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Use Case
Perfetti Van Melle generates e-commerce content for 14 brands using an AI agent
Perfetti Van Melle needed to industrialize e-commerce content production across 14 brands, over 300 products, 10 retailers, and 2 regions. AI Partners designed an AI agent capable of automatically generating product content (titles, descriptions, bullet points) while ensuring compliance with brand, SEO, and distribution requirements.
A pipeline designed to reduce timelines, remove manual steps, and make creative production scalable across multiple product lines.
— Global Head of Digital Commerce, Perfetti Van Melle
Results
Your partner for a smooth and concrete adoption of agentic AI.
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The solution industrialised e-commerce content production, delivering major time and cost savings while maintaining a high level of quality control.
+560
Descriptions generated in 1h30
x8
Production time reduced vs manual writing
x600
ROI, Cost reduced from $800 to $0.64 for 560 SKUs
The challenges
Perfetti Van Melle needed to produce e-commerce content at scale while ensuring consistency, retailer compliance, and SEO optimisation, without extending update cycles.
Volume
Teams manually wrote titles, descriptions, and USPs for 300+ products across 10 retailers and 2 regions, taking up to 20 hours per update cycle.
Consistency
Each piece of content had to respect brand tone of voice and retailer-specific formatting rules.
The solution
AI Partners developed a multi-agent system capable of automatically generating e-commerce content from multiple reference sources, then evaluating it against precise quality criteria.
01
Generation
An AI agent automatically produces titles, descriptions, and USP bullet points for 560 SKUs in 1h30, with integrated SEO keywords.
02
Business context
The system leverages brand information, editorial tone, retailer-specific rules, and similar product data.
03
Validation
Each piece of content is evaluated across 5 criteria, covering title quality, description relevance, USP value, tone of voice consistency, and retailer compliance.
Portfolio
Our use cases
We build GenAI systems that solve concrete workflow problems.
From copilots to agentic automation, each use case is designed
to be safe, measurable, and integrated into your existing tools.
From copilots to agentic automation, each use case is designed
to be safe, measurable, and integrated into your existing tools.
