AiHello AutoPilot.Amazon Ads PPC Automation Marketing Services Software Tool

    Advertisers and Marketing Specialists thrive on boosting the sales of the product and simultaneously keep up with the budget of their ad campaigns. Mostly every expert uses PPC (pay-per-click) , a model of internet marketing in which advertisers pay a fee each time one of their ads is clicked. Essentially, it's a way of buying visits to your site, rather than attempting to “earn” those visits organically.   In this era, it’s hard to tackle these complex processes on our own and maybe not feasible to execute. This could lead to inefficiency, wastage of time, and ultimately a loss for the company. Hence, to optimize it and work smartly, technology gave us “PPC Automation” . A simple solution for complicated tasks!   We can now use various “PPC Automation” tools to automate as many as possible manual processes by leveraging Artificial Intelligence and Machine Learning algorithms. We can set parameters with some boundaries for managing our campaigns. Also, PPC automation helps in

  Many business executives complain that the top pain point to them is the sudden negative variations in the demand of the product. Changes that no one saw it coming! The world’s largest IT research firm, Gartner came up with a term for the same problem that many organizations suffer from : Demand Volatility.    There are numerous factors that affect the demand of a particular product or service, be it weather fluctuations, trends, availability of alternatives, period of recession and looking at the power of Social media- even posts by Social influencers or celebrities impact the buyers.     For instance, let's look at both sides of the coin here.    Daniel Wellington, a Swedish watch startup, is one company that uses a global network of influencers to market their watches. One of the influencers on Instagram posted an eye-catching and well-composed image with a caption that not only talked about the watch in photo but also how her followers could get one with a discount. Due to it

How to lower your amazon seller fees     The digital era has opened up new opportunities for those that are willing to start a business. If you are searching for a spot in the online market, Amazon can become a great marketplace for your company. In order to sell on Amazon, there are two options: either we take care of the entire selling process, or we rely on “Fulfillment By Amazon” (FBA). With FBA we basically "rent" space at the warehouses of the American company, which from that moment is the sole responsible of processing your shipments. For many companies, this represents a great advantage, since the logistic management of an e-commerce business can become a real headache. However, despite the attractiveness of this system, paying FBA fees can cut into your bottom line.      To combat overcrowding in their fulfillment center, Amazon began instituting a penalty on a low Inventory Performance Index (IPI) for their third-party sellers, who provide just over half of their s

  Just wrapped up the user validation and market survey on Reddit. The results were tiny bit off from what I had anticipated. It made me think that most of tech nerds live in a bubble compared to the rest of the citizens. I say this because AI & Machine Learning really excites me. I had anticipated huge response from sellers about utilizing machine learning to help them sell better. However the results were mixed. Most didn't care what algorithms or technologies were used. They had specific pain points and knew what they wanted as opposed to people like me who wanted to use machine learning to see where online ecommerce to could take us. If you are still interested in the survey you can click here to take part in it https://docs.google.com/forms/d/e/1FAIpQLSfFyd5oVgwQ1e4qTAIJboyWyPfOuiqKeMv_EpYoxolmmsAmkQ/viewform#response=ACYDBNhSZxGkElrFFYk95_d5s0FErL6mQuiK_sIe9Qjjs3l-6rv3mr65a3Od

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 Spark

Multivariate Time Series Forecasting is an important problem in many domains. Be it forecasting the demand for a product, or finding weather patterns, using time series parameters from the present to predict the future is vital to many organisations. In this article we are going to see how to use recurrent neural networks with convolutional neural networks to predict time series forecast for grocery store sales. The data can be found here , and the code can be found here . This implementation was developed as a prototype for AI Hello, a company based in Toronto that provides e-commerce solutions including sales prediction for sellers on e-commerce platforms such as Amazon, Woocommerce , and Shopify. We are using an implementation called LSTNet to perform this prediction. LSTNet uses convolutional networks and recurrent networks in conjunction. Additionally, it also provides the capability to detect long or short term patterns according to the nature of the data. Data Preparation and

[et_pb_section fb_built="1" admin_label="section" _builder_version="3.22.3" collapsed="off"][et_pb_row admin_label="row" _builder_version="3.22.3" background_size="initial" background_position="top_left" background_repeat="repeat"][et_pb_column type="4_4" _builder_version="3.0.47"][et_pb_text admin_label="Text" _builder_version="3.0.74" background_size="initial" background_position="top_left" background_repeat="repeat"] Machine learning is the next big wave after the Internet that's going to change lives especially in developing world and it's interesting for us, as an AI focussed companny, to practically see how it is making life easier for our customers. It's very hard knowing what challenges ecommerce sellers face in developing world unless we speak to them and for us at AiHello speaking to one of the biggest sell

Introduction My primary aim was to predict the sales of an item given the Best Seller Rank on Amazon. Predicting the sales helps me in other use cases like suggesting sellers the best products to sell. My final aim is to provide data insights about any product: How much it will sell as well as when, where and how. What is Amazon's Best Seller Rank? Best Selling Rank is a ranking system provided by Amazon that is linked to the number of sales of that product. This rank is calculated frequently. An important point to note is that Best Selling Rank is a 'ranking system' and by itself it doesn't mean anything.     A rank of #1, therefore, means that the product has sold more than any other product in that category, on that marketplace.   This kind of makes it relatively easy to predict the number of sales of a product if we know the sales of other products ranking close to it.   How did we get the initial sales data? I have been selling professionally on Amazon and have bee