Forecasting @ Artefact

A novel approach for encoding categorical variables, designed to enhance trend modeling, increase forecasting accuracy, and reduce bias.

A guide on how to use counterfactual forecasting to estimate the cost-effectiveness of past in-store promotions in retail.

This guide will help you figure whether Prophet is appropriate or not for your forecasting project

The path to developing a high-performance demand forecasting model, Part 4

Deploy an app to train, evaluate and optimize time series forecasting models visually

The path to developing a high-performance demand forecasting model — Part 3

The path to developing a high-performance demand forecasting model — Part 2

The path to developing a high-performance demand forecasting model — Part 1

Our review of recurrent issues encountered in a sales forecasting project, and how we handled them for the M5 competition.

A data science journey, from notebooks to a deployed product — Part II

A pragmatic guide into creating a data science product with limited data and high business constraints

A data science journey, from notebooks to a deployed product - Part I