Data Analysis for Bakery Expansion: Identifying the Optimal Branch for Acquisition

Data Analysis for Bakery Expansion: Identifying the Optimal Branch for Acquisition 

A strategic data analysis project comparing two bakery branches to recommend the optimal one for acquisition using descriptive statistics, anomaly detection, and time-series forecasting. 

Key Analytical Work 

I engineered features such as Total Revenue and Average Revenue per Unit, compared branch performance using descriptive and comparative statistics, and identified revenue volatility using anomaly detection techniques. I also implemented time-series forecasting models to evaluate growth and risk factors for each branch. 

Figure: Investment Potential: Growth & Forecast Accuracy 

Outcome & Recommendation 

The analysis concluded that although Bakery 1 had slightly higher growth potential, it also showed higher volatility. Tailored recommendations were made for both branches to improve pricing strategy, product mix, and forecasting reliability, helping stakeholders make a data-informed acquisition decision.