ANLY482 AY2017-18 Group9: Project Overview
Contents
- 1 Motivation & Business Problem
- 2 Project Objectives
- 3 Constraints
- 4 Project Details
- 5 System Architecture
- 6 Predictive Variables(Seller Attributes)
- 7 Response Variables (Seller Performance Metrics)
- 8 Data Source
- 9 Methodology
- 10 Data Collection
- 11 Data Exploration and Cleaning
- 12 Data Modelling
- 13 Data Visualization
Motivation & Business Problem
INTENT
Our project aims to help employees make better informed decisions on the right ordering amount of ingredients for each branch in the future.
PROBLEM
- Difficulty predicting the right amount of ingredients to order
- Different stores have different constraints on stocking of ingredients
- Do not understand how much ingredients required during promotional periods