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.
Type
Publication
In Zenodo, Alan Turing Institute
Prakhar Rathi
Data Scientist
I am a data scientist with a passion for creating innovative solutions to complex problems.