How a global skincare leader lifted online revenue in weeks by letting AI agents safeguard every product page 24 / 7
Clients
Rooted in the vineyards of Bordeaux, Caudalie is a French skincare company with a commitment to natural beauty and environmental responsibility. Founded in 1995, Caudalie harnesses the antioxidant power of grape-derived ingredients to create effective, luxurious skincare.
Before Zenyt
Before Zenyt, every campaign carried significant revenue exposure:
- Promotion breakdowns – a single broken coupon or landing-page link could remove €20–50k from a day’s email send; across 21 storefronts these lapses cost roughly €300k in lost sales over 12 weeks.
- Mismatched product data – ingredient lists, claims and usage guides that differed by language or market reduced shopper trust, depressing conversion by up to 15% on affected SKUs.
- Visual defects – blurred, duplicated or wrong-language images on hero carousels prompted bounce-outs; correcting one bestseller’s carousel alone lifted sales by 13 %.
With 100 SKUs replicated across 21 sites, even a 1% error rate meant hundreds of high-impact defects—directly draining six-figure revenue each quarter.
Timeline
Caudalie with Zenyt.ai
Within 10 days Caudalie onboarded Zenyt.ai’s always‑on AI agents no custom development required:
- Semantic integrity agent – natural‑language models reconcile every title, ingredient, size, SPF, price and discount rule with the official catalogue and promo calendar.
- Visual quality agent – computer‑vision models validate hero and carousel images for brand compliance, localisation, and recency.
- Promotion integrity agent – executes thousands of synthetic check‑outs to ensure coupons, bundles and thresholds behave before each campaign launch.
- Action centre & Teams notifications – only actionable opportunities reach the team for rapid fixes.
Project Results
Before Zenyt, every campaign carried significant revenue exposure:
“In less than a quarter we moved from chasing mistakes to scaling campaigns with confidence. Zenyt pays for itself every single week.”
Spotlight Examples
Example 1
Broken Offer Link & Missing Coupon Found Just Before Major Campaign Launch
Just days before a major marketing campaign was set to go live on the Belgium site, Zenyt AI detected two high-impact issues: the main offer link was broken, and the promotional code hadn’t been activated. Left unchecked, shoppers would have hit a dead end, costing the brand both revenue and trust.
Thanks to the alert, the ecommerce team fixed the link, activated the promo code, and launched the campaign on time, without losing momentum.
Why it matters?
Protects ROI on content investments
Maintains conversion rates by preserving rich product storytelling
Example 2
Missing Hero Video Found on Top-Selling Product Carousel
A best-selling Caudalie product was featured in the homepage carousel, but its product video wasn’t showing. Zenyt AI caught the issue before peak weekend traffic. Without the video, most shoppers simply scrolled past.
This wasn’t just a broken element. The ecommerce team had invested time and resources into producing a high-quality video designed to boost engagement and conversions. Videos play a critical role in purchase decisions, offering richer product storytelling than static images.
Once restored, the impact was immediate: higher engagement, a +13% lift in conversion rate for the affected SKU, and a ripple effect across the entire bundle.
Why it matters?
Prevents cart abandonment when codes are missing
Avoids shopper frustration from missed deals
Example 3
SPF Mismatch Found Between Product Badge and Description
A Caudalie sunscreen listed SPF 50 in the description but displayed an SPF 30 badge on the product image. This inconsistency left shoppers unsure which information to trust — causing many to abandon the page entirely.
Zenyt AI flagged the mismatch, enabling the ecommerce team to quickly correct the product details and visuals. By aligning the text and imagery, the listing regained accuracy, reduced confusion, and restored shopper confidence.
Why it matters?
Prevents customer drop-off caused by conflicting product information
Protects brand credibility by ensuring data accuracy
