Catalog Enrichment charges separately for adding data attributes to those products. They bill independently, so using both on the same catalog produces two separate charges on one invoice.
What happens to my cost if my product count or search traffic grows?
You add more units as usage grows. Each module scales in blocks of 10,000. If your catalog passes 10,000 products, you buy another Catalog Manager unit. If search calls or recommendation impressions rise past a block, you add units for those modules. Each module scales on its own metric.
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Enables product discovery through photo, saved image, or screenshot input to complement text-based search functionality.
AI-Powered Recommendation Engine
Delivers visual AI-powered recommendations including Shop the Look, Similar Look, and Complete the Look features for cross-sell and up-sell opportunities.
Automated Catalog Tagging
Uses advanced Visual AI to automatically generate and optimize product catalog tags at scale with accurate labeling matching shopper intent.
Integrated Discovery Platform
Combines Smart Search, Recommendations, Catalog Enrichment, and Analytics capabilities in a single platform for eCommerce sites, applications, and in-store operations.
A/B Testing and Analytics
Provides A/B testing capabilities and instant insights for performance optimization and data-driven decision making.
AI-Powered Search and Relevance
Vector, visual, knowledge graph, and generative relevance models combined with conversational AI for product discovery with full merchandiser control over ranking decisions.
Personalization and Recommendations Engine
1:1 product predictions, algorithmic recommendations, and omnichannel recommendations across onsite and lifecycle email channels served at enterprise scale.
Guided Buying and Configuration
High-accuracy attribute mapping, decisioning, and configuration capabilities for complex configurable products and B2B scenarios.
Conversational AI Shopping Assistant
Zoe, an AI shopping assistant available across product detail pages, search, and product listing pages for conversational product discovery.
Unified Data Platform and Analytics
Single data model, merchandising rules layer, and analytics platform supporting both merchandiser and seller workflows with structured data enrichment.
Enterprise Security and Compliance
ISO 27001 certified, HIPAA compliant, and aligned with NIST and ISM3 best practices with document-level access and permission controls
Real-Time Intent Understanding
AI-enriched index that understands user intent and context in real time across enterprise content
Flexible Deployment Architecture
Deployment options ranging from no-code tools like Hosted Search Page Builder to custom UIs with full API and SDK access
Native Enterprise Platform Integration
Native integrations with Salesforce, ServiceNow, SAP, and other enterprise platforms without requiring data migrations
Analytics and Optimization Engine
Real-time analytics engine that tracks clicks, queries, and conversions to enable relevance tuning and identify content gaps
ViSenze makes virtual searching intersting and easier, their product discovery is very accurate but lags sometimes. Provided patience and good image captures the search results are very encouraging.
What do you dislike about the product?
The product discovery search is laggy and sometimes it's inaccurate. Will have to depend on 2/3 results on average to get correct results especially in meesho
What problems is the product solving and how is that benefiting you?
Easy searching just like how Google assist us with finding a song by humming same way ViSenze helps identify products with product discovery option and ai
chandrasekhar g.
Very good
Reviewed on Dec 23, 2021
Review provided by G2
What do you like best about the product?
Good office and employee friendly policies
What do you dislike about the product?
Nothing.everything is cool and provide best opportunities
What problems is the product solving and how is that benefiting you?
While doing payment faced payment issues and solved. Then after issue resolved able to place orders successfully