This growth of over 280% will be driven by the emergence of new personalised services, made possible by incorporating AI and LLMs (Large Language Models), according to a new study from Juniper Research.
Conversational commerce is the use of messaging or natural language interfaces; enabling businesses to interact with customers for use cases including inquiries, placing orders, and customer support.
The report predicts the automated services provided by AI‑based LLMs, such as ChatGPT, will become key differentiators for conversational commerce vendors in 2024. Juniper Research analysed and scored leading conversational commerce platforms based on product capabilities, depth of services and market presence, and identified the top 5 leading vendors in the market:
The top-ranked conversational commerce vendors offer self-managed, AI-based chatbot solutions to enterprises via multiple channels, including RCS and OTT business messaging apps. Given the growing adoption of conversational commerce via omnichannel communications, the research urges leading vendors to introduce LLM-based conversational services across as many communications channels as possible.
The research identified voice channels as an underserved emerging opportunity for vendors. Therefore, they must implement LLM-based conversational services into voice channels, including voice assistants and CCaaS (Contact Centre-as-a-Solution) platforms to maximise future revenue. To capitalise on the $43 billion conversational commerce opportunity within retail, vendors must leverage LLMs to immediately support multiple languages.
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Find out more about the new report, Global Conversational Commerce Market 2023-2028, or download a free sample.
Banking 4.0 – „how was the experience for you”
„So many people are coming here to Bucharest, people that I see and interact on linkedin and now I get the change to meet them in person. It was like being to the Football World Cup but this was the World Cup on linkedin in payments and open banking.”
Many more interesting quotes in the video below: