Guide

The keys to deploying AI across your e-commerce acquisition chain

AI improves operational efficiency but struggles to generate revenue: how can you join the 20% generating e-commerce revenue with AI?

AI improves operational efficiency but struggles to generate revenue: how can you join the 20% generating e-commerce revenue with AI?

For 18 months, we documented our AI deployments across the e-commerce acquisition chain. Tests on 200+ catalogues measured performance at every stage.

Today, we share what we learned about generating measurable revenue.

👉 Our study brings together field insights:

  • Product catalogue: how MyOrigines doubles its revenue and improves ROAS by +50% in 12 months through product scoring and intelligent segmentation
  • AI visual generation: why only 10% of generated visuals are usable, and how this approach delivers 90% savings
  • Advertising activation: how combining product scoring with price positioning delivers +18% to +21% ROAS and reduces wasted advertising spend
  • Conversational AI agents: documentation of 4 months of tests, a 92% relevance rate and analysis time reduced by a factor of 90

The study also includes a 4-week deployment roadmap, from data reconciliation to automated advertising activation.

The publication

Les clés pour déployer l’IA dans votre chaîne d’acquisition e-commerce

PDF · 26 pages

Document available in French only.

Open the French document

Turn your analysis into performance.

Let’s discuss your e-commerce acquisition challenges and the growth opportunities in your catalogue.

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