Demand Planning Overview

SJ
Sarah Johnson

🔮 Neural Demand Intelligence

Processing 12,450 SKUs • LSTM models active • Forecast accuracy: 94.2%
🚨
SURGE ALERT

Electronics Demand Surge Detected

Deep learning models predict 35% demand surge in Electronics category over next 30 days. Neural networks detected early market signals and consumer behavior patterns.

Expected increase: +35% Confidence: 97.8% Peak window: 14-18 days
📊
OPTIMIZED

AI Model Performance Boost

Advanced ensemble learning improved forecast accuracy to 94.2% through automated hyperparameter tuning and feature engineering on 500+ external data sources.

Accuracy gain: +2.3% Training time: 45min Data points: 2.4M
🎯
AI DISCOVERY

Seasonal Pattern Recognition

Machine learning algorithms discovered new seasonal demand patterns across 23 product categories. AI automatically adjusted forecasting models for holiday demand surge.

Patterns found: 23 categories Adjustment applied: Auto Impact assessment: +12% accuracy

🎯 AI Accuracy Optimization Center

Auto-optimization: ACTIVE • Next optimization in 2h 15m
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Neural Network Performance

LSTM v3.2.1
94.2%
Training Accuracy
96.8%
Validation Accuracy
94.2%
Cross-validation Score
93.7%
⚙️

Auto-Hyperparameter Tuning

OPTIMIZING
73%
Learning Rate 0.0023 ↑ +12%
Batch Size 128 → Stable
LSTM Units 256 ↑ +25%
Dropout Rate 0.15 ↓ -7%
14:23 Accuracy boost: +0.3%
14:18 Learning rate optimized
14:12 Grid search completed
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Real-time Accuracy Monitor

LIVE
94.2%
✓ Model stability: Excellent
⚠ Drift detected in Electronics category
🔬

Auto-Feature Engineering

523 FEATURES
+2.1%
Seasonal_Decomp_Trend
0.89
Price_Elasticity_7d
0.76
Social_Sentiment_Score
0.71
Competitor_Price_Ratio
0.68
🎯

Ensemble Model Optimizer

5 MODELS
+3.2%
LSTM Neural Net
35%
XGBoost
25%
Random Forest
20%
Prophet
15%
ARIMA
5%
🛡️

Data Quality Optimizer

98.7% QUALITY
+1.8%
✓ Missing Value Imputation Active
✓ Outlier Detection Active
✓ Data Drift Monitoring Active
⚠ Schema Validation 2 Issues

🔮 Real-time Demand Intelligence

All forecasting models active
🧠
94.2%
Forecast Accuracy
⚡
12,450
SKUs Monitored
🎯
23
Pattern Discovery
🔄
2.4M
Data Points/Day
Forecast Accuracy
94.2%
+2.3% vs last month
Demand Variance
±8.5%
Improved stability
SKUs Monitored
12,450
+250 new SKUs
Anomalies Detected
23
Needs attention

Demand Forecast vs Actual

Category Performance

Top Performing Products

SKU Product Name Category Current Demand Forecast (30d) Accuracy Trend Action
SKU-001 Wireless Headphones Pro Electronics 2,450 units 3,200 units 96.5% ↗ Rising Adjust
SKU-042 Smart Watch Series X Electronics 1,850 units 2,100 units 94.2% ↗ Rising Adjust
SKU-123 Premium Coffee Maker Appliances 890 units 950 units 92.8% → Stable View
SKU-234 Ergonomic Office Chair Furniture 650 units 580 units 88.5% ↘ Declining Review
SKU-345 Protein Powder Vanilla Health 1,200 units 1,450 units 97.1% ↗ Rising Adjust