Essay on Cango Week 4 Analysis

1877 Words Sep 20th, 2010 8 Pages
Running Head: Individual Analysis Report

Week 4 Analysis Report
DeVry University, BUSN460 ]

Overview
After reviewing the material one can see that CanGo is ready to move forward with upgrades technology. CanGo is looking to expand, but is still unsure of which way to go. Jack met with Warren and Debbie in which, he shared with them the ideas of an Automated Retrieval/Storage System (AS/RS). Jake explains to them that process flow charts give them the data to review. He states that they need to simplify, eliminate, automate, and integrate. Jack shares with Debbie and Warren the information about bar-coding and how it would benefit the company. He explains the vertical material movement and how it benefits a distribution facility
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This includes sales and returns.
Members of the team discussed the difference in physical shopping as opposed to online shopping. They were going over the data in regards to the number of people who begin shopping online, but never buy the item. When this happens the item remains in the cart. What keeps people from placing the order and why is it that people are more apt to make a purchase in the store rather than online. Andrew decided that they needed to do research and see what might be keeping customers from purchasing items, and wants to see if the 75 % rate is correct for CanGo shoppers as well. Andrew wants to get an understanding of what is going on in there virtual shop. He has them investigating the hit and clicks numbers and is giving them certain pages to review. Andrew wants them to look at problem recognition, informative search, and alternative evaluation, along with the purchase and post purchase evaluations. The data is required ASAP. This will give them the data to know if this 75 % includes their business as well. Andrew asked Nick to assist Gail with the research. This data will help better the web site and keep the customers at the site and give them reason to click and finish the purchase. Customers are unpredictable when it comes to them making purchases. The research will also suggest ways to improve the system for future purchases. There are many types of influences that can

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