Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) vs SAP Conversational AI

• Tealeaf provides a unique view into a website beyond what typical web analytics can provide.
• It captures all of a website's traffic, no need to tag pages or decide ahead of time what data you want to capture.
• Data is captured and processed in real-time which reveal unknown issues as they are happening.
• Replay session to see what a customer or user actually did and not just they remember doing when a problem occured.

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• 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.

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• More knowledge sharing sessions
• UI/UX Improvements
• More tooltips on icons

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• 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 Some of the very nice tutorials and docs seem outdated or not SAP-branded, which can be confusing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

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• The ROI question needs to be focused on clients and not our use internally. We leverage this as a platform for designing customer journeys for our clients.
• The ROI case is far easier to make for eCommerce operators. Customer journey failings can be easily quantified and seemingly simple issues can generate large ROI outcomes. For web assets without a trading bias, ROI can be established using notional value attribution. For example, a lead for motor insurance that is lost can be costed based on average policy value over a typical lifetime; struggle on a customer self-service portal can be quantified on the cost of handling through a call centre; etc.

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• It’s a very good initiative by SAP to bring SAP Conversational AI which is much needed in current business scenario and with the emerging other ERP solutions that also have their chatbot tools. Having SAP Conversational AI would reduce dependency on other platforms to build a digital assistant. Also, gives much better integration to SAP’s own various products
• However, it still needs to grow stronger as compared to the capability of IBM’s Watson, Amazon’s Lex and Google’s dialogue flow where it comes to enable its capability to work as voice enabled chatbot to work in Alexa and google home

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