Chow Tai Fook Jewellery Group

Chow Tai Fook Jewellery Group, founded in 1929 and headquartered in Hong Kong, operates approximately 6,000 retail stores across Greater China and Asia with a catalog of nearly 200,000 SKUs — a scale that exposes every weakness in manual or siloed planning. Without a unified, data-driven infrastructure, the company faced persistent stockouts of high-demand products, inconsistent product-mix allocation across store locations with differing customer demographics, and replenishment cycles too slow to track shifting market demand. Fragmented processes spanning assortment, financial, and production planning produced decisions that lacked cohesion, increasing both carrying costs and missed revenue opportunities across a store network of this magnitude.

Chow Tai Fook selected o9 Solutions' Digital Brain platform to consolidate its retail planning onto a single AI-powered system. The platform applies machine learning and predictive analytics across four core functions — assortment planning, merchandise financial planning, production planning, and allocation and replenishment — giving planners a unified view of demand signals and supply constraints. Configurability was a decisive selection criterion: managing nearly 200,000 SKUs across thousands of stores with distinct demand profiles requires a platform that can be tuned to local conditions, not a rigid off-the-shelf tool. The deployment also spans global order consolidation and supply chain integration, connecting upstream production decisions to store-level replenishment signals. o9, which operates across 30-plus industry verticals, serves as both platform provider and long-term strategic partner for Chow Tai Fook's end-to-end supply chain transformation.

As of March 2026, this deployment is in its early stages — quantified outcomes have not yet been reported. The partnership targets three measurable performance improvements: reducing stockouts of high-demand products, optimizing store-level product-mix allocation, and accelerating replenishment cycles. Strategically, Chow Tai Fook aims to:

• Transition from fragmented, siloed planning to a cohesive, data-driven model spanning the full retail planning cycle
• Enable store-level demand responsiveness across ~6,000 locations with tailored assortment decisions
• Strengthen supply chain resilience in a retail environment facing ongoing demand volatility and macroeconomic headwinds

Progress against these targets will become clearer as the implementation matures beyond the initial rollout phase.

• Retailers managing large SKU counts (100,000+) across distributed store networks require highly configurable AI platforms — demand variance across thousands of locations cannot be handled by rigid, one-size-fits-all tools.
• Unifying assortment, merchandise financial, production, and replenishment planning on a single platform is a prerequisite for cohesive, data-driven decisions at enterprise scale.
• Specialty retail faces compounding inventory risk where high SKU counts and demand volatility make predictive allocation a strategic investment, not an operational convenience.
• Supply chain resilience is becoming a competitive differentiator for global retailers; AI-driven planning capabilities compound in value as volatility increases.