Launched in 2017 and available on AWS, Amazon Connect is a cloud-based omnichannel contact center designed to provide a seamless experience across voice and website live chat, featuring skills-based routing, task tracking, and analytic tools to track customer interactions, or evaluate agent activity. It can support office-based or virtual contact centers. The service is pay-per-usage, per feature.
$0
per profile/per month
IBM watsonx Orchestrate
Score 8.8 out of 10
N/A
IBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.
$500
per month per subscription
Pricing
Amazon Connect
IBM watsonx Orchestrate
Editions & Modules
Customer Profiles
$0.0025
per profile/per month
Chat
$0
per message
Contact Lens (5 million+ monthly minutes)
$0.0125
per minute
Contact Lens (first 5 million monthly minutes)
$0.015
per minute
Voice
$0.02
per minute
Voice ID
$0.025
per transaction
Tasks
$0.04
per task
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
Offerings
Pricing Offerings
Amazon Connect
IBM watsonx Orchestrate
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
More Pricing Information
Community Pulse
Amazon Connect
IBM watsonx Orchestrate
Features
Amazon Connect
IBM watsonx Orchestrate
Contact Center Software
Comparison of Contact Center Software features of Product A and Product B
Amazon Connect
7.1
Ratings
16% below category average
IBM watsonx Orchestrate
-
Ratings
Agent dashboard
5.00 Ratings
00 Ratings
Validate callers
7.00 Ratings
00 Ratings
Outbound response
7.00 Ratings
00 Ratings
Call forwarding
7.00 Ratings
00 Ratings
Click-to-call (CTC)
7.00 Ratings
00 Ratings
Warm transfer
9.00 Ratings
00 Ratings
Predictive dialing
5.00 Ratings
00 Ratings
Interactive voice response
6.00 Ratings
00 Ratings
REST APIs
9.00 Ratings
00 Ratings
Call scripts
5.00 Ratings
00 Ratings
Call tracking
7.00 Ratings
00 Ratings
Multichannel integration
9.00 Ratings
00 Ratings
CRM software integration
9.00 Ratings
00 Ratings
Workforce Optimization (WFO)
Comparison of Workforce Optimization (WFO) features of Product A and Product B
Our company is a startup that is just starting to get wholesale customers. When we realized our customers needed support using our products, we set up a Contact Center via Amazon Connect. It has been very useful in allowing us to scale up very quickly, and provide services to our company as if we were a large corporation.
In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.
IBM Watson simply works well for my organisation. We were able to design, build, and deploy a fully integrated chatbot in a matter of months. The basic building blocks (intents, skills, dialogue nodes, integration) are relatively straightforward for a technical developer to work with. The bot now supports retail customers in 3 different countries on both web and app based channels. We plan to further develop the bot to expand the way it interacts with customers through voice to text, and optical character recognition, as well as an improved UI.
It is very easy to use for any access level and has greatly facilitated users' ability to properly document tickets without getting lost in short or vague comments. Each case is fully tracked through this transcription of information. This made it easier for us to decide whether to implement, use, and maintain it as our contact tool in our customer service center.
With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
I think this product's got a lot more use cases from a business standpoint. I find the other products are very based in end users and also the orchestrator has a lot more agnostic connections to a lot of products, whereas Microsoft is very Microsoft dominated and the other products are very technical and not business focused.
From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.
The clients have received additional, rather enhanced, individual conversion rates of users who interact with the virtual assistant.
Due to the introduction of automated methods of handling a majority of the calls that are made, many call center agents are thus left to handle only complicated cases.
According to a more advanced understanding of patterns, the assistant has been critical in suggesting solutions and thus drove optional revenue management.