Maximising Retail Margins:
Advanced Analytics Powers Promotions
Challenge & Opportunity
A regional convenience retailer with 40+ stores needed to optimise their promotional effectiveness in a highly competitive market. The business faced three key challenges
- Razor-thin margins requiring precise promotional management
- Complex inventory optimisation across multiple locations
- Limited customer behaviour insights in promotional and assortment planning
Our Approach
Discover & Diagnose
- Comprehensive transaction data analysis
- Customer purchase pattern assessment
- Promotional performance evaluation
- Cross-store comparison analysis
Design & Model
- Market basket analysis implementation
- Association rule mining development
- Purchase journey mapping
- Customer segmentation modelling
Deploy & Execute
- Machine learning PoC deployment
- Predictive recommendation engine
- Power BI dashboard implementation
- Promotional strategy recommendations
Optimise & Scale
- Continuous model refinement
- Performance monitoring framework
Measurable Impact
Key Results
- 7-10% identified margin uplift potential
- Enhanced promotional effectiveness
Business Outcomes
- Enhanced assortment planning
- Improved inventory turnover
- Optimised shelf utilisation
Solution Toolkit
- Python
- Power BI
- Machine learning algorithms
- Association rule mining
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