Preventing Beauty Product Defects with AI-Driven Quality Screening

Context

A global beauty brand initially approached SYW to streamline returns management across its retail network, frustrated by inconsistent reporting on damaged items. During workflow analysis, SYW uncovered a deeper issue: products with micro-defects—scratches, dents, and sealing inconsistencies- were slipping through quality control and reaching shelves, driving avoidable returns.

Action

Rather than digitising returns alone, SYW deployed its AI Damage Detection Tool across the brand’s distribution centres. The tool scanned products at speed, identifying surface defects and packaging anomalies with far greater accuracy than manual checks. Real-time insights fed into SYW’s Aftersales Flow Module, enabling QC teams to flag, classify, and route defective items before they entered the market.

Result

The brand reduced defect-related returns by X% and established a consistent, automated quality-assurance process across all warehouses. Insights from SYW’s AI also prompted the brand to revisit its packaging specifications, redesigning components to eliminate recurring faults- while SYW’s automation ensured faster, more reliable pre-market screening at scale.