Majid Al Futtaim Retail
Azure OpenAI and Power BI for pricing, offers and feedback analysis
Majid Al Futtaim Retail reported annual savings of USD 1 million from AI analytics
Problem
Data was scattered across systems, and staff compiled reports manually. They processed 60,000 to 70,000 customer responses by hand each week, delaying analysis.
Approach
The retailer brought its data together in Azure Synapse and Power BI, then added Azure OpenAI. It built three tools for competitive pricing, location-based offers and analysis of feedback and contracts.
Results
Takeaway
The retailer brought scattered data together before adding AI tools for pricing, offers and feedback analysis. Microsoft reported conflicting feedback-processing times: seven days fell to either three hours or three to four minutes.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Marketing and salesProduction and quality
- Innovation type
- Process innovation
- AI technology
- Generative AIPredictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor's case study
Sources
Source summaries
Microsoft reported that Carrefour franchise holder Majid Al Futtaim Retail used three Azure OpenAI tools for pricing, offers and text analysis. It reported annual savings of USD 1 million.
Full details are in the original sources.