# Theoretical Analysis of an XGBoost Framework for Product Cannibalization

arXiv: https://arxiv.org/abs/2112.01566 · HTML: https://mlsanity.com/paper/2112.01566/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 1 references that are in the map.
- First posted on arXiv 2 Dec 2021.

## Builds on (most cited first, 1 of 1)

- [An XGBoost-Based Forecasting Framework for Product Cannibalization](https://mlsanity.com/paper/2111.12680/) (2021)

## Abstract (arXiv)

This paper is an extension of our work where we presented a three-stage XGBoost algorithm for forecasting sales under product cannibalization scenario. Previously we developed the model based on our intuition and provided empirical evidence on its performance. In this study we would briefly go over the algorithm and then provide mathematical reasoning behind its working.