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Car rental is a business that requires a big investment to buy, or lease, and maintain a vehicle fleet. You will have to compete for both with huge and powerful companies like Enterprise, Hertz, Sixt, Europcar, and smaller ones. And in such a tough situation, most of the firms try to sidestep the rivals by proposing better quotes. That is why it is extremely important for small entrepreneurs to keep an eye on every benchmark.

In this article will explore the essitial features of car rental websites and compare development options. Let's dive in.

“Fleet management technology is about marrying up vehicles, drivers and requirements; it is simply a tool to facilitate the professionalism of that delivery. Technology is our servant, not our master,” says Geoffrey Bray, chairman of Fleet Industry Advisory Group.

As a small company that has an owner or leased fleet of motor vehicles or professional equipment, you may be familiar with such a situation: you work hard but still suffer from such problems as poor performance, low income, and driver turnover. There are multiple reasons why you may have these problems. But as a rule, most of the challenges can be surmounted with optimization of fleet management. How can a Fleet Management Application help you automate the fleet operations and enhance the profitability of your business? Is it worth creating a fleet tracking app? What features do you need to solve your problems? How to select the right technical solutions? We hope that you’ll find out the answers in this article!

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.

Speech recognition is one of the most difficult aspects of programming and, at the same time, one of the most desirable features of new-age applications. One of the potential implementations is using speech recognition in call-centers systems to automate the mundane work of operators.

The main question is how to make a machine understand natural language, transform it into text, and return an adequate response? Many development companies such as Google, Amazon, IBM, Apple, and Microsoft are now highly involved in the creation of the best mechanisms to cope with these tasks. Thus, some time ago Amazon announced a service for creating conversational interfaces for applications - Amazon Lex.

Actually, we actively use AWS products in many of our projects and know their specifics, so, in spite of the fact that Lex was still quite raw (new and poorly documented), we were determined to crack it. We hoped that this would be one more positive story that would give us more points toward our overall expertise score.

However, our experience turned out to be quite controversial. If you plan to use Lex for your automatic speech recognition (ASR) bot, you may find it helpful to read this article. We would like to caution you.

Nobody wants to have a bad experience and waste time and money on unverified services or goods. This should bring you to the conclusion that a web review service is in high demand now and can be a driving link in creating a chain between customers and businesses.

$500 Billion is the size of the home services market and it's growing.

With this growth, field service companies face a range of challenges daily, from scheduling and dispatching technicians to handling customer requests and tracking inventory. Fortunately, technology can help streamline field service operations through the use of a field service management app. An app can automate workflows, schedule appointments more efficiently, and improve communication with customers and technicians.

Robots will never displace humans in the ability to be empathic and passionate. And actually, we do not need them to do this. Let’s save emotions for humans and delegate routine work of systematization, search and calculation to computers, while we focus on extraordinary tasks that need all our involvement, communication talent, analytical abilities, and understanding of feelings.

Charity and nonprofit organizations, on the one hand, work to appeal to people’s real feelings (caused by their needs and deeds) and, on the other hand, need to complete the quite ordinary tasks of collecting donations, keeping documentation, sending out emails. Here we’ll discuss how automation can improve nonprofit.

Are you tired of routine in your charity organization? Ready to change it?

A failure of an ERP development project can cause a major setback for the entire company, or even its death. In this article, we’ll talk about the 8 ways of avoiding those pitfalls, by carefully planning your custom ERP software. We share our own experiences, as well as the experience of others, so be prepared for a lot of examples.

Do not fall victim to the stereotype that it is impossible to start your own tech startup without a tech co-founder who rules the development process. There are thousands of examples of successful entrepreneurs who reached the top without a tech-savvy partner.

We are going to show you the way out!

Watch out! After reading this you will not be able to use the excuse that you did not build a tech company because you didn’t have a tech co-founder!

Are you thinking about building a price comparison website, but not sure where to start? Look no further! 

We've built a number of these websites and are eager to share our experience. In this comprehensive guide, we'll take you through the benefits of price comparison websites, the business model, and the competitor landscape. We'll also delve into the principles and features of a good PCW, technical solutions for website development, and the cost of building one. Plus, we'll give you tips on how to apply this knowledge to your business. Get ready to build the price comparison website of your dreams!

As an owner of an Assisted Living Facility or Nursing Home, you should definitely know how challenging it can be to provide high-quality care while overseeing routine operational tasks like resident admission, invoice generation, staff shifts scheduling and time tracking, and to top it all - making reports and analyze information.

In the US alone, the number of people aged 65 and older is anticipated to grow more than twice from 46 million today to over 98 million by 2060. It means that more elderly people will require nurse care and more assisted living facilities will open around the world.

Both types of senior housing communities are neither hospitals, nor hotels, but they similarly gather, keep, and manage a lot of confidential data about their residents, staff, care plan, and financial transactions. It would be more hard work if this is done manually and on paper.

Why is it important to transfer the paperwork into computer systems? How do you make an ALF or nursing home software that will mirror exactly your needs and how much will it cost? We’ll talk about all this right now! Read on and do not miss a thing!

“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?