AI in retail and e-commerce

Recommendations, product content and anomaly detection across large catalogues, where the model has to keep working as the catalogue changes underneath it.

What we have built here

Client systems in production, with the figures they reported.

• Procurement

  Semantic Product Recommender

  A leading US procurement platform struggled with inefficient product recommendations, limiting users' ability to find relevant alternatives when items were out of stock or overpriced.

  • 133% MRR Improvement
  • 73% Search Time Reduction
  • 28% Substitution Success

• Online Retail

  LLM-Powered Content Generation

  A major online travel agency needed to create and maintain unique, high-quality hotel descriptions efficiently across multiple markets for their 120k listing inventory.

  • 120k+ Descriptions Generated
  • 95% Time Savings
  • 4.8/5 Quality Rating

• Online Retail

  Anomaly Detection System

  A retail organization needed to monitor performance metrics across hundreds of stores to identify unusual patterns before they impacted business.

  • 42% Issue Detection Rate
  • £8M+ Alert Precision
  • <5min Detection Time

The services behind it

The capabilities this work draws on.

• AI Product Recommender Systems Drive engagement and conversions with AI-powered recommender and personalization engines.
• Generative AI & Intelligent Agents Designing and implementing custom LLM-powered applications and autonomous AI agents for enhanced productivity and customer experience.
• Time Series Intelligence Delivering advanced forecasting, anomaly detection, and temporal data analysis solutions for complex business challenges.