Free Download AI Powered, Procurement, Vendor Analytics With Deep Learning
Published 11/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.18 GB | Duration: 6h 41m
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 DescriptionThis 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 behaviorDNN for supplier reliability & vendor performance scoringPurchase order fraud & vendor risk prediction with deep learningCredit memo & credit limit prediction modelsFull PyTorch workflows on real business datasetsBy the end of this course, You will be able toBuild ANN, DNN models in PyTorch for business predictionOptimize product prices using neural networksPredict supplier reliability and vendor performanceDetect purchase order fraud using deep learningAnalyze customer purchase behavior patternsPredict price quotation success probabilityForecast late payments & perform credit risk analysisAutomate vendor evaluation scorecard using DNNYou will learn in this tutorial courseHow to preprocess procurement, vendor & pricing datasetsHow to build, train & evaluate ANN and DNN models using PyTorchHow to convert predictions into actionable business insightsHow to deploy AI models for pricing, vendor risk & financial planning
Beginners,Professionals looking for practical deep learning applications,Professionals wanting to automate pricing & vendor evaluation,Analysts needing predictive models for fraud, credit & payments
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