SAP Conversational AI (discontinued)

We use SAP conversational AI to set up multifunctional bots to work on the repetitive tasks in the firm. We largely use the bots, and chatbots to be specific on our websites to improve how we engage with our customers. SAP bots have actually made work easier by taking over the time-consuming, low-value tasks. It has stretched our engagements with our audiences through integration with Facebook and Instagram.

SAP Conversational AI has given an edge to our organization's inquiry process. We are able to chat with the potential clients and solve their queries. We are solving live problems and issues by getting real time data and engaging with the customer real time. Customer engagement, feedback mechanism etc has been strengthened with the help of SAP Conversational AI. Artificial intelligence has changed the way business interactions are happening.

It is an accessible and very flexible software. Thanks to its integrations we can use it with different solutions to build different multilingual Chatbots for our instant messaging tools very quickly and without problems.

SAP Conversational AI is software that I have used to manage my team's finances due to the high cost of material being purchased. The application of SAP has greatly helped my team and me manage all costs. SAP has helped my department with monthly spending in material spending from sources that range from external suppliers outside the US and internal suppliers inside the US. SAP is fundamental for ERP cost management.

SAP Conversational AI is primarily used in chatbots to help customers navigate different products in an e-commerce setting. It's low on code so it can be easily integrated with current systems or legacy systems. It provides an end-to-end bot-building platform to companies that want to start exploring new AI use cases.

We are building proof of concepts in the context of ERP and CRM softwares. It is a great platform to easily build and showcase what chatbots are, how it helps customers building a new communication channel for their users, and simplify the user experience even for complex business processes. Being able to integrate Conversational AI with non-SAP products is also a winner.

We are using SAP Conversational AI to develop intelligent personal assistant for B2B and B2C which serve to day to day business problems to reduce dependency on live agents etc. SAP Conversational AI is a very effective and efficient platform to build chatbot as it includes very less coding to achieve simple logical solution to a problem as compared to other platforms. It has good exposure to various useful channels like Microsoft teams, Facebook etc. and has a prospect for fallback channel to live agent connectivity as well.

It is used as a recommendation for implementing chatbot features in enterprise applications which makes the end-user experience hassle-free, without the need for accessing SAP applications independently and hence saves a lot of time. Leave management information and other HR information is available with easy queries without the need of navigating to different screens.

We have submitted multiple POCs with clients for helpdesk and digital assistant bot scenarios. We are pushing chatbots so that they can get quick answers for their day to day issues rather than raising tickets.

Also have worked on a chatbot for the Warner Brothers studio tour. This will help them reduce the use of conventional customer care and enhance their business. Currently, they don't have 24/7 customer service and this will enable them to have one.

At that time we found ourselves in the development of Chatbot for our clients through SAP CAI using the established communication channels. Additionally, we use the API to establish the connection via WhatsApp. It is currently used by the Evolution department. For business problems we are currently addressing a Support Center or global customer service.

We use SAP Conversational AI to automate business processes and improve customer support with AI chatbots.

We use Conversational AI in our IT services department to encourage employees to use self-service for their common questions and activities. We are also looking to expand this into more departments and add some more functionalities in order to really enable our users to leverage the chatbot interface. Currently, we are adding some FAQs.

SAP Conversational AI is used currently for chatbot for deployment on our organization's website as a digital assistance for customer support and informational conversations to replace/complement the need for a human support staff.

For the following reasons, SAP Conversational AI is being used in our organization:

1. Enables immediate responses to our Business Users’ SAP and support related questions in French and German during and outside of office hours anytime, anywhere through the Group Mutual Web site or HelpDesk system.
2. Conveys a positive and modern image to our Users, many of which have successfully embraced the chatbot, as evidenced by a 75% first-time resolution rate.

We use SAP Conversational AI for testing purposes internally. As the holder of the company I experiment with the latest technologies before customers request them. Once customer inquiries reach us, we would then already have some experience and prior knowledge in the field to consult properly. It therefore does not solve any business problems as of now but is used rather for experimentation purposes. Also, we build demo products with new technologies to show them off on YouTube and a chatbot might be a future project of this kind.

Currently I am building a chat bot which connects to SAP and gives PO and SO details to users through SAP Conversational AI.

SAP Conversational AI (CAI) is an excellent tool for the design of bots that handle processes through workflows and even better that they use natural language processing NPL. In our company we use it to develop and implement the bot for our help desk. And some bots for other customers. We use its excellent integration with Telegram, Facebook Messenger and even WhatsApp. It allowed us that in both platforms the iteration was identical since they all used SAP CAI as a base.

Used for Ease of Approval Processes for Data Governance. Used by the specific department that does usability analysis. SAP CAI makes it easier to use the interface on the go.

We are currently using SAP Conversational AI within our R&D department. We currently use it to solve customer use cases and make pre-sales demos for potential new customer cases. We try to solve use cases that demand high repetitive actions. As of right now SAP Conversational AI is getting more popular within our organizations resulting in a broader (private) usage by our employees. Especially after an internal hands-on session we organized for some knowledge transfer within the company this phenomenon has surged.

We are evaluating this technology for recommending it to our customers and possibly integrating it into our stack. The first impression is very good. It seems to do quite well what we need it to do.

We used it to prepare a POC for a contest. We needed to let a user insert a warning notice by just using his voice.

SAP CAI is being used on our main product diffusion channel. It is used by all our clients and inside our product management and sales department. For our clients, we use SAP CAI in order to assess their soft-skills and to help them to improve these skills. Our product management and sales department use SAP CAI in order to update the product, register new clients and manage the database.

I am currently implementing it at an infrastructure company. I find the connection with SAP S/4HANA On-Premise systems is not very efficient yet. Moreover since I am implementing in Dutch, I found the entity recognition algorithm of Conversational AI shows some anomalies.

We use it to implement a simple Chatbot for our own website. With the way the user interface works we could use it in other departments and other people could implement conversational flows. This way we don't need engineers to work the bot. With simple CSS manipulation we can make the bot look the way we want it to.

This was used in a pilot run for a support project to make data easily available to customers without waiting for a support team to reply back. With the help of SAP CAI, we were able to get the table level data onto the customer ticketing tool which reduced the information time, reduced new ticket creation, and reduced man hours.