10 Key Sales Forecasting Techniques for 2025
Jul 2, 2025 in Machine Learning
Discover the top 10 sales forecasting techniques for 2025. This guide covers everything from time series to machine learning for ultimate accuracy.
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Ahoy! and welcome to the kick-off of our blog on Artificial Intelligence.
Kelwin on Jan 23, 2020
At NILG.AI, we worked hard to become an active member of the Data Science community in Portugal, which has played a fundamental role in our initial growth by building an ever-growing network of people and ideas. This AI blog is a new way of giving back to the community by creating a space for continuous discussion and exchanging ideas. Here, you will find diverse content about AI and its impact on multiple industries. The content will range from theory to applications, AI to business, and machine to human. While the content structure
will evolve with time, we anticipate that we will cover the following formats:
This AI blog aims to diversify our channels to share knowledge with others. In 2019, we promoted multiple initiatives. Namely:
Besides these initiatives, we forecast that 2020 will be the year where:
The future is uncertain -yes, even for a company that focuses on predictions– and, while we don’t know for sure the success of this and other initiatives, we know that as long as we can help others to sail beyond the AI hype, we will keep working to fulfill our vision.
As long as we can help others to sail beyond the AI hype, we will keep working to fulfill our vision
We hope you enjoy the result as much as we enjoy the process.
Stay tuned!
Araújo, Ricardo J., Kelwin Fernandes, and Jaime S. Cardoso. “Sparse Multi-Bending Snakes.” IEEE Transactions on Image Processing 28.8 (2019): 3898-3909.
Rebelo, José, Kelwin Fernandes, and Jaime S. Cardoso. “Quality-based Regularization for Iterative Deep Image Segmentation.” EMBC. IEEE, 2019.
Almeida, Eduardo Nuno, et al. “A Machine Learning-Based Quality of Service Estimator for Aerial Wireless Networks.” 2019 WiMob. IEEE, 2019.
Silva, Wilson, et al. “Interpretable Ensemble Model for the Aesthetic Evaluation of Breast Cancer Treatments.” RecPad, 2019.
Rio-Torto, Isabel, Kelwin Fernandes, and Luís F. Teixeira. “Producing Decisions and Explanations: A Joint Approach Towards Explainable CNNs.” RecPad, 2019.
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