Difference between revisions of "ANLY482 AY2017-18 Group9: Project Overview"
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The aforementioned features will be exposed to the customers to help them identify the better/best sellers to purchase from. | The aforementioned features will be exposed to the customers to help them identify the better/best sellers to purchase from. | ||
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| + | Our team will focus on correlations between different factors such as promotions, sales, shipment etc. and how these affect sales during different seasons of the year. | ||
== Constraints == | == Constraints == | ||
Revision as of 20:52, 2 January 2018
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
Project Objectives
Our team will focus on correlations between different factors such as promotions, sales, shipment etc. and how these affect sales during different seasons of the year.
