AI-Driven Pricing and Promotional Strategy Optimizer for Brand Marketing
Eclerx Marketing Analytics & Retail StrategyProject Objectives:
Build a system that analyzes competitor pricing, seasonal trends, and customer behavior to optimize brand pricing and promotional campaigns.
Project Tasks:
Collect historical pricing, sales, and promotional campaign data.
Implement AI models to identify optimal pricing points and promotional strategies.
Develop visualization dashboards to monitor outcomes of different campaigns.
Compare predicted versus actual results and refine models.
Document methodology, analytics models, and recommendations for brand managers.
Educational Qualifications
BCAMCAPGDM
Required Skills
Business Intelligence Tools (Power Bi/Tableau)Machine Learning & Predictive Modeling (Weather Forecasting, Anomaly Detection)Data Visualization & Dashboard Development (Hr Analytics, Kpi Tracking)Data Analysis & Statistical TechniquesPython/R For Data Analytics
