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AI Powered, Procurement, Vendor Analytics with Deep Learning
Published 11/2025
Duration: 6h 41m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 8.2 GB
Genre: eLearning | Language: English
Build Neural Network Models for Pricing, Vendor Risk, Fraud Detection & Inventory Optimization
What you'll learn
- Build ANN, DNN models in PyTorch for business prediction
- Optimize product prices using neural networks
- Predict supplier reliability and vendor performance
- Detect purchase order fraud using deep learning
- Analyze customer purchase behavior patterns
Requirements
- Basic Python knowledge
- Basic understanding of Excel, CSV business data
- No prior ANN, DNN experience required
- No prior PyTorch experience required
Description
Course Description
This tutorial course teaches you how to apply Artificial Neural Networks ANN and Deep Neural Networks DNN using PyTorch to solve core supply chain, procurement, and finance optimization problems. You will learn how to build deep learning models that can optimize product pricing, forecast supplier reliability, detect purchase order fraud, analyze customer purchase patterns, and predict late payments.
Using the real world datasets, this tutorial course covers end to end implementation from data preprocessing, feature engineering and model design, to model training, evaluation, and business interpretation. You will also learn to create ANN, DNN based solutions for price quotation analysis, credit memo utilization prediction, dynamic credit limit adjustment, and vendor evaluation scoring. This tutorial course goal is to convert raw procurement, ERP, and finance data into actionable predictions that improve business decision making and cost control.This tutorial course primarily focuses on:
ANN for price optimization & customer purchase behavior
DNN for supplier reliability & vendor performance scoring
Purchase order fraud & vendor risk prediction with deep learning
Credit memo & credit limit prediction models
Full PyTorch workflows on real business datasets
By the end of this course, You will be able to
Build ANN, DNN models in PyTorch for business prediction
Optimize product prices using neural networks
Predict supplier reliability and vendor performance
Detect purchase order fraud using deep learning
Analyze customer purchase behavior patterns
Predict price quotation success probability
Forecast late payments & perform credit risk analysis
Automate vendor evaluation scorecard using DNNYou will learn in this tutorial course
How to preprocess procurement, vendor & pricing datasets
How to build, train & evaluate ANN and DNN models using PyTorch
How to convert predictions into actionable business insights
How to deploy AI models for pricing, vendor risk & financial planning
Who this course is for:
- Beginners
- Professionals looking for practical deep learning applications
- Professionals wanting to automate pricing & vendor evaluation
- Analysts needing predictive models for fraud, credit & payments
More Info
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