The Challenge
Carrefour faced a massive challenge processing product labels at scale for localization across GCC markets. The manual process took 20 minutes per product with complex requirements spanning extraction, translation, formatting, and compliance checks. With thousands of SKUs to process, the team initially expected zero errors from AI—a mindset that needed to evolve alongside the automation journey.
The Solution
ByteBeam built a comprehensive 27-step AI workflow that automated the entire product localization pipeline: from label extraction and Arabic translation to nutritional calculations and compliance validation. The system was designed with human-in-the-loop oversight, allowing one person to review and approve what previously required an entire team.
Key Features Implemented
Business Impact
Expectation Evolution
After ~2,000 products, the client understood and embraced the 90% automation / 10% human oversight model—delivering better results than expecting 100% AI perfection.
Team Efficiency
One person now handles the workload that previously required an entire team, freeing resources for strategic work.
Zero Translation Complaints
Despite processing 10,000+ products, the system achieved zero translation complaints from customers.
Scalable Operations
The workflow scales linearly—processing 1,000 products takes the same effort per product as processing 10.