“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?

What if you could hire faster and better? What if you could get new employees job-ready in half the time?

These and other human resource process improvements are possible with a successful human resource management system (HRMS) implementation. And that is probably what you are after, otherwise, you wouldn’t be here, would you?!

The right HRM system can improve any business, but for some companies, it is a game-changer.

These are companies belonging to industries with traditionally high employee turnover rates like hospitality business, care providers, cleaning companies. These companies place a lot of premium on recruiting that is one of their key business functions (hospitality business, care providers, cleaning companies, etc.).

Companies in heavily regulated industries, where employees have to follow procedures and training (e.g. healthcare).

Does your business fall into one of the above categories? Do you feel that an HRMS is a missing component in your business to take it to the next level?

Imagine having a magic ball to foresee things about your business. What would you do?

Maybe you’d like to know exactly what your users are looking for, so you could better serve them. Or, you’d want to know what prices will bring you the most profit on a given day. Perhaps, you’d like to catch the ill-intentioned users even before they do any harm to you and others on your platform.

What if I tell you it is possible? Shared economy leaders use machine learning for eCommerce and p2p marketplaces to do these and many other great things that have a direct impact on their success.

Yearly, $17.2 billion are raised through crowdfunding in North America alone. And the whole crowdfunding industry is predicted to reach $300 billion by 2030.

Despite tough competition with sites like Indiegogo, Kickstarter,  Patreon, and niche platforms, there are still untapped areas for new players. Moreover, while most of the economic spheres suffered during the outbreak of COVID-19, crowdfunding platforms, on the contrary, shined with donations that help people and organizations fight the pandemic and crisis.

How to start a crowdfunding platform? Below we’ll talk about business opportunities, cover the technical aspects of development, and discuss possible challenges. Read on!

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.

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!