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MARKETPLACES

AI enhancements that drive marketplace growth

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

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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

Enhanced product search

Deliver faster, more accurate search results that understand user intent.

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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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See all industries

Truly sector-agnostic.

Industry applications

Our solutions work across all marketplace types.

E-commerce

Travel and hospitality

Services marketplaces

B2B platforms

Digital content

Rental platforms

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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