# AI enhancements that drive marketplace growth

Enhance your digital marketplace with proven AI solutions that boost engagement, sales, and efficiency.

[Schedule a call](/content/contact-us/index.html)

## Learn how AI is transforming online retail in our must-attend workshop

In this workshop, we’ll dive into the overlooked potential of AI in online retail, from predicting trends before they happen to creating seamless customer journeys. Discover what’s been hiding in plain sight.

[The Future of Online Retail AI Workshop](https://www.youtube.com/watch?v=2R2OwIWuExw)

## It’s tough for marketplaces in the age of AI

Today’s marketplaces face increasingly complex challenges that traditional solutions can’t solve effectively.

### Poor search? Poor conversion rates.

Poor search experiences frustrate users and lead to lost sales. Basic recommendation systems fail to drive engagement because users want personalized, context-based choices that “understand” their needs.

### Personalization. More personalization.

Managing large volumes of product data manually is becoming impossible, and search capabilities fall short of user expectations in the era of genAI. Customers expect increasingly personalized experiences.

## Unlock your marketplace's full potential

With genAI implemented in every conversion-and-UX-driven corner Enhance every aspect of your digital marketplace with AI-powered solutions that have been proven to drive real business results. Our comprehensive suite of AI enhancements helps you deliver exceptional search, personalization, and product management capabilities.

### Metrics of Improvement
- 35% improvement in search relevance
- 95% accuracy in product categorization
- 25% increase in search engagement
- 50% faster product listing process

## Choose your implementation approach

Implementing GenAI into a marketplace is not a small feat. It requires planning. That’s why we have two plans, based on your overall readiness.

### Basic implementation
- Quick implementation (2-4 weeks)
- Core functionality optimization
- Perfect for testing and validation
- Built on proven frameworks
- Minimal dependencies

### Advanced implementation
- Full-feature implementation (6-12 weeks)
- Custom-trained models
- Deep integration capabilities
- Maximum performance
- Comprehensive analytics

## AI enhancements for your marketplace

There are many ways you could use AI to improve your digital store, but here are the most frequent ones:

1.  **Enhanced product search**  [Learn more](/content/marketplaces/enhanced-product-search/index.html)
2.  **Smart type-ahead autocomplete** [Learn more](/content/marketplaces/smart-type-ahead-autocomplete/index.html)
3.  **RAG-enhanced search** [Learn more](/content/marketplaces/rag-enhanced-search/index.html)
4.  **Personalized product recommendations** [Learn more](/content/marketplaces/personalized-product-recommendations/index.html)
5.  **LLM-assisted product creation** [Learn more](/content/marketplaces/llm-assisted-product-creation/index.html)
6.  **Image search capability** [Learn more](/content/marketplaces/image-search-capability/index.html)
7.  **Complementary product recommendations** [Learn more](/content/marketplaces/complementary-product-recommendations/index.html)
8.  **Automated product categorization** [Learn more](/content/marketplaces/automated-product-categorization/index.html)

## Industry applications

Our solutions work across all marketplace types:
- E-commerce
- Travel and hospitality
- Services marketplaces
- B2B platforms
- Digital content
- Rental platforms

## Success stories

1. **[Image Processing For Healthcare Industry](/content/case-studies/image-processing-for-healthcare-industry/index.html)** Using a machine learning model with image processing and deep learning to classify embryos into groups for better pregnancy success prediction.
2. **[User Segmentation for Online Sports Betting Company](/content/case-studies/user-segmentation-for-online-sports-betting-company/index.html)** Problem Our client, an online sports betting company, faced the challenge of effectively segmenting their user base.
3. **[Transforming Data Challenges into Business Growth: A Smart Approach to Solving IT and Data Collection Issues at a Mid-Sized Convenience Chain](/content/case-studies/transforming-data-challenges-into-business-growth-a-smart-approach-to-solving-it-and-data-collection-issues-at-a-mid-sized-convenience-chain/index.html)** Introduction The case study focuses on a mid-sized convenience store chain facing IT and data collection challenges.