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.
$530
per month
Olark
Score 10.0 out of 10
N/A
Olark is a website live chat tool for engaging website visitors while they browse. It can be used to to track leads, drive sales, provide support.
$15
per month
Pricing
IBM watsonx Orchestrate
Olark
Editions & Modules
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
Self Service
$19.00
Per Agent Per Month
Offerings
Pricing Offerings
IBM watsonx Orchestrate
Olark
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
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.
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.
Olark chat is easy to set up and use. You can have more than one user logged in to monitor the chat on different computers. This makes a fast response time more likely. Although you have to be sure to keep your volume up on the computer so you hear the sound letting you know there's a chat waiting. I like that you can see the customers path through the website and you can put clickable links while you are in a chat to guide the customer to a product or a help page. Plus you can see if they actually went there. This makes it easier to upsell
New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.
Olark is user friendly for both sides of the CHAT conversation. If you are initiating the chat, or the one receiving the chat, it is extremely easy to follow and use. There are many different levels of computer use comprehension and Olark is for every level.
Olark has reporting features to allow you to check the quality of your employees chat abilities as well as their productivity. It provides feedback for the employee themselves to also see how they are doing and take any suggestions the customer may leave for them regarding their chat experience.
Olark is very affordable and offers you the option, at a low cost, to look bigger and more professional that you even are. We were a smaller company and has the chat option with Olark and now have grown tremendously and STILL have the Olark chat option. Olark allowed us to grow and provide professionalism to our customers .
The Olark program allows you to set up quick responses to keep your customer from waiting, and to allow your employees to not have to retype the same response over and over. It is a great program that the employees really enjoy as well. It reminds you if you forgot to log out when you left your desk and provides your customer a quick note giving them the option to send the chat as an email inquiry instead, so you don't miss a thing.
I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.
Not really an area of improvement for Olark specifically, but I will offer that it is incredibly important to keep in mind your company's "shopping hours" or peak traffic times (there is a Reports feature on the software that allows you to analyze peak traffic times).
Transcript history can be a little tricky - if you're searching for a specific past conversation, sometimes you may get multiple search results and have to sift through them until you find exactly what you're looking for.
I'd also offer that you will occasionally come across folks that are on your site to cyberbully or say nonsensical things. While there isn't an absolute fullproof way to deal with this, Olark does offer a nice "block" feature to disregard any unwanted conversations.
Currently we are using 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. Action flow and dialog flow we are currently in chatbot.
To be honest, renewal decisions are not currently within my power. Hypothetically speaking, I'm very comfortable with the platform, have used it daily for nearly a year, and would see no reason to switch to anything else. The small criticisms I had are not significant enough to deter me from using Olark. It's a user friendly, effective tool for our department.
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!).
Our organization does not have any complaints about Olark's Support. Anytime we reached out to them for assistance, we received a prompt, helpful reply! As mentioned previously, we used Olark fairly basically so we didn't have too much need to work with their support team other than a few general questions here and there. They were always pleasant to work with.
Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.
Olark has an easier implementation process and has better functionality such as the ability to send commands through the platform to either create a ticket in your CRM or push an opportunity to salesforce; you're even able to 'push' the end user to a web page. Implementing their SDK is a snap as well.
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.
By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.
