add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); add_filter("xmlrpc_enabled", "__return_false"); OneWerx - AI E-Commerce
AI E-Commerce

AI E-Commerce

Elevate the online shopping experience with Rasa-powered chatbots for seamless customer interactions and personalized product suggestions driven by LightFM.

TensorFlow facilitates visual searches and generates engaging images, text, and videos, enhancing product appeal.

Dynamic pricing models, developed with Pyomo, ensure optimal value, while advanced machine learning techniques refine every aspect of the shopping experience, offering a continually adapting and innovative approach to e-commerce.
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ABOUT US

Your E-Commerce. Our AI

Elevate your e-commerce experience with innovative AI solutions! Harness advanced algorithms to deliver real-time interactions, personalized user experiences, optimal pricing strategies, and innovative search functionalities, driving success and innovation in the e-commerce landscape.
  • Use TensorFlow for personalized shopping experiences.
  • Apply Scikit-learn to predict customer trends.
  • Leverage PyTorch for enhanced product recommendations.
  • Utilize LightFM for tailored product suggestions and employ.
  • NLTK to refine services through customer feedback analysis.
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HOW WE DO

Our Working Process

Data Gathering and Data Preprocessing
Gather and preprocess relevant e-commerce data. Collect user behavior, purchase history, and product interaction data. Cleanse and preprocess to remove inconsistencies and fill missing values.
Feature Engineering and Model Building
Develop features and AI/ML models for e-commerce use cases. Select and engineer features from processed data. Choose algorithms and develop models for recommendations, pricing, or customer interaction.
Model Training and Model Validation
Train and validate the developed models using processed data. Use training data to train models and validate with validation data to ensure accuracy and reliability.
Model Deployment and System Integration
Deploy validated models into the e-commerce platform. Deploy models in a suitable environment for real-time interactions, personalized recommendations, and dynamic pricing adjustments.
Continuous Monitoring and Optimization
Monitor model performance continuously and optimize for better results. Regularly assess models’ accuracy and efficiency. Gather feedback and make necessary updates to improve performance and enhance user experience.
OUR SERVICES

What Services We Offer

personalization-recommendation
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Personalization/Recommendation
Product Discovery/Visualization
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Product Discovery/Visualization
Pricing/Inventory Management
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Pricing/Inventory Management
Security/Fraud Prevention
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Security/Fraud Prevention
Content Creative
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Content Creative
Customer Segmentation
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Customer Segmentation
Dynamic Pricing
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Dynamic Pricing
Visual Search
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Visual Search
Recommendation Engines
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Recommendation Engines
Sentiment Analysis
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Sentiment Analysis
Conversational AI
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Conversational AI
Customer Interaction/Engagement
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Customer Interaction/Engagement
Analytical Insight
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Analytical Insight
Robotic Process Automation
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Robotic Process Automation
Asher demonstrated to us that he was not only extremely intelligent but, more than that, we saw that he had an acute ability to understand our business objectives and further had the ability to communicate them clearly to other people, which is a considerable task in technology driven business run by non-technical marketing people.
Andrew StollmanCEO Atrinsic
Andrew Stollman

REACH US

Do You Have Any Queries?

    Contact Us

    OUR LOCATION

    201 Varick Street, PO Box 846
    New York, NY 10014

    PHONE NUMBER

    212.365.4374

    EMAIL

    info@onewerx.com

    Opening Hours

    8AM - 8PM (Sunday Holiday)

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