Aug 8

Customer personality for churn intervention

For most consumer-based companies around the world, the top priority is to prevent their customers from leaving their service, otherwise known as churning. This is a widely accepted truth in the business world, as consumers and customers are the lifeblood of any company. Yet, despite this, 85% of customers say that a company could have done more to retain them. This is likely because most companies lead studies in order to predict churn as it happens, but not on how to prevent it. While predicting when a customer will leave is a vital part of the process, there needs to be effective preventative measures in place as well.

That being said, companies today already have several ways to intervene …

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Aug 8

Do we know what good behavior looks like?

Since humanity has developed civilization it has attempted to lay out rules of engagement that always retain a sense of civility. As the course of civilization, and the structures of the societies within, have changed, so too have the behaviors that uphold those ideas. In most current societies, the guidelines of behavior are wide and all-encompassing, making it difficult to distinguish one right from another. Good behavior is held up to such a variance of different rules and expectations, that it is often hard to lay out explicitly what is good; except in the face of what is bad. Most humans approach considerations of behavior (if they consider their behavior at all!) in polar …

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Aug 8

Recommender systems with personality

Recommender systems in technology have become an integral part of human digital society. Human existence is saturated with options for everything, from swimwear brands to cellphone models, to cruise package options! Thus the adoption and use of recommenders has been wholly invited into almost every business. Since its inception in the 1970’s, recommenders have grown and morphed as technologies have become more sophisticated. Including the adoption of economic behavioural constructs such as nudges, and other personalization techniques. ecosystem.Ai has the technical expertise to build highly reliable recommender systems, as well as having the knowledge to construct behavioural models to make them even more effective. We also go one step further, by integrating psychological and sociological elements in order …

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Jul 7

Using machine learning to detect happiness

In theory, a business’s top concern is their customer’s happiness. After all, a happy customer means a loyal customer, and a customer who is unsatisfied is generally bad for business. Therefore, businesses today should do well to track their customer’s satisfaction, and then attempt to make their customers even happier. This is easier said than done, as happiness (and the measurement of it) is more complex than it seems. 

Happiness can be understood in several ways, both quantitatively and qualitatively, yet several businesses either view it under a limited scope or do not consider it at all. Several businesses, with the intent of “interacting” with the customer, may send out surveys for customers to fill out about …

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Jun 6

Machine Learning for Financial Wellness

In the world of artificial intelligence, many shifts have taken place to allow for a more human centric approach to business. One such shift is financial wellness. This article introduces the concept of financial wellness and the practical implementation of using machine learning and AI to give customers a financial wellness score. There are further considerations regarding the concept, including why, despite it being an extremely relevant topic, it has not yet been implemented globally. 

Financial wellness is defined in a number of ways; the most familiar of which refers to an individual’s overall financial health. It is often described as a position of  ‘being prepared for an emergency’, ‘meeting financial goals’ and ‘budgeting spends’, amongst others.

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