Hi Everyone !
📊 Demand Classification Made Easy with TensorFlow!
In this tutorial, we demonstrate how to classify product demand into low, medium, or high categories using TensorFlow. This project highlights a simple yet powerful application of AI in supply chain management, helping businesses prioritize inventory and optimize resources.
Demand classification is a critical step for better decision-making in logistics, manufacturing, and inventory planning. Whether you’re a beginner in AI or a supply chain professional, this project will help you get started with multi-class classification. 🚀
What You’ll Learn in This Video:
1️⃣ Simulating Sales Data:
Generate monthly sales data and categorize it into low, medium, or high demand.
Learn how to prepare and normalize data for training a neural network.
2️⃣ Building a Neural Network:
A simple neural network with 8 neurons in the hidden layer and a softmax output layer for classification.
Use TensorFlow to structure and train the model.
3️⃣ Training and Testing:
Train the model on historical sales data and evaluate its performance on unseen test data.
Use metrics like precision, recall, and F1-score to measure classification accuracy.
4️⃣ Visualizing Demand Categories:
Plot historical sales data with demand categories color-coded for clarity.
Graph Visualization:
This project generates a graph showing:
Sales Data Points: Color-coded by category (low, medium, high).
Color Key: A color map distinguishes between the three demand categories.
Why Use TensorFlow for Demand Classification?
TensorFlow makes it easy to build and train classification models that can:
Prioritize Inventory: Classify products into priority levels based on demand.
Optimize Resources: Allocate resources effectively for high-demand items.
Support Decision-Making: Provide actionable insights for supply chain planning.
By using a neural network with TensorFlow, you can quickly classify demand patterns in your dataset and adapt to real-world challenges.
Why This Matters in Supply Chain?
Accurate demand classification helps businesses:
Identify high-demand products to avoid stockouts.
Reduce costs by optimizing inventory for low-demand items.
Plan logistics and manufacturing schedules based on demand categories.
#TensorFlow #AI #DemandClassification #SupplyChain #Logistics #InventoryOptimization #MachineLearning #NeuralNetworks #SupplyChainManagement #PythonCoding #TechEducation
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