MARKETPLACES
AI enhancements that drive marketplace growth
Enhance your digital marketplace with proven AI solutions that boost engagement, sales, and efficiency.
Innovate or Get Left Behind
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.
Data. UX. AI.
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.
GenAI + marketplaces
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.
35%
improvement in search relevance
95%
accuracy in product categorization
25%
increase in search engagement
50%
faster product listing process
Tailored to your AI readiness.
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
Ideal for testing out the waters and smaller functions. Think of it as MVP.
- Quick implementation (2-4 weeks)
- Core functionality optimization
- Perfect for testing and validation
- Built on proven frameworks
- Minimal dependencies
Advanced implementation
If you’re ready to dive in into a genAI project and experience its full power.
- 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.
Smart type-ahead autocomplete
Provide instant, contextually relevant suggestions as users type.
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RAG-enhanced search
Leverage the latest in AI to provide more accurate and contextually aware search results.
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Personalized product recommendations
Increase average order value with individually tailored product suggestions.
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LLM-assisted product creation
Transform product images into complete listings with automated title and description generation.
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Image search capability
Enable users to find products by uploading images, expanding search possibilities.
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Complementary product recommendations
Boost cross-selling by automatically suggesting frequently bought together items.
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Automated product categorization
Streamline operations with 95% accurate automatic product categorization into your taxonomy.
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Truly sector-agnostic.
Industry applications
Our solutions work across all marketplace types.
Success stories
Image Processing For Healthcare Industry
Using a machine learning model with image processing and deep learning to classify embryos into groups for better pregnancy success prediction.
User Segmentation for Online Sports Betting Company
Problem Our client, an online sports betting company, faced the challenge of effectively segmenting their user base. They needed to understand which users belonged to specific categories and be alerted to any changes that could impact their business. Identifying users who were becoming less valuable, such as those who rarely played or made low payments, […]
Transforming Data Challenges into Business Growth: A Smart Approach to Solving IT and Data Collection Issues at a Mid-Sized Convenience Chain
Introduction The case study focuses on a mid-sized convenience store chain facing IT and data collection challenges, leading to difficulties in managing inventory, maintaining stores, handling customers, and dealing with competition. The client needed to make data-driven decisions and improve operations to enhance customer satisfaction and stay ahead of competitors. Problem The client faced several […]
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