ManyChat headquartered in San Francisco provides their chatbot building platform to deploy Facebook messenger chatbots for support and service.
$10
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.
For the initial purpose of getting ManyChat, none of the alternatives worked either. We ended up creating a mobile app to meet the need. For incoming support automation, using the native features within Facebook has been effective as well as using GoHighLevel and Continual.ly. …
ManyChat works on Facebook only, there is your limit and that was our main concern because we felt that we were limiting our audience. But if you compare this tool by pricing ManyChat is way more convenient, especially if you are an early stage company that can't afford pricing …
I've worked in the past with Chatfuel. However, I decided to switch to ManyChat due to a variety of reasons. Overall, ManyChat offers much more functionality out of the box (e.g., Facebook comments tool), sequence builders are much more intuitive. Also, they provide flexible …
Landbot and ManyChat are fairly similar. I have not used Facebook integration with Landbot because I like ManyChat so much. However, Landbot works great on websites. ManyChat can also work on websites, but it still goes through Facebook. Since not everyone uses Facebook, I …
There are a few alternatives to Manychat such as Mobile Monkey and even Facebook's very own Messenger chatbot. I initially tried Mobile Monkey but found myself going back to Manychat as they had a lot more online presence, training, engagement with users that kept me excited …
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 …
ManyChat is extremely easy to set up on your Facebook business page and Instagram account. Even if you just want to try it out, the free plan is great to get started. If you want to provide a freebie or 24/7 customer support, you can get it done with ManyChat.
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.
ManyChat has a Facebook comment feature that when your audience comments on a particular post on your Facebook page then send them the information you have promised them. Once set up, is all on autopilot.
We have the ManyChat plugin on our website to act as a customer service chat feature for those looking for help and engage with us.
Have some great integrations on the pro account with payment gateways such as Stripe that allows you to charge your clients and receive money.
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
ManyChat is a great tool, provides loads of features, integrations and just saves you a whole load of time once all set up. If you aren't tech-savvy or used to how digital marketing tools work, it can appear complicated. That's how I felt initially 2 years ago, and after watching tutorials online I had a better understanding of it. This is why I rated it a 7, as it's not a tool that you can just play around with and guess how it works. There's definitely a learning curve with it so I recommend doing the free training and watching video tutorials.
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.
There is room for improvement but frankly, we haven't had the need to request for support. Everything is pretty easy to setup and there are very useful video explanation guides and walkthroughs on ManyChat's YouTube channel. The only challenge we have had was to integrate it with Zapier, it's a bit tricky because you need to do a setup workaround first, but nothing too complicated.
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.
For the initial purpose of getting ManyChat, none of the alternatives worked either. We ended up creating a mobile app to meet the need. For incoming support automation, using the native features within Facebook has been effective as well as using GoHighLevel and Continual.ly. ManyChat was considerably more effective, but with the price increase and the non-necessity of carrying another subscription for incoming message support, it wasn't a logical choice to keep the service.
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 have a very positive ROI for our business. We have been generating about 10 leads a month. We are currently closing on 10% of those, so 1 new client a month. We are working on ways to improve that conversion percentage.
We generate around 50 leads a month for a client of ours. Their conversion is about 25% Their average ticket is 1,500.00 which puts them to about 15-20 thousand a month.
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.