Client Industry: Global Retail & E-Commerce
Challenge:
A leading retailer wanted to optimize its retail media monetization strategy while balancing customer experience and revenue growth. Existing methods lacked agility and often resulted in sub-optimal ad placements, leading to reduced customer engagement.
Our Solution:
- Developed a Scenario Planner Application powered by advanced machine learning models to simulate multiple retail media strategies.
- Built an Optimizer Engine that dynamically allocated ad placements and budgets for maximum ROI.
- Incorporated customer behavior insights to balance revenue objectives with user experience.
Results:
✔ Improved retail media ROI by 27% within the first quarter.
✔ Enhanced customer engagement through smarter ad placements.
✔ Provided leadership teams with real-time scenario analysis, enabling faster and more informed decisions.