Mayur Rele: The use of technology all over the world is increasing at a great speed and it’s quite fascinating. One of the most popular technologies leading the world at this moment is Augmented intelligence which is launched by iAdvize, a leading conversational marketing platform. Brands and their customers exchange many messages on the iAdvize platform every day and the platform helps many brands and online retailers to improve customer experience. With an increase in online conversations since the beginning of the pandemic, iAdviz has announced the launching of an Augmented Intelligence solution which make use of Artificial and human intelligence and combine it into a messaging system which makes brands and online retailers fully understand their customers, know what they want and also reply them effectively.
Augmented intelligence is majorly used to improve human decision-making by accumulating a wide range of data from many sources which is used to predict customer’s preferences. The iAdvize Augmented intelligence is used to analyze human conversation on the online platform and try to know the intention of the customer. This help many brands and online retailers to easily identify their potential customer without wasting much time. This new solution combines the strength of a machine with human intelligence when surveying value from a customer’s data which means you can predict a customer’s preference by using smart algorithms that gives immediate data-driven predictive insights.
Read on as Mayur Rele a cloud security expert who has experience in overseeing global technology in e-commerce, healthcare, and technology companies take us through an Augmented Intelligence solution launched by iAdvize to improve e-commerce brand conversation
How does Augmented intelligence improve e-commerce brand conversation?
Recognition of potential customers
With the development of Augmented intelligence by iAdvize, many brands and online retailers will be able to separate people that only check their products online and those that want to purchase them. This will help them to know how to respond to individual customers and also offer them the best customer experience while minimizing individual conversation.
Access to brand expert
After identifying potential customers through prediction and conversation analyzes, the iAdvize conversation platform will provide an option of live chat to the customers, a place where they have the opportunity to chat with the brand expert and learn about the product. This live chat also helps to answer all their questions and eliminate any doubt about the product.
The use of human and artificial intelligence
Augmented intelligence captures all customer’s data and also analyze their online conversation. This is achieved through the collaboration of human intelligence and the use of learning machines, artificial intelligence, and other tools to automatically and continuously analyze many online conversations and draw out predictions and intentions of the conversations. Also, human expertise is added to improve understanding by training the intuition and judgment of the Augmented intelligence by iAdvize expert.
To improve customer’s conversation experience
Augmented intelligence is used in the iAdvize platform to improve customer’s experience at every stage of the shopping. This is achieved through the use of Augmented intelligence bots which is able to fully understand customer’s intentions and gives immediate answers to customer’s questions 24/7. The new solution also analyzes customer conversation history where it predicts customer’s intentions. Also, the conversation platform sends a customer’s requests to the best expert according to the customer’s conversation and availability.
The iAdvize Augumenrd intelligence helps brands to know the intentions of their customers which makes them handle customers differently and also operate effectively.
Also, iAdvize Augmented intelligence does not replace human but rather transform how online retailers and brands deal with their customers and also increase shoppers engagement through the use of machine cognition to know behavioral data and predict customers intention.