Modelpublic

Tayyab-ilyas/cxm-feedback-agent

sourceHugging Facemitupdated 3mo agoView on Hugging Face

0likes6downloads

Model Card

🤖 CXM Feedback Agent

An AI-powered Customer Feedback Classification Model fine-tuned on enterprise CXM feedback data using DistilBERT.

The model automatically categorizes customer feedback into business-specific classes, enabling organizations to automate customer feedback analysis, reporting, and future AI-driven insights.

🚀 Features

✅ Customer Feedback Classification

✅ Enterprise Business Categories

✅ Fine-Tuned DistilBERT

✅ Hugging Face Transformers Compatible

✅ FastAPI Ready

✅ Enterprise Deployment Ready

🎯 Business Categories

The model predicts one of the following categories:

—📂 Case Management
—📢 Complaint Management
—💡 Feature Request
—📝 General Feedback
—⚡ Performance Issue
—😊 Positive Feedback
—🔄 Process Improvement
—🎨 UI/UX Improvement

🧠 Base Model

distilbert-base-uncased

📊 Training Dataset

Current POC

—📄 38 Human-Labeled Customer Feedback Samples
—🌐 English Language
—🏢 Enterprise CXM Portal Feedback

Planned Production Version

—📈 500–1000+ Human Reviewed Feedbacks
—✅ Balanced Categories
—🧹 Clean Gold Dataset
—🔍 Quality Verified Labels

🎯 Intended Use

This model is designed for:

—📊 Customer Feedback Analysis
—📢 Complaint Classification
—💡 Feature Request Detection
—📈 Business Intelligence
—🤖 AI Customer Support
—📋 Enterprise Reporting
—📌 CXM Analytics

💻 Example Usage

python

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Tayyab-ilyas/cxm-feedback-agent"
)

result = classifier(
    "Please add bulk closure option."
)

print(result)

📝 Example Predictions

Input

Please add a bulk closure option.

Prediction

💡 Feature Request

Input

The system hangs every few minutes.

Prediction

⚡ Performance Issue

Input

The portal is very easy to use.

Prediction

😊 Positive Feedback

⚙️ Training Configuration

Parameter	Value
🤖 Base Model	DistilBERT Base Uncased
🧠 Task	Sequence Classification
📚 Framework	Hugging Face Transformers
🔥 Fine-Tuning	Supervised Learning
⚙️ Optimizer	AdamW
📉 Loss Function	Cross Entropy Loss
🔢 Epochs	5
📦 Batch Size	8
📏 Max Length	128

📈 Current Status

✅ Model Successfully Trained

✅ Uploaded to Hugging Face

✅ Inference Working

✅ API Ready

🟡 Proof of Concept (POC)

⚠️ Current Limitations

This is an initial Proof of Concept.

Current limitations include:

—📉 Small training dataset (38 samples)
—⚖️ Class imbalance
—🌍 English-only feedback
—🎯 Limited generalization

The next version will be trained using 500+ manually reviewed enterprise feedback records to significantly improve prediction accuracy.

🛣️ Roadmap

Version 1.0 ✅

—Fine-Tuned DistilBERT
—Enterprise Categories
—Hugging Face Deployment

Version 2.0 🚀

—500+ Gold Dataset
—Improved Accuracy
—Better Generalization

Version 3.0 🤖

—FastAPI Deployment
—Authentication
—REST API
—Docker Support

Version 4.0 🧠

—RAG Integration
—Feedback Search
—AI Assistant
—Enterprise Analytics

🏗️ Enterprise Architecture

Customer Feedback
        │
        ▼
🤖 DistilBERT Feedback Agent
        │
        ▼
📂 Business Category
        │
        ▼
⚡ FastAPI REST API
        │
        ▼
📊 Dashboard / CXM / CRM

👨‍💻 Author

Tayyab Ilyas

AI Engineer | Enterprise AI Solutions | Customer Experience Analytics

🤝 Contributions

Feedback, suggestions, and contributions are welcome.

Feel free to open an Issue or Pull Request.

📜 License

MIT License

⭐ If you find this project useful, consider giving it a Star on Hugging Face!