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ML-Powered Quotation System

Electrical Panel Price Prediction • February 2021 - January 2022

1 Week → Instant
±15-18% Accuracy
22% ↑ Sales
35% ↓ Workload

Before ML System

Traditional manual quotation process

1
Sales Meeting

Customer inquiry received, no pricing available

2
Engineering Analysis

1 week of technical specification review

3
Detailed Quotation

Manual component selection and pricing

⏱️ 1 WEEK TURNAROUND

Lost opportunities in competitive bidding

After ML System

AI-powered instant prediction

1
Sales Meeting

Customer inquiry received, enter specifications

2
ML Prediction

Random Forest model analyzes 2400 historical quotes

3
Instant Price Range

Preliminary estimate with confidence interval

⚡ INSTANT RESPONSE

Win more bids with faster response time

Instant
Response Time
🎯
±15-18%
Accuracy
📈
+22%
Sales Conversion
-35%
Workload

Key Features for Prediction

Random Forest Feature Importance

Panel Capacity (kVA)
95%
Voltage Level
85%
Number of Circuits
75%
Special Requirements
65%
Installation Environment
55%
Customer Industry
45%
Python
scikit-learn
Pandas
Random Forest
C#
WPF
SQL Server