Client Context
A €4B+ European luxury brand operating in 50+ countries was falling behind competitors deploying AI-driven supply chain and personalization at scale. The company had a fragmented AI landscape: isolated pilots across supply chain, customer experience, and merchandising — with no governance, no strategic alignment, and no way to defend capital allocation decisions. Executives couldn't articulate a unified AI strategy.
The challenge wasn't technology availability. It was strategic clarity: which AI capabilities would differentiate, what organizational capabilities were required, and how to sequence implementation across a complex, global, multi-brand organization.
What We Did
— Assessed 20+ potential AI opportunities across supply chain, operations, merchandising, and customer experience; mapped each to business impact and feasibility
— Evaluated technology infrastructure, data maturity, and organizational capability; identified critical gaps in data architecture
— Co-created enterprise AI strategy with executive leadership: 3-year roadmap with phased prioritization and detailed business cases
— Established AI governance council with executive sponsorship, investment criteria, and risk management frameworks
— Led demand forecasting implementation: model development, ERP integration, training for supply chain decision-makers
— Enabled customer analytics platform deployment: data infrastructure, predictive models, integration with marketing and e-commerce
— Built AI center of excellence with dedicated internal team for capability building and roadmap management
Outcomes
- 12% improvement in demand forecast accuracy — reducing inventory costs and minimizing stockouts for seasonal collections
- 8% improvement in customer conversion through AI-enabled personalization competing with digital-native brands
- Approved 3-year AI investment roadmap replacing ad-hoc decision-making with disciplined capital allocation
- AI governance council operational with clear criteria for evaluating new opportunities
- Internal AI capability built through center of excellence — the organization can now evaluate and implement AI initiatives independently
"We went from fragmented pilots to coherent execution delivering measurable competitive advantage. Most importantly, our team now understands how to evaluate and implement AI initiatives, so this capability sustains beyond the engagement." — Chief Digital Officer, Global Luxury Goods Company