Client Context
A retail group operating 8 brands across 200+ stores in Southern Europe. Each brand operated independently with siloed data and no shared analytics capability.
The Challenge
The group’s CEO wanted to understand where AI could create the most value across the portfolio. With 8 different brands, each with different customer bases and operational models, the complexity of prioritisation was significant.
Our Approach
We conducted cross-brand data assessment, identified common opportunities that could be shared across brands, and designed a phased pilot programme starting with the two brands with the best data readiness.
Timeline: 4 weeks
The Results
- Personalisation and dynamic pricing identified as highest-impact opportunities
- 15–20% improvement in gross margins estimated
- Phased pilot programme designed starting with 2 brands
- Shared data platform architecture to enable cross-brand AI capabilities
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