AI Automation

Supply Chain Predictor

Predictive analytics model for inventory optimization.

Predictive AILogisticsData

The Challenge

A manufacturing client kept facing stockouts of critical raw materials due to volatile market demand, costing them millions in lost production.

The Solution

We built a predictive model that ingests historical sales, seasonality, and even weather data to forecast demand 3 months out.

"Supply chains are complex, but they follow patterns. Our AI found the hidden correlations that humans missed. By predicting demand with high precision, the client could order exactly what they needed, when they needed it, freeing up massive working capital."

How we started

Step 1

Data Cleaning

Unified data from ERP, CRM, and spreadsheets.

Step 2

Model Training

Trained a time-series forecasting model (Prophet/XGBoost).

Step 3

Dashboarding

Visualized predictions in a real-time executive dashboard.

Key Results

Stockouts reduced by 95%
Inventory holding costs dropped by 20%
Production planning became proactive, not reactive

Primary Metric

95% Forecast Accuracy

Investment Range

$60k - $90k

*Estimated range for similar projects. Final cost depends on specific requirements.

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