Landbot.io is a no-code chatbot platform used by businesses to build frictionless conversational experiences from end-to-end. With the goal of turning conversations into profitable outcomes, Landbot helps Marketing, Operations, and Customer Service teams increase their efficiency and cut operating costs. Whether it's for WhatsApp, Web, or Messenger, the user can create automated chatbot flows to better engage customers and…
$0
Per Month Per User
SAP Conversational AI (discontinued)
Score 6.8 out of 10
N/A
SAP Conversational AI was a platform used to build chatbots and digital assistants in SAP integration. Starting January 2023, SAP Conversational AI, SAP’s chatbot building platform has been set to maintenance mode. Existing customers can continue to use the enterprise edition of the product until the end of their contract.
N/A
Pricing
Landbot
SAP Conversational AI (discontinued)
Editions & Modules
Sandbox
$0
Per Month Per User
Starter
$39
per month
Pro
$99
per month
Business
Starting at $300
per month
No answers on this topic
Offerings
Pricing Offerings
Landbot
SAP Conversational AI (discontinued)
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Landbot
SAP Conversational AI (discontinued)
Considered Both Products
Landbot
Verified User
Anonymous
Chose Landbot
Drift is quite pricey, on the cost part, Landbot was much better with almost similar features. Also, on the UI front, Landbot was a pretty decent tool compared with Drift or Mobilemonkey. The usage was easy, the reporting was very easy to get. Considering all these parameters, …
They are ideal for creating different chatbots for different business entities. It supports different languages, I can implement it with messaging platforms like Slack, Telegram, and many more...
SAP Conversational AI has been a great help in analyzing common errors in data processing and analytics. It is important to understand scenarios that apply in this situation as information is constantly being gathered, which is where SAP Conversational AI is able to help …
The platforms have similarities in terms of making the organization more data-driven. However, the use cases are different. SAP analytics cloud is used for reporting, deploying dashboards, and scheduling timely delivery of reporting and analytics. SAP Conversational AI is a …
Since Alexa and Teams have their own UI for bots they rank better when it comes to usability and features provided. Voice enablement seems to be a big drag.
We decided to go ahead with this product since our systems heavily rely on SAP already. The integration of data is seamless and can be customized to all needs. We found other competitive solutions to be worse at the data integration, although sometimes they provide a nicer UI …
SAP Conversational AI is on par with Oracle Digital Assistant in most respects assuming you are using SAP Conversational AI with SAP HANA and Oracle Digital Assistant with Oracle Cloud + Oracle Database. SendBird is much better in chat user experience and scaling with number of …
SAP Conversational AI is superior to rule-based solutions because they cannot understand a plurality of words such as synonyms. Rule-based systems may for example search for trigger words like "invoice" or "receipt" and recognize those just as well as the neural (?) models used …
SAP Conversational AI has a better documentation of their APIs. SAP Conversational AI also has a much more active and friendly community with lots of help from the community as well as from SAP co-workers. The integration with SAP (as non-SAP) technologies surpasses that of the …
Google Dialogflow has the same global experience, but SAP CAI is better for non-developers. There is a way better experience in SAP CAI than Ideta, and SAP was also cheaper and easier to deploy.
The Mirosoft bot framework is less user focused and more aimed at developers. I would recommend using SAP Conversational AI in scenarios, where people in the marketing division have to use the bot and implement new questions. For small to medium sized conversations I would …
Conversational AI is a lot leaner than the competition, especially compare to Botpress and Microsoft whose frameworks feel less convincing to managers. SAP also provides key use cases with both their own technologies and third-party solutions and the underlying chatbot platform …
Our scenario was pretty clear. We looked for an enterprise chatbot platform that could support SAP ERP like S/4HANA. Recent features make going with SAP CAI the clear choice for someone who wants to build bots around S/4HANA.
We selected SAP Conversational AI because we are a big group in constant development that invests in technology that is easy to use and has a good support community.
The easy implementation of SAP Conversational AI makes it stand out against any other tool. In turn, the free implementation for a PoC opens the game to give demos to promote its use to potential customers. Recently they launched the web client to implement a bot in SAP Cloud …
Great for the site embedded. Ideal for advertising traffic—conversion up to 20%. Not suitable for creating bots in instant messengers. Still, there are other more convenient services for this. Waiting for improvements, human takeover, redesign, and proactive mobile redesign.
It would be most suitable to help you attain swift conversation flows as you engage with your audiences. The bots are also of indispensable value in handling repetitive tasks around the firm such as automated HR resourcing expeditions or marketing campaigns or any other important but monotonous tasks. I however admit that analyzing the bot's performance is quite complex, have an RPA specialist around.
SAP Conversational AI in addition to providing the chatbot features also integrates bot analytics without the need for much setup/deployment work.
It is possible to code SAP Conversational AI chatbot in multiple coding languages (Node.js, Python, PHP, iOS, etc.) that makes it easy both implement as well as integrate with existing IT stacks (eg. Analytics, AI, Databases).
SAP Conversational AI is easy to implement and get it running especially if you are already using SAP S/4HANA Cloud.
Keywords Jump Feature: As a feature, it is good. But there is a scope of improvement that I see. In our Business, there are a lot of words that are similar for example Bearing/Bear ring/Bearing. So, at times the bot takes some time to find the exact keyword what the user wants and then route it accordingly. Most of the time, it does right, but at times it doesn't.
Documentation update. Some of the very nice tutorials and docs seem outdated or not SAP-branded, which can be confusing
Fallback channels. The intercom fallback channel has an important lack of speed, and the SAP fallback channel seems complicated to implement in a product development sprint
Chatbots have already acquired most of the market and are still trending with the needs of changing market everyday. It will keep evolving with AI and NLP more to offer for improvements. SAP CAI is a good product to add to an enterprise using SAP ERP Suite
Never had an issue. SAP CAI shares the same platform as any other product hosted on SAP Cloud Platform (aka BTP) and depends on your hosting (US, Europe, Asia). Maintenance modes are planned and customers are aware of it well in advance in order to mitigate potential impacts on the service offering.
It's a pure SaaS platform hosted on SAP Cloud Platform (aka BTP). The experience is pretty much seamless with minimum loadings or noticeable lags. The hosting depends on your location so you may want to make sure the instance is available on a server close to you, such as the USA, Europe or Asia.
Great support from the people of SAP Conversational AI as of the community. Sometimes it takes a little while for folks of the SAP Conversational AI team to answer but this has mostly to do with the overload of questions and users the product has. The gold-support channel within Slack that SAP Conversational AI has, is a great help to distinguish more professional usage and therefore more urgent questions.
Drift is quite pricey, on the cost part, Landbot was much better with almost similar features. Also, on the UI front, Landbot was a pretty decent tool compared with Drift or MobileMonkey. The usage was easy, the reporting was very easy to get. Considering all these parameters, we chose Landbot for our Organization.
SAP Conversational AI has been a great help in analyzing common errors in data processing and analytics. It is important to understand scenarios that apply in this situation as information is constantly being gathered, which is where SAP Conversational AI is able to help provide common issues to be resolved. Data-driven and AI responding is the future of software analysis.
We mostly had a positive impact with this tool. With our chat channel, we increased our new customer rate by 15% and return customer rate by 10%. We are seeing some decent returns with the tool.
The impact has been very positive for our business objectives. Through the chatbot, our clients can have an immediate response to any of their requests without the need of an intervention of a person or without the use of the telephone or email. Customer satisfaction has been much higher.