Tata Motors Sales Intelligence Platform
An advanced, machine-learning-powered sales and business intelligence dashboard designed for Tata Motors. This tool operationalizes historical sales data across 7 global markets (2015-2024) to predict revenue, forecast growth targets, detect market anomalies, and evaluate product-level price elasticity.
In academic association with Invertis University Bareilly and DUCAT School of AI.
Key Features
- ▸Global Sales Forecasting: High-accuracy forecasting (2025–2034) powered by a trained Gradient Boosting Regressor model (R² = 0.9953).
- ▸Interactive What-If Simulator: Adjust corporate levers—such as R&D investments, marketing spend, and manufacturing cost ratios—to instantly simulate the aggregate impact on market revenue.
- ▸Goal Tracker & Gap Analysis: Set future revenue targets and let the ML engine reverse-engineer the required cost reductions to achieve them.
- ▸Segment Prediction: Determines primary customer segmentation arrays, churn risks, and loyalty scores based on selected models, fuel types, and prices.
- ▸Anomaly Detection: Compares raw historical values against ML-predicted expectations to flag underlying positive/negative anomalies autonomously.
- ▸Price Elasticity Engine: Calculates revenue impact when adjusting MSRP base costs across different regions.
Machine Learning Model Details
The predictive engine is powered by an XGBoost (Gradient Boosting Regressor) model.
- ▸Accuracy (R² Score): 0.9953 (99.53%)
- ▸Error Rate (MAPE): 8.45%
- ▸Artifact:
model_bundle.pkl