Webinar: ‘How does AI boost e-commerce performance?’
Watch our demonstrations and practical examples on demand
In an ever-growing e-commerce market, brands face a twofold challenge: accelerating content production and delivering a more personalised shopping experience.
Artificial intelligence (generative AI, classification, marketing automation) now provides immediate, measurable and scalable solutions.
During our webinar co-hosted with our partner Ibexa, Murielle Couden, Project Manager at Coexya, demonstrated live how AI is transforming the e-commerce chain in practical terms, from PIM to the front office.
Why AI will be essential for e-commerce businesses in France by 2026
AI is no longer just a promise: it has become an operational tool at the heart of digital platforms (CMS, PIM, DXP, recommendation engines, etc.).
The demonstrations given by our expert highlighted four key applications:
- faster product listing,
- improved product SEO,
- intelligent catalogue structuring,
- more effective marketing coordination.
Discover the key takeaways below.
1. Automatic content generation: a game-changer for retailers
Producing consistent, comprehensive, multilingual and SEO-optimised product descriptions is a challenge for many brands.
AI is a game-changer:
- marketing teams can create comprehensive content in a matter of seconds,
- product descriptions become more consistent and of higher editorial quality,
- catalogues become more uniform and quicker to publish,
- SEO rules (tags, secondary keywords, editorial tone) are automatically adhered to.
Using data available in the PIM or CMS, the AI generates consistent, structured and customisable content.
2. Automated classification: a cleaner and more intuitive catalogue structure
A poorly structured catalogue leads to a drop in conversion rates:
inconsistent categories, poorly organised products, duplicate listings, inconsistent approaches across teams…
Classification AI resolves these issues by:
- automatically classifying each product,
- detecting categorisation errors,
- suggesting the best category for each item,
harmonising navigation trees (particularly useful in retail, B2B and industry), - improving product discoverability (SEO + UX).
3. Personalise the customer journey to boost conversions
Personalisation is no longer just a “nice-to-have”: it has become essential for driving conversions.
Through behavioural, contextual and historical analysis, AI enables:
- real-time recommendations,
- dynamic product displays tailored to the user’s context,
- content personalised according to the user’s profile,
- a tailored experience regardless of the environment
This type of personalisation can be applied to both B2C and B2B2C websites.
4. Optimising marketing campaigns using AI
AI isn’t limited to e-commerce: it also has an impact on omnichannel campaigns and helps to support marketing orchestration initiatives:
- automatic generation of variants for A/B testing,
- creation of personalised email, SMS and WhatsApp campaigns,
- ongoing optimisation based on performance,
- dynamic audience segmentation.
All of this fits seamlessly into the Marketing Orchestration approach, which lies at the heart of the Ibexa platform.
Examples that clearly illustrate the value of intelligent orchestration at the heart of the Ibexa platform.
Key takeaways
AI offers an immediate way to improve:
- the publication of content,
- the quality and consistency of product pages,
- SEO performance,
- conversion rates through personalisation,
- the effectiveness of marketing campaigns.
And above all: it helps to reduce the operational workload whilst improving the customer experience.
Replay: watch the full demonstrations
Watch the demonstration presented by Murielle Couden, featuring practical use cases that you can apply directly to your e-commerce projects.
About the expert
Murielle Couden is a Project Manager at Coexya, specialising in digital projects and content management platforms. With over 15 years’ experience, she supports clients in the design and deployment of high-performance digital solutions. An expert in CMS technologies, particularly Ibexa, she manages complex projects with a particular focus on quality and user experience.
