Conversational Agents

Understanding the “taxonomy” of Bots, as they are commonly referred to, is an important precursor to developing an agent capable of staying on-brand and amplifying the level of your customer engagement. Most of us are familiar with Siri, Cortana, Google Assistant and of course Alexa, which are all examples of relatively sophisticated voice recognition AI conversational agents. They rely on deep learning generative models, allowing them to perform a wide range of tasks, in context, however they are generally not capable of long conversations, which limits their ability to drive a customer experience. At the other end of the spectrum, the Skyscanner Bot can hold a longer conversation (where do you want to go, when, etc), but is dependent on a retrieval model that limits the breadth of conversation it can undertake. We are always happy to discuss what the taxonomy of your bot should be. 

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Market Potential

The global chatbot market (GBM) in 2015 was valued at around $113m. It is forecasted to expand to a CAGR of 27.8% from 2016 to 2024 in terms of revenue. By 2024, the GBM is expected to reach $994.5m – suggesting vast market potential. Our advice? Act now

Integration of bots on social media

From recent studies, we understand that from 2011 to 2015 messaging apps have grown from 200mn monthly users to 2.8bn. Whereas, social media apps have experienced a growth of 1bn users in 2011 to 2.3bn users in 2015. Solid indications of where the future of bots exist. 

Limitless Potential

Conversational agents can be integrated into most messenger apps, including Skype, Telegram, Facebook Messenger, Twitter and so on, allowing you to target your audience on the platform that suits them best.