Skip links
Sign In
Book a demo
Contact Us
Sec1
Back
Case Study

ML-Powered Sales Prediction for Automotive Industry

Client Profile

A global automotive manufacturer producing sedans, SUVs and EVs, operating across North America, Europe and Asia.

Challenges

Traditional models failed to capture market and seasonal trends.

Overproduction and stockouts led to revenue losses.

Sales data was fragmented across multiple systems.

Rapid changes in EV and regulatory landscapes required adaptive forecasting.

Solution

Unified historical sales, dealer and external data (e.g., fuel prices, weather).

Integrated regional trends, model popularity and marketing impacts.

Built an XGBoost model with 95% prediction accuracy and trained on 3 years of sales data.

Deployed the model into ERP/CRM systems with real-time dashboards.

Supported emerging markets and EV trends.

Business Outcome

20% Forecast Accuracy Boost

Reduced error margin to below 5%.

15% Cost Reduction

Optimized inventory management.

10% Revenue Growth

Better production-demand alignment.

Improved Satisfaction

Enhanced customer delivery times and satisfaction by 12%.

Technology Used

Python XGBoost Tableau Matplotlib Microsoft Azure Dynamics CRM SAP ERP

Ready to get started?

    General Questions:

    email: support@sec1.io

    Let's Chat Let's Chat