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🚗 Market Entry Analysis for ABG Motors

📘 Project Overview

This project evaluates whether ABG Motors, a Japanese automobile manufacturer, should enter the Indian automotive market. The analysis leverages data-driven modeling and predictive analytics to support a strategic market entry decision.

Using historical Japanese market data as the training base, a logistic regression classification model was developed to predict car purchase likelihood. The model was then applied to an Indian customer dataset to project potential sales and assess market viability.


🎯 Objectives

  1. Sales Forecast Validation – Estimate potential car sales in India and compare with ABG Motors’ break-even threshold of 12,000 cars/year.
  2. Model Development – Build and validate a logistic regression model using Japanese customer data.
  3. Model Transferability – Test the model on Indian data to check if consumer behavior patterns align across the two markets.
  4. Strategic Recommendation – Provide evidence-based insights for the company’s market entry decision.

🧠 Methodology

  • Tools Used: Python, Microsoft Excel, Tableau

  • Techniques: Logistic Regression, Exploratory Data Analysis (EDA), Data Visualization, Model Validation

  • Datasets:

    • Japanese Dataset: 40,000 customer records with purchase outcomes
    • Indian Dataset: 70,000 potential customer records for projection

📊 Key Findings

  • Model Accuracy: 97.98%

  • AUC Score: 0.74

  • Projected Sales in India: 35,209 cars, exceeding the target of 12,000 cars by ~293%

  • Top Predictors:

    • Annual income (strongest positive impact)
    • Age of current car (replacement cycle indicator)
    • Customer age (negative correlation with purchase likelihood)
    • Gender (males 26.7% more likely to buy)

🌏 Insights

  • Indian and Japanese markets show similar demographic and behavioral trends, validating model transferability.

  • Indian market characterized by:

    • Balanced gender representation
    • Strong middle-to-upper income segments
    • Purchase readiness linked to maintenance cycles

✅ Conclusion

The analysis strongly supports ABG Motors’ entry into the Indian market, with projected sales well above the break-even threshold. The logistic regression model effectively demonstrated cross-market applicability, providing quantitative backing for strategic decision-making.

Final Recommendation:

Proceed with market entry through a phased expansion strategy focused on major metropolitan areas, with continuous performance monitoring and model recalibration.

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Doing Market Analysis of Sales Data and Predcting Purchase Behavior of Customers

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