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What is Dialpad Ai Sales?

Introducing the ultimate phone tailored specifically for sales professionals, designed to elevate cold calls through high-definition quality and AI-driven real-time coaching, because every sales rep benefits from a little assistance. This all-in-one device combines video conferencing, dialing, and SMS capabilities to ensure that essential data is readily accessible, alleviating any potential overwhelm for your team. With integrated speech coaching, representatives can easily recognize if they’re speaking too quickly, too slowly, using excessive filler words, or projecting their voices too loud. Call analytics and insightful dashboards provide valuable information and best practices to enhance performance. To safeguard against data loss, it also features automatic call logging, with transcripts and notes that can seamlessly integrate into your CRM system. Thanks to Voice Intelligence, reps can effortlessly communicate effectively during calls, while real-time battle cards empower them to make informed decisions on the spot. By analyzing call sentiment, assisting team members, preserving at-risk deals, and pinpointing optimal coaching moments, this phone transforms the sales process. Utilizing advanced Speech Recognition for precise transcription, Natural Language Processing for detailed analysis, and Machine Learning to deliver intelligent suggestions instantly, it redefines what a sales phone can achieve. Ultimately, this innovative tool not only streamlines communication but also enhances the overall effectiveness of your sales team, making it an indispensable asset in today's competitive market.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

ActiveCampaign
Basecamp
Clio
Copper
Freshdesk
Google Calendar
Google Workspace
HubSpot Customer Platform
Microsoft Outlook
Microsoft Teams
PagerDuty
Podio
Redtail CRM
Salesforce
SpiceX
TAS Insight Engine
Taalk
Zapier
Zendesk
vcita

Integrations Supported

ActiveCampaign
Basecamp
Clio
Copper
Freshdesk
Google Calendar
Google Workspace
HubSpot Customer Platform
Microsoft Outlook
Microsoft Teams
PagerDuty
Podio
Redtail CRM
Salesforce
SpiceX
TAS Insight Engine
Taalk
Zapier
Zendesk
vcita

API Availability

Has API

API Availability

Has API

Pricing Information

$95 per user per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dialpad

Date Founded

2008

Company Location

United States

Company Website

www.dialpad.com/products/sales-dialer/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Auto Dialer

Call Center Management
Call Recording
Call Reporting
Call Scripting
Lead Management
Power Dialer
Predictive Dialer
Preview Dialer
Progressive Dialer
Surveys

Call Recording

Archiving
Call Sharing
Distributed Call Recording
Event Triggered Recording
File Transfer
Instant Retrieval
On-Demand Recording
Recording Bookmarking
Scheduled Recording
Screen Activity Recording
Video Call Recording

Conversation Intelligence

AI Insights
Account Health Alerts
Call Analytics
Call Recording
Call Recording Cloud Storage
Call Snippets
Call Transcription
Call/Meeting Sharing
Sales Coaching
Topic Tags
Topic-Based Analytics
Video Conferencing Analytics
Win/Loss Analysis

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Inside Sales

Auto-Dialing
Call List Management
Call Recording
Campaign Management
Dashboard
Data Management
Lead Capture
Lead Distribution
Lead Scoring
Performance Management

Predictive Dialer

Call Monitoring
Call Recording
Call Results
Call Transfer
Callback Scheduling
Campaign Specific Caller ID
Contact Management
FCC Compliance
FTC Compliance
Lead Capture
Lead Management

Revenue Intelligence

Actionable Insights
Alerts / Notifications
CRM Interactions
Call Scoring
Conversation Intelligence
Dashboard
Email/Message Interactions
Market Intelligence
Phone Call Interactions
Pipeline Visibility
Sales Coaching
Video Call Interactions

Sales Coaching

Assessments
Audio / Video Conferencing
Built-In Course Authoring
Call Recording
Gamification
Goal Setting / Tracking
Learning Plans
Onboarding
Performance Metrics

Sales Enablement

Collaboration
Contact Management
Content Management
Document Management
Goals / Quota Management
Lead Management
Meeting Management
Performance Management
Presentation Management
Proposal Management
Territory Management
Training Management

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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