Communicating high-street bakery sales predictions using counterfactual explanations.

Abstract

This white-paper aims to help CatsAi better serve their client (a largewholesaler) to estimate bakery orders to reduce waste and underdelivery. The main tasks were to predict high-street sales based onmeteorological factors and apply explainability techniques to effectivelycommunicate their outputs to the client.

Satyam Singh

Machine Learning Researcher | Neural Networks & Applied AI

Machine learning researcher focused on building efficient neural network architectures for real-world applications, spanning deep learning, computer vision, and NLP.