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Chatbots vs Slang Voice Assistants

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PROFESSIONAL

BUSINESS

Intelligent Chatbots

Conversational Chatbots for Customer Support

Slang Voice Assistants

Slang Trigger
Slang Voice Assistant
Role in the Business
Business Use
Customer Support
Increasing Revenue Generation and Improving Customer Experience
Market Expansion
Expand to Next Billion Users.
Penetrate Tier 2 and Tier 3 markets
Increasing Bottom Line
Yes by automated customer support
Yes, by making it easy to do common tasks.
Top Line Growth
Expand into new markets, Add more users, increase share of wallet
Technology
Primary Input Method
Text Based
Voice Based
Speech Recognition
Natural Language Processing
No Speech Output
Text to Speech (TTS)
CORE COMPONENTS
NLP Systems
Off the shelf
Deep Learning System
ASR Systems
Off the shelf
Deep Learning System
Domain Specific
End User Experience
Type of Conversation
Unidirectional: To and fro reply on a single screen
Omnidirectional: User can start conversation from any point in the app
Multimodal
No. Touch only interface
Yes. Touch + Voice
Interface
Separate Interface from the app
Integrates seamlessly with app UI
Experience
Feels like 3rd party, since users are taken to a different screen
Feels native to app
Conversational/Interactive
Input Speed
Slow
Voice is 3x faster than typing
Spelling Mistakes
Yes
No
CSAT
Lower
Higher
Multilingual Support
Vernacular Language Input
Supports Multiple Languages
Indian Accent Support
Customize Translations
Automatic Translation
Synonym Support
Rarely
Stop Words
Rarely
Integration
Voice Search
Voice Navigation
Voice Actions
Voice Promotions
ADDITIONAL CAPABILITIES
Analytics
Technical Support
Privacy
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Slang Labs provides accurate and multilingual in-app voice assistants. These voice assistants can be used out of the box for android and web apps with just a few lines of code.

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RESOURces

Guide to Voice AssistantsSlang vs Google Voice Search Benchmarking ReportEventsWhitepaperChatbot vs SlangGoogle Vs Slang

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