AI in E-commerce Business

Optimize product search and discovery with computer vision and AI.

Search is at the heart of modern E-commerce. Ranking search results, personalizing product recommendations and improving product discovery are critical to driving revenue. AI allows you to better capture insights from your images, video and text and leverage that data to improve the customer experience.

• 
  Visual search

  Increase conversions with similar product recommendations

  Maintain customer engagement in situations where an item is out of stock. Suggest similar relevant product suggestions to reduce bounce rates, increase basket size and drive sales.

• Metadata Generation

  Improve SEO onsite and offsite with advanced data labeling

  Improve search engine optimization and make it easy for your customers to discover your products online. With AI automated data labeling, provide them with faster expanded search results to reduce bounce rates and make purchase decisions faster. Use our apparel, furniture, home goods or general models to automatically label your visual data with relevant keywords.

• content moderation

  Protect brand integrity by moderating user generated content

  Detect unwanted content within user generated images, video or text. Moderate consumer reviews including text and images to avoid content being uploaded that jeopardizes your brand integrity. Try out our Image moderation and Text moderation models.

• Natural Language Processing

  Improve the customer experience leveraging sentiment analysis

  Use NLP and text classification to recognize intent and sentiment of text data within social posts, user reviews, internal email communications. Gain a better understanding of the voice of your customer through social listening. 

• Natural Language Processing

  Enhance the customer experience by improving chatbot efficiency

  Use NLP to recognize intent within text data to respond to questions from customers better. Improve customer service and provide better buying experiences. Take into account various forms of language that relate to various topics. Identify multiple sentiments and events within one customer service call.