Generic Agent AI Β· Detached Entrepreneur Β· Demo

Customer Chat Reply Assistant

Suggest intelligent replies to customer chat inquiries based on context and sentiment.

AI AgentLLM ServerEcommerceChatCustomer
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0.5×← Perlahan Β· Cepat β†’
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πŸ’¬Tekan Play Demo untuk lihat Customer Chat Reply Assistant.
Demo Complete All Stages Generated

01 WhatsApp Command

02 Requirement Analysis

Chats
4
Auto Reply
3
Positive
2
Needs Help
1
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03 Python Script Generation

1
πŸ’¬
Baca mesejRead customer message
2
😊
Analisis sentimenDetect sentiment & intent
3
✍️
Cadang balasSuggest reply draft
4
πŸ“€
Hantar balasanSend or queue for review

04 Block Diagram

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05 System Schematic

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⚠️ Always review AI-suggested replies before sending to customers.

06 Simulasi Chat Reply

Mula Reply
Chats
0
Auto
0
Positive
0
Negative
0

07 Chat Reply Report

Demo
Chat Reply
Chats
0
Auto
0
Positive
0
Status
Standby

Terminal Log

[SISTEM] Customer Chat Reply Assistant sedia

System Architecture

πŸ“± Command Layer
WhatsApp instruction
πŸ€– Agent Layer
Message parser
Sentiment analyzer
Reply generator
πŸ’¬ Customer Layer
Chat platform
Customer DB
Reply templates

Safety Notes

  • Always review AI-suggested replies before sending to customers.
  • Configure role-based access for customer data.
  • Audit all chat replies for compliance.
  • Browser demo uses simulated data only.
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