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Showing posts with the label ecommerce inventory analytics

Learn how to Restock your Inventory on Amazon FBA with AI

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The main problem that e-commerce sellers encounter is not knowing when and how many items to restock. In a nutshell, e-commerce companies need to know the optimal volume to restock otherwise it puts them at jeopardy of overstocking and understocking. We want to dodge these three scenarios because overstocking means holding excess inventory sitting on warehouse racks where the long-term storage fees will start racking up (especially in Amazon warehouses) to a substantial number. The long-term warehouse fees can be around 20-30% of your inventory cost, another reason to avoid overstocking. Understocking should also be avoided because you will miss opportunity cost for not being able to sell if the item had otherwise been restocked to the optimal amount. The table here shows the inventory status of these 5 items. The items are classified by their restock status with the items that need critical restocks showing up first and the least urgency on the bottom of the list. Items that are out

Ecommerce is completely changing our consumption schedules

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Internet does not have a schedule: everything is open 24 hours a day during all days of the week, whether it is a holiday, or at night or an hour too early in the morning. There is not a moment of rest and there are no moments when you can close for vacations. The Internet is an environment that is always open, always available and where things are done when you feel like it or when you feel you need it. And this has changed the dynamics of access to information, relationships and, of course, consumption. The network has eliminated the opening hours and has made the stores have become an always active and always open element. Ecommerce does not have schedules and consumers can buy their products at any time. And this has already had an impact on what is done on a recurring basis and the customs of consumers. Consumers no longer buy with store hours. Shopping has spread throughout the day and, especially, at night. The most salient finding of the study on buying habits and the timing of