Roadmap for Conversational AI
Owing to the technological development and changes in the customer
behaviour, e-commerce has developed over different levels of maturity in
recent years. The challenge for companies is to recognise relevant technological and market trends and assess them accordingly.
Companies are currently facing the challenge of achieving the next level
of maturity—so-called Conversational Commerce. This level of maturity
seems desirable at present because current trends could revolutionise the
sales sector. This means that those who proceed slowly with the implementation of Conversational Commerce could lose customers to competitors. On
the other hand, companies could, for example, benefit from public attention
by incorporating bots at an early stage (Fig. 4.8).
Thereby, the leap to Conversational Commerce does not represent a gradual, but a fundamental advancement of e-commerce. This is not only about
another voice-controlled touch point. It is much rather about a new ecosystem which automatically initiates and coordinates ordering processes driven
by customers and situations. Intelligent assistants either follow the instructions of consumers or recognise the need to take action by themselves, e.g.
reordering of detergents or travel booking according to the appointments
diary.
However, it is also decisive that the transition to Conversational
Commerce is well thought out and planned. One possibility to do this sys-
tematically is the DM3 model presented in Part II AI Business: Framework
and Maturity Model
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