Service · AI
AI/Machine Learning
We help companies harness the potential of AI and machine learning in e-commerce and online business — automating processes, personalizing offers, and supporting data-driven decisions.
Why Endora
Why implement AI and machine learning with Endora?
- ✓ Experience in designing and implementing AI solutions for e-commerce and B2B/B2C
- ✓ Automation of repetitive tasks and business processes
- ✓ Offer personalization, product recommendations, and dynamic pricing
- ✓ Data analysis, trend prediction, and customer segmentation
- ✓ Increased conversion, loyalty, and user satisfaction
- ✓ AI integration with existing systems (ERP, PIM, CRM, sales platforms)
AI areas
Technologies we implement
Natural Language Processing (NLP)
Natural language processing enables machines to recognize nuances of human language — from chatbots to sentiment analysis and text analytics.
- •Question answering and chatbot development
- •Sentiment analysis — positive, negative, and neutral data
- •Text analytics and personal assistants
Recommendation systems
Machine learning algorithms segment customers based on purchase history, browsing, and reviews — delivering personalized product suggestions.
- •Better user experience
- •Focus on the right product
- •Driving sales and data-driven decisions
Service scope
Full AI implementation lifecycle
AI analysis and consulting
Capability audit, strategy workshops, and process identification for automation.
AI solution implementation
Recommendations, personalization, dynamic pricing, chatbots, and customer behavior prediction.
Integrations and development
Integration with e-commerce, ERP, PIM, CRM, and custom machine learning models.
Support and growth
AI model monitoring, team training, and ongoing technical support.
Technologies
We match the stack to the business — not the other way around
We specialize in leading open source platforms and frameworks — from Magento to Sylius.
Explore technologies →Harness AI in your business
Let's talk about processes you can automate and personalize.