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What is Maple?

Maple is a cutting-edge voice AI solution specifically designed for the restaurant sector and other service-driven enterprises, leveraging sophisticated natural language processing and menu-focused capabilities to manage incoming calls 24/7. This platform excels in accurately processing orders and overseeing reservations, including bookings, modifications, and cancellations, while also implementing intelligent upselling strategies and supporting multiple languages to prevent missed business opportunities from unanswered calls or manual handling. By seamlessly integrating with the point-of-sale systems of restaurants, Maple gains a thorough understanding of menus, addresses dietary needs and allergies, captures orders accurately, personalizes guest interactions, and promotes larger average ticket sizes while enhancing overall operational efficiency. Furthermore, its strong infrastructure is engineered for both scalability and reliability, catering to both single and multi-location establishments, which empowers restaurants to automate routine call functions, improve order capture, and enrich guest experiences without necessitating additional staffing. In this way, Maple not only streamlines operations but also enables restaurants to prioritize exceptional service delivery, ensuring that they remain competitive in a rapidly evolving market. Ultimately, the platform represents a significant advancement in how restaurants can manage their communications and customer interactions.

What is IBM watsonx Assistant?

IBM watsonx Assistant represents an innovative conversational AI platform that enables a diverse range of users, including those without technical expertise, to seamlessly create generative AI assistants that provide smooth self-service experiences for customers on any device or channel, enhance employee efficiency, and expand organizational capabilities. The platform boasts an intuitive design featuring a drag-and-drop conversation builder along with ready-made templates, making it accessible for all users. It incorporates advanced Large Language Models, Large Speech Models, Natural Language Processing and Understanding (NLP, NLU), as well as Intelligent Context Gathering, which work collectively to enhance comprehension of conversational context in natural language. Additionally, it employs retrieval-augmented generation (RAG) techniques to deliver precise, contextual, and timely conversational responses at all times, ensuring that interactions are rooted in the company's knowledge base. This comprehensive approach not only streamlines communication but also fosters a more interactive and responsive customer engagement strategy.

Media

Media

Integrations Supported

Avaya Experience Platform
Content Guru storm
Genesys Cloud CX
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Orchestrate
IBM watsonx.ai Agent Builder
IBM watsonx.governance
IntelePeer
Intercom
NiCE CXone Mpower
OpenTable
Salesforce
Shift4
Square POS
Toast
Twilio Flex
Vonage Communications APIs (Nexmo)
Zendesk

Integrations Supported

Avaya Experience Platform
Content Guru storm
Genesys Cloud CX
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Orchestrate
IBM watsonx.ai Agent Builder
IBM watsonx.governance
IntelePeer
Intercom
NiCE CXone Mpower
OpenTable
Salesforce
Shift4
Square POS
Toast
Twilio Flex
Vonage Communications APIs (Nexmo)
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$50 per month
Free Trial Offered?
Free Version

Pricing Information

$140 per month
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

Maple

Date Founded

2023

Company Location

United States

Company Website

www.maple.inc/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/watsonx-assistant

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Call Center

Blended Call Center
Call Logging
Call Recording
Call Scripting
Campaign Management
Database
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Manual Dialer
Outbound Call Center
Predictive Dialer
Progressive Dialer
Queue Management
Real-time Chat
Reporting/Analytics

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

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

Conversational Marketing

Appointment Scheduling
Audience Segmentation
Chatbot
Email Automation
Group Messaging
Human Handover
Lead Distribution
Lead Qualification
Mobile Messaging
Multi-Channel Communication
Product Recommendations
Video Chat

Customer Service

Alerts / Escalation
Appointment Management
Call Center Management
Email Management
Knowledge Base
Live Chat
Performance Metrics
Queue Management
Self Service Portal
Social Media Integration
Surveys & Feedback
Virtual Assistant
Workflow Management

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

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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