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Welcome to AiHello Machine learning e-commerce application. The goal of this application is to optimize selling physical goods on the internet via Amazon & eBay. We will be optimizing the following features in order to create a 24x7 automated selling program Pricing of the product based on current date: we want to increase the price of a product pre-emptively based on historical prices of similar products. For example we can know beforehand that snow shovels are in demand during winter so we can increase prices before winter approaches and start dropping prices as winter fades Pricing based on competition : we want to avoid the race to the bottom by constantly lowering the price Keywords optimization based on product description  Estimate sales of competitors and "lookup" competitors for optimizing inventory  Forecast sales & profit Automated personal customer support  Suggest more products to sell based on current sales  I will be using Apache
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Make buying online a differential experience to buy in store A few years ago, all that mattered when buying online was that the price offered by the products was lower than that of the physical stores. Consumers based their interest in the online market in the fact that what they were going to find would be cheaper than what they found in stores as always. The price continues to be a differential element to buy on the internet, but it is not the only one that matters and is not the only one that pushes the consumer to the arms of the network. Online stores have to create a unique, quality experience that sets them apart from physical stores to attract consumers' attention. Let's follow the example of online furniture stores. How can you create a completely differentiating experience that makes consumers come to the network to get the products? Brands can draw on many elements that can create a potential for purchases that is even superior to that of physical stores. Online
If you have put your product on Amazon and have it listed, you are probably hoping that the description is perfect. Here is our checklist when it comes to your product listing. Do keep these in mind when cross checking your product descriptions Mention the benefits, not the features This is an elementary rule of selling anything. Don’t concentrate on the features of your product, concentrate on the benefits. The buyer is not interested in knowing what the product can do; she only wants to know how the product will benefit her. This is basic knowledge, and while it’s important to do this, you need to be careful about how you do it, too. Start with writing down everything you know about the product. Try and be interesting; be creative and witty. It’s okay to write anything good about your product, even things like the colour, the material, special features, or ergonomic comfort. Once you’ve done this, pick the best ones and rewrite them, this time focusing on the user and how it will
Smart fulfillment is at the core of AiHello’s platform. If you’re an eCommerce seller who does business on Shopify, Woocommerce or Amazon we help you smartly fulfill your orders. Let’s better understand this with an example. Say, I sell on Woocommerce and I sell all across the world. The main challenge is fulfilling each order that may be originating from various different countries all across the globe. In the case where a customer from the US or Mexico purchases an item, then we would want to fulfill the order through Amazon US since it makes geographical sense to fulfill that order through Amazon US. If a Woocommerce user buys your product from Amazon France, Amazon Italy, Amazon Spain or what have you, AiHello helps you fulfill that order through Amazon UK because, again, it is the most efficient means to fulfill that order. On Woocommerce, we have enabled fulfillment by AiHello so that we can choose whichever order that comes from that country, we will fulfill that order with th
The reasons are very similar in both cases: savings, variety, comfort and experience The current consumer is multichannel, and is willing to buy through all kinds of ways: from the traditional store to the computer, from the mobile app to social networks. What he wants, however, is to be able to decide at any time and place what channel he wants to use on that occasion to get the desired product. But what leads you to opt for ecommerce or, conversely, to go to the store? A new GfK survey of more than 23,000 buyers from all five continents reveals that the motivations for choosing one option or another are actually very similar. One of the main reasons that consumers are betting on online shopping is the possibility of saving money, since through the Internet it is possible to compare and access a large number of retailers, and also to those who propose real bargains. In fact, the economic saving is one of the main factors that pushes to buy online, and that was considered by 55%
A major reason why many ecommerce businesses thrive and do well is optimizing their inventory management. In layman’s terms, knowing exactly how many and where to restock an item. What to stock, how much to stock and where to stock are the three pillars of a successful ecommerce business and if one of those pillars are disturbed it will affect the business’ profit margins and revenue. Knowing how much to stock lays the foundation and the rest and do what a human does best – running a business. You let the AI do the heavy lifting of how much to restock, where to restock etc. Here I will show you how the AI informs you how much to restock during the holidays. The holidays are generally a period in which an ecommerce seller will either makes a killing with a high profit margin or does not sell well and get bombarded by extremely high warehouse fees. You need to be prepared months in advance because there is are lead times, shipping times, and the closure (or backlog) of Amazon warehouse
In e-commerce is equally important what happens before as what happens after the purchase. Before the consumer makes the final click that will cause the product they want to become a purchase, the brands have to pay special attention to a large list of items. The design of the web, the photos of the product, the comments of other consumers, how the prices of different products or services are presented. All these elements are crucial to convince the consumer and all of them have become the elements of manual that all the brands and all the companies take care of. But the truth is that these are not all crucial elements and are not the only ones that brands should watch with falcon eyes. One of the trends in e-commerce is that of thinking that once the sale has been closed the work is already done. The consumer has bought, the product has been shipped and everything the seller has to do or should do is done. However, this reasoning is a mistake and only causes problems and failures in
Welcome to AiHello Machine learning e-commerce application. The goal of this application is to optimize selling physical goods on the internet via Amazon & eBay. We will be optimizing the following features in order to create a 24x7 automated selling program - Pricing of the product based on current date: we want to increase the price of a product pre-emptively based on historical prices of similar products. For example we can know beforehand that snow shovels are in demand during winter so we can increase prices before winter approaches and start dropping prices as winter fades - Pricing based on competition : we want to avoid the race to the bottom by constantly lowering the price - Keywords optimization based on product description - Estimate sales of competitors and "lookup" competitors for optimizing inventory - Forecast sales & profit - Automated personal customer support - Suggest more products to sell based on current sales I will b