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Description
Amio enables the creation of AI-driven chatbots for online stores that can handle up to 95% of customer inquiries automatically.
The chatbot developed by Amio is capable of addressing a wide range of after-sales questions and can also assist customers during their purchasing journey by suggesting suitable products. By identifying shoppers who require assistance and initiating conversations with them, your e-commerce platform can boost conversion rates by more than 20%.
Furthermore, Amio leverages your product feeds to ensure you remain informed about inventory levels, pricing changes, and the introduction of new items.
Integrating Amio into your online shop is straightforward and quick, involving just a few simple steps:
1. Provide AI training by uploading product feeds and relevant information about your e-store.
2. Customize responses for common inquiries such as order status or complaints.
3. Link the system to your helpdesk, enabling customers to reach out to live support agents when needed.
4. Deploy the chatbot through Google Tag Manager (GTM) or JavaScript, making the process seamless and efficient.
With these steps, you can enhance customer satisfaction and streamline your operations effectively.
Description
The insurance sector focuses on achieving optimal rates and effectively managing risk. In such a competitive landscape, reducing manual processes is essential to distinguish ourselves from other industry players. A significant workforce is often necessary to sift through, interpret, categorize, analyze, and disseminate information for underwriting and support activities. Much of this information is unstructured and text-based, requiring manual examination. Scaling operations typically involves hiring additional personnel or resorting to outsourcing solutions. It is vital to filter and classify complaints based on their subject matter and severity level. Automotive businesses collect these complaints through various channels, including emails, feedback forms, and comments. Lymba’s Underwriting and Support NLP solution addresses the text-heavy challenges by converting data into actionable insights; this efficiency not only saves time and resources but also facilitates the initial review process, ultimately enhancing overall productivity and decision-making. By leveraging such technology, companies can focus more on strategic initiatives rather than getting bogged down by manual data handling.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Bird
Yes
Facebook Messenger
Yes
IBM Watson
Yes
Quickwork
Yes
Telegram
Yes
WhatsApp
Yes
Wit.ai
Yes
Zendesk
Yes
Integrations
Bird
No
Facebook Messenger
No
IBM Watson
No
Quickwork
No
Telegram
No
WhatsApp
No
Wit.ai
No
Zendesk
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amio
Founded
2017
Country
Czech Republic
Website
amio.io
Vendor Details
Company Name
Lymba
Founded
2005
Country
United States
Website
www.lymba.com
Product Features
Conversational AI
Code-free Development
Yes
Contextual Guidance
Yes
For Developers
Yes
Intent Recognition
Yes
Multi-Languages
Yes
Omni-Channel
Yes
On-Screen Chats
Yes
Pre-configured Bot
Yes
Reusable Components
No
Sentiment Analysis
Yes
Speech Recognition
Yes
Speech Synthesis
Yes
Virtual Assistant
Yes
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No