XO Search & Recommendation logo

XO Search & Recommendation

Free plan available

Increase revenue with search and personalised recommendations

A/b testing
Smart search
Intelligent merchandising
Personalised recommendations
Algorithms orchestration

About XO Search & Recommendation

Launched Mar 14, 2023

Categories

Built by Crownpeak (formerly Attraqt)

Email :

[email protected]

Address

236 Grays Inn Road, London, ENG, WC1X 8HB, GB

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Description

A Complete Product Discovery Growth Engine. Achieve higher conversions and revenue.

XO Search, Merchandising and Recommendations is a complete product discovery solution powered by AI, designed to grow online revenue through seamless, intuitive, relevant and personalised shopping experiences in a single platform. A cloud-based SaaS solution that can be easily integrated with your tech stack to deliver product findability and personalisation at scale.

XO Search, Merchandising and Recommendations is a complete product discovery solution powered by AI, designed to grow online revenue through seamless, intuitive, relevant and personalised shopping experiences in a single platform. A cloud-based SaaS solution that can be easily integrated with your tech stack to deliver product findability and personalisation at scale. more
  • Smart Search. Higher conversion with fast, relevant search results.
  • Intelligent Merchandising. Cost-effective store curation with AI algorithms.
  • Personalised Recommendations. Win loyal customers with 1-to-1 personalisation.
  • Algorithms Orchestration. Maximise ROI with high-performance algorithms.
  • A/B Testing. Unlock revenue opportunities through experimentation.

Pros

  • Powered by AI for seamless, intuitive, relevant, and personalized shopping experiences
  • Cloud-based SaaS solution guaranteeing easy integration with existing tech stack
  • Improves product findability and personalisation at scale
  • Smart search feature enhances conversion with fast, relevant results
  • Intelligent merchandising through cost-effective AI algorithms
  • Personalized recommendations improve customer loyalty with 1-to-1 personalisation
  • High-performance algorithms orchestrate and maximize ROI
  • Enables A/B testing to unlock additional revenue opportunities through experimentation

Cons

  • Heavily relies on AI, which may require significant computational resources and might be complex to manage for smaller businesses
  • Integration with existing tech stack may vary depending on the platform, which could introduce initial setup challenges
  • Dependence on cloud services may raise concerns about data privacy and security
  • Cost of a SaaS solution might be prohibitive for some businesses, especially startups

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