The title slide presents the "Storage & Call Intelligence SaaS Platform," featuring "Intelligent Call Analytics for Multi-Tenant Storage Operations." It welcomes viewers to an AI-powered SaaS platform revolutionizing storage operations with call analytics.

Intelligent Call Analytics for Multi-Tenant Storage Operations

Welcome to our AI-powered SaaS platform revolutionizing storage operations with call analytics.

Source: Human request based on PDF content

This slide introduces an AI-driven SaaS platform for intelligent call analytics in multi-tenant storage businesses. It analyzes calls for insights, emotions, and operations, transforming raw data into actionable intelligence as a scalable cloud solution.

Introduction / Overview

• AI-driven SaaS for intelligent call analytics in multi-tenant storage.
• Analyzes calls for insights, emotions, and operations.
• Scalable cloud solution tailored for storage businesses.
• Transforms raw calls into actionable intelligence.

Source: AI-driven SaaS for intelligent call analytics in multi-tenant storage. Analyzes calls for insights, emotions, and operations. Scalable cloud solution for storage businesses.

High call volumes overwhelm storage ops teams, manual analysis misses key insights and emotions, and multi-tenant storage calls are handled inefficiently. Automated, scalable call intelligence is needed to address these challenges.

Background / Context

• High call volumes overwhelm storage ops teams.
• Manual analysis misses key insights and emotions.
• Need for automated, scalable call intelligence.
• Inefficient handling of multi-tenant storage calls.

Source: Challenges in call management for storage businesses

The Objectives slide outlines three key goals. They include transforming raw call data into actionable insights, enabling emotion scoring for customer sentiment, and delivering a scalable, multi-tenant SaaS platform.

Objectives

• Transform raw call data into actionable insights.
• Enable emotion scoring for customer sentiment.
• Deliver scalable, multi-tenant SaaS platform.

Source: PDF content - Objectives section

The slide outlines the system's layered architecture: Ingestion, AI Processing, Analytics, and Dashboard. It highlights integrations with Twilio (calls), Vapi (AI voice), AssemblyAI (speech-to-text), and ElevenLabs (voice synth), noting a modular stack.

System Architecture Overview

| • Ingestion

• AI Processing
• Analytics
• Dashboard | • Twilio (calls)
• Vapi (AI voice)
• AssemblyAI (speech-to-text)
• ElevenLabs (voice synth)

Modular stack |

The "Key Components" slide features a grid of five core capabilities: Speech Analysis for transcription and keyword extraction, Emotion Analytics for sentiment detection, Scalable Architecture with cloud-native auto-scaling, Seamless Integrations with Twilio and others, and Real-Time Processing for instant insights. These elements emphasize accurate call analytics, customer insights, and efficient deployment.

Key Components

{ "features": [ { "icon": "🎤", "heading": "Speech Analysis", "description": "Accurate transcription and keyword extraction from calls." }, { "icon": "😌", "heading": "Emotion Analytics", "description": "Sentiment and tone detection for customer insights." }, { "icon": "☁️", "heading": "Scalable Architecture", "description": "Multi-tenant, cloud-native with auto-scaling support." }, { "icon": "🔗", "heading": "Seamless Integrations", "description": "Twilio, Vapi, AssemblyAI, and ElevenLabs connectivity." }, { "icon": "⚡", "heading": "Real-Time Processing", "description": "Instant analytics delivery for immediate action." } ] }

The slide depicts a 5-step workflow for processing incoming calls, starting with ingestion via Twilio. It proceeds through speech-to-text transcription with AssemblyAI, emotion analysis using an AI engine, pushing insights to a dashboard, and generating alerts via a reporting system.

Process / Workflow

{ "headers": [ "Step", "Description", "Integration" ], "rows": [ [ "1. Call Ingestion", "Receive incoming calls for processing", "Twilio" ], [ "2. Speech-to-Text", "Convert audio to text transcript", "AssemblyAI" ], [ "3. Emotion Scoring & Analysis", "Analyze sentiment and emotions", "AI Analytics Engine" ], [ "4. Insights to Dashboard", "Push processed insights to UI", "Dashboard" ], [ "5. Alerts & Reporting", "Generate and send notifications", "Reporting System" ] ] }

Source: Storage & Call Intelligence SaaS Platform

The "Data / Key Insights Summary" slide showcases key AI-driven stats for performance tracking. It highlights 95% transcription accuracy, real-time emotion scores (happy, angry, neutral), and live dashboard metrics for call volume and CSAT trends.

Data / Key Insights Summary

• 95%: Transcription Accuracy

AI-powered speech-to-text precision

• Real-Time: Emotion Scores

Detects happy, angry, neutral

• Live: Dashboard Metrics

Tracks call volume & CSAT trends Source: Platform Capabilities

The High-Level Design slide depicts a modular microservices architecture for independent scaling. It highlights API gateways for traffic and security, distributed databases for data reliability, and integrated AI services for intelligence.

High-Level Design

!Image

• Modular microservices for independent scaling
• API gateways manage traffic and security
• Distributed databases ensure data reliability
• AI services integrated for intelligence

Source: cloud native microservices architecture

The slide presents key findings and benefits, highlighting a 40% boost in operational efficiency. It emphasizes AI automation reducing manual reviews and multi-tenant management enabling scalable growth.

Key Findings / Benefits

• 40% boost in operational efficiency
• AI automation reduces manual reviews
• Multi-tenant management enables scalable growth

Source: Storage & Call Intelligence SaaS Platform PDF

The slide presents recommendations and next steps for platform advancement, including integrating advanced AI for predictive analytics and optimizing for additional languages. It outlines piloting with select clients, gathering feedback for iterations, and scaling to full production deployment.

Recommendations / Next Steps

• Integrate advanced AI for predictive analytics
• Optimize platform for additional languages
• Pilot program with select clients
• Gather feedback from pilots for iterations
• Scale to full production deployment

The slide, titled "Thank You / Q&A," expresses gratitude to the audience and invites questions. It includes a call to action to contact them for a demo, marked with a rocket emoji.

Thank You / Q&A

Thank you! Questions?

Contact us for demo. 🚀

Source: Storage & Call Intelligence SaaS Platform