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Home » AIVoiceBot
Posted inCoding

Day 10: Deploying & Scaling the AI Call Center System #AIVoiceBot #AIatScale

A fully operational AI call center needs to be scalable, reliable, and secure to handle high volumes of customer interactions. Today, we’ll focus on deploying our Laravel AI voice bot…
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Posted inCoding

Day 9: Logging AI Conversations into CRM for Customer Insights #AIVoiceBot #AIInsights

To create a fully automated AI call center, we must log conversations into the CRM for tracking customer interactions, analyzing trends, and improving AI responses. Today, we’ll implement conversation logging…
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Posted inCoding

Day 8: Integrating AI with CRM for Customer Data Access #AIVoiceBot #AIandCRM

A fully automated AI call center should access customer records in real-time, allowing AI to retrieve order details, support tickets, and account information. Today, we’ll integrate our Laravel AI voice…
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Posted inCoding

Day 7: Enhancing AI Memory for Multi-Turn Conversations #AIVoiceBot #ContextRetention

A powerful AI voice bot should remember previous interactions to provide a seamless, human-like conversation experience. Today, we’ll implement context retention in our Laravel AI call center, allowing the bot…
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Posted inCoding

Day 6: Handling Call Routing & Multi-Agent AI Conversations #AIVoiceBot #CallRouting

A fully functional AI-powered call center must route calls dynamically based on the caller's intent, connect to different AI agents, and escalate to human support when needed. Today, we’ll implement…
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Posted inCoding

Day 5: Handling Real-Time AI Conversations with Callers #AIVoiceBot #LiveAIChat

An AI-powered call center must handle dynamic conversations in real time, allowing the voice bot to process customer queries, fetch database information, and respond naturally. Today, we’ll integrate live AI…
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Posted inCoding

Day 4: Managing AI Call Flow & Automating Customer Queries #AIVoiceBot #CallAutomation

An AI-powered call center bot must handle call flows efficiently, ensuring customers receive accurate responses, database-driven information, and seamless call automation. Today, we’ll implement call routing, automated query handling, and…
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Posted inCoding

Day 3: Converting AI Responses into Realistic Speech with Text-to-Speech (TTS) #AIVoiceBot #TTSSynthesis

AI-powered text-to-speech (TTS) allows our Laravel call center AI to convert AI-generated text responses into natural-sounding voice replies. Today, we’ll integrate OpenAI, AWS Polly, and Google Text-to-Speech to enable voice…
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Posted inCoding

Day 2: Integrating AI-Powered Speech-to-Text for Call Handling #AIVoiceBot #STTIntegration

AI-powered speech-to-text (STT) enables our Laravel call center AI to convert customer calls into text, analyze queries, and respond accurately. Today, we’ll integrate OpenAI Whisper, AWS Transcribe, or Google Speech-to-Text…
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Posted inCoding

Day 1: Introduction to AI-Powered Call Center with Laravel #AIVoiceBot #CallCenterAI

AI-driven call centers revolutionize customer service by automating responses, retrieving data from databases, and handling voice interactions efficiently. In this series, we’ll build a Laravel-based AI voice bot that can:…
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