BotStar is a messaging solution from the company of the same name in Da Nang, designed to make it easy for businesses to streamline all customer conversations. With Live Chat, Chatbot Engine, Multi-platform Integrations, BotStar aims to drive business communications, from Sale & Marketing to Customer Service.
$15
per month
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.
Easy to use interface and price are the two factors that made me decide to use BotStar. Compared to other chatbot platform, there are a few features that are not available or as diverse, but seeing the platform is updated monthly makes me confident that I have made a wise choice.
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 …
This is a perfect tool to help you save time with repetitive tasks, enhance customer experience. As long as you use Facebook Page or Website, BotStar is suitable for developing your business or project. While it is possible to create chatbots that can speak more naturally, it will require some programming knowledge as well as time to develop.
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.
First of all, the design, as well as the ease of use, are definitely the biggest strengths of this platform. The drag and drop feature allows me to design the flow quite conveniently.
Second, the step-by-step video, documented tutorials are simple and only took about 5-10 minutes.
Third, BotStar created the feature which allows me to update CMS data automatically with CSV files.
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.
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.
Easy to use interface and price are the two factors that made me decide to use BotStar. Compared to other chatbot platform, there are a few features that are not available or as diverse, but seeing the platform is updated monthly makes me confident that I have made a wise choice.
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.
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.