Predicting Customer Churn Before It Happens
A practical guide to predicting customer churn. Learn how to build a churn prediction model, from data prep to actionable retention strategies.
Categoria: Use Case
AI City Intelligence
Imagine being able to make better decisions about where to live, where to establish a new business, or how to understand the changing dynamics of urban neighborhoods. Access to detailed, up-to-date information about city environments allows us to answer these questions with greater confidence, but the challenge lies in accessing and analyzing the right data. […]
Achieving diverse product recommendations
In this blog post, you’ll learn about some examples of decision processes you can use in recommender systems: do you see any usage for recommending less popular products as a way to improve your business? You will see it now! The Use Case Let’s imagine a use case where you are building a MOOC platform […]
Multiple Product Forecasting in the construction industry
In this article, we will cover a use case in the construction industry related to forecasting the needed materials for construction and the time in which they will be required. In the construction industry, there is a lot of uncertainty between the order time and the time in which it is actually executed, due to […]
Food and Beverages: Reducing waste using AI
During recent years Artificial Intelligence has been applied to almost all domains and industries to improve or solve specific problems identified by humans. One example is the industry of Food and Beverages, where AI models are being used for different purposes: Finances: by creating more predictable demand forecasts. Innovation: by suggesting new ingredients combination and […]
Insights in AI applied to Credit Scoring
Having access to liquidity has been a major issue for humankind for financing both personal life aspects (e.g., housing, cars, college) and for business initiatives (e.g., starting, growing, and expanding a business). The amount of uncertainty that both faces of this exchange – i.e., the creditor and the prospective debtor – face are paramount. On […]
ML System Design: Federated Learning
NILG.AI, together with Neu.ro decided to try a format similar to a Reading Club, where the topic is not a specific paper but an entire research area. After a short discussion, we had a System Design part where the team described a specific use case to apply the new approach. Ideally, the discussion would stick […]
Automated Valuation Models for Real Estate
When we decide to buy or rent a real estate (apartment, room, house, etc), one of the most important search criteria is the price. Its value depends mostly on characteristics, such as location, year of construction, number of rooms, area, central heating, etc. However, two properties with the same characteristics, for example, can be sold […]
Address validation for optimizing delivery success rate
In recent years, the e-commerce industry has been increasing significantly in several sectors like food, retailing, and electronics. In the latter part of 2020, this increase has been even higher with growth 3 times greater than the previous years, mostly due to the pandemic context we live in, which boosted the number of online shopping. […]
An Overview of Churn Prediction
Churn prediction – tandem with engagement – is probably the most wanted use case we get from Marketing departments across industries. For those of you that do not know what churn is, basically it’s associated with customers that will leave your company/services. So, it shouldn’t be a surprise that companies put a lot of effort […]