A brief IT perspective for those who wonder how it all works.
You must have heard of companies like Avon, Amway, Herbalife, Oriflame and NuSkin many times by now. Or maybe you have even met or seen one of their distributors/consultants around your neighborhood, at work or at a party. These companies together generate billions of dollors worth of business each year. Despite the pyramid scheme critisms, these companies make a lot of people happy too. Actually, their distributors/consultants does just like what a typical sales team does. They SELL. And if they sell well, they can make considerable amounts of income .
If you are processing high volumes of orders in your warehouse, you are probably also using too many pickers to pick and pack the orders you get. Humans are not robots, so we make mistakes. This is also valid for your pickers too. But there are ways to reduce the number of mistakes they make while picking. In this article I will try to cover some of the most common techniques that can be used to increase your picking performance and accuracy.
Many people think that it is not a good thing to display out-of-stock (OOS) or discontinued products in e-commerce web sites. But let us not jump to a quick conclusion like this one, unless you have some statistical data or analysis which backs your decision. In e-commerce arena, every move you make has an immediate impact. Being OOS does not sound good but making a decision just by thinking that it sounds bad, might cause bigger problems for your sales. What I would do is I would try to find a way around the OOS problem and still capture some sales over it. In this article I will try to share some methods and techniques you can use to achieve this.
Number of visits or hits your e-commerce site gets is not alone enough to understand your e-commerce business is doing well. You may be getting hits but not making sales out of that. So the question is “are you getting a good deal of orders over your e-commerce site?” To understand this we need to be familiar with the simple terms like “Conversion Rate” and “Abandonment Rate”. In this article, I will try to explain what these mean, how they are calculated and how you can achieve better results.