In the thriving world of eCommerce, multi-vendor marketplaces are a force to be reckoned with. Last year, Amazon reported $469.8 billion in sales, and Etsy's market value hit $21 billion. Remarkably, 90% of U.S. retailers are marketplaces, and they accounted for 58% of global online sales before the recent surge in eСommerce.
In this article, we will explore all the aspects of multi-vendor marketplace development, offering key insights and strategies to navigate and succeed in this booming industry.
Are you organizing a conference and want to make it a memorable experience for your attendees? Look no further than a conference app! In this article, we'll explore the key goals of event app development and the must-have features that will make everyone love it. From providing essential information about your event to facilitating networking, engagement, and learning opportunities, your conference app has the potential to take your event to the next level.
Having a website and two native apps for Android and iOS is a luxury that not every business can afford, especially small businesses. It would be perfect to combine a website and an app that works on any platform. A PWA lets this dream come true. It's no surprise that many companies are testing the waters with PWAs. According to Emergen Research, Global PWA market size is expected to surpass $10 billion by 2027 with a compound annual growth rate (CAGR) of 32%.
Is it as simple as contacting a progressive web apps development company? Do PWAs really solve all problems and suit any business? Let’s find out.
To turn an idea into a tangible product you need to think it through clearly. The best way to do this is to write a Software Requirements Specification.
Having an SRS is the first step toward building your product. Without one, you’ll simply wander in the darkness and waste your time and resources. The main risk is that you can waste all your money before you produce a thing. This happens because no one knows for sure what should be made, or how to make it. As a result, there are endless arguments and reworks.
In this article, we will explain how to tame an SRS to make it work for you so you can launch your product on time and within budget.
In the business world, keeping up with new trends is like catching a train - you need to go really fast to make it. So let’s learn how to become one of the pioneers in ChatGPT plugin development. We, at Greenice, have experience in working with different GPT technologies and are ready to help you tame them. So let’s begin!
“When you think about recommending something to someone, there’s a real business reason why you might want to do that.” - Jack Chua, Director of Data Science at Expedia.
Machine learning recommendation systems are not just a trendy feature of online stores. It is a mighty tool that can propel your business to the next level if used strategically. No wonder Jack Chua suggests always having “a great tie-in to the underlying KPI of what you want to drive”. For example, increase sales, customer retention, cross-selling, and so on.
If you’re still hesitating on how exactly to use recommendations to invigorate your business, we invite you to learn from the experience of those who already made it work brilliantly!
We collected the best examples of machine learning implementation in recommenders (including our own development projects) and explain in plain English how to build a machine learning recommender system from scratch. Are you in?
Is your eCommerce business suffering from costly returns, customer churn, or margin decreases? Do you try your best to optimize prices but spend too much effort? Or maybe your online consultants are overloaded with claims and questions from customers and fail to deliver the best quality services?
If you recognized some of the challenges of your business, then it may be useful for you to know how the most successful retailers in the world manage them with the help of Machine Learning.
Come on and dive in with us into the ocean of the opportunities for your eCommerce business with ML!
What do Google, IBM, Unilever, and IKEA have in common, besides being market leaders? They, along with a handful of others, are trailblazers that have been applying artificial intelligence in human capital management for years already, and they have done so successfully!
Regardless of whether you believe in the ‘Terminator’ scenario or not, right now machine learning can give your company a real competitive edge in talent management.
By 2027, 59% of overall global retail sales will belong to online marketplaces. With an average commission of 11% is taken from each transaction, it is not difficult to imagine the magnitude of the profit from such platforms.
In fact, out of 100 online marketplaces that were surveyed in the US, 63% generate $50 million annually and the other 37% generate more than $100 million. At the same time, there are almost no expenses for manufacturing, warehouses, and equipment. eCommerce gives anyone the chance to start a profitable business with minimal investment.
On this page, you’ll find all you need to know about building a marketplace — from idea to project launch. Let’s get it started!
In 2020 customers spent $2.67 trillion (95% of worldwide market sales) on the top 100 online marketplaces. No wonder so many people want to start eCommerce businesses. Let’s take a close look at Wish.com, one of the biggest marketplaces.
Wish is famous for low prices and aggressive marketing, the tricks to draw more customers, and unique feed algorithms. Do you want to learn how Wish became successful, how it works, and how to make an app similar to Wish?
Today, there are plenty of solutions for chatbot creation. So why are many businesses using GPT-based chatbots? In this article, we will figure out if it suits your business and how to make use of it.
The Greenice team has extensive practical experience in this area, having developed chatbots using GPT models and other AI tools. We are here to share our knowledge, guide you through the development process, and provide an overview of the pros and cons, as well as an estimate of the cost of creating a GPT-like chatbot.
What’s your worst nightmare when developing a mobile learning app?
Ours is that no one will use it.
But imagine spending all that time and money on an app nobody is interested in!?