Material Cost Prediction App

Material Cost Prediction – Power BI App Overview

In volatile markets where raw material prices directly affect margins, forecasting costs is no longer optional—it’s strategic. Our Power BI app provides procurement, finance, and planning teams with an integrated view of historical trends and AI-driven forecasts for key industrial commodities.

By blending real-time data and machine learning models, the app helps you budget smarter, reduce risk, and negotiate with confidence.

⚙️ Technical Framework

Our app is powered by a structured Excel dataset enriched with algorithmic predictions.

Key Components

Data Source: Historical and real-time prices for:

Aluminium

Copper

Lead

Crude Oil

Silver

(Data spans from 2022 to 2025)

Data Preparation: Cleaned and transformed in Power Query and external tools. Includes normalization, algorithm integration, and time alignment.

Data Model Dimensions:

Time (Month, Year)

Commodity

Actual Prices (2022–2025)

Predicted Prices from:

Random Forest

Holt-Winters

Linear Regression

This structure is expandable to include macroeconomic indicators, additional commodities, or vendor-specific cost drivers.

📈 Dashboard Report Highlights

🔹 Commodity Cost Breakdown – Column Chart

Visualizes the average cost per commodity over time—spot which inputs are impacting product pricing.

🔹 2025 Actual Price Trend – Line Graph

Tracks live prices for all five commodities (Jan–Apr 2025), allowing real-time comparison with predicted values.

🔹 Historical vs Predicted Price Matrices

Matrix 1: Monthly historical prices (2022–2024)

Matrix 2: 2025 predictions via Random Forest

Matrix 3: 2025 predictions via Holt-Winters

Matrix 4: 2025 predictions via Linear Regression

Use these matrices to compare model outputs, understand forecast behavior, and refine sourcing decisions.

🧠 Custom Solutions for Your Business

At Dhyey Consulting Services Pvt. Ltd., we don’t just provide dashboards—we build solutions around your specific needs.

We can help you:

Create custom commodity dashboards based on your portfolio

Recommend the right models based on your timelines and data variability

Factor in freight costs, exchange rates, and vendor quotes for a complete prediction system

📬 Ready to Predict Smarter?

Whether you're preparing budgets or evaluating supplier quotes, our tools turn data into competitive intelligence.

📩 Contact us today to start building your own material cost prediction system. Let’s make your cost planning future-ready.