It seems that we have applied the on-demand business model to almost anything we could lay our eyes upon – cab bookings, doctor appointments, movie tickets, home services, food delivery – the list is endless.
The latest addition to the on-demand economy are the Uber for trucking companies. You can simply use a mobile app to get access to trucks and drivers who help you to move your stuff. The service is also available for enterprises who can increase the efficiency of their supply chain and cut down logistics costs.
The global logistics industry is poised to reach $ billion by 2022 with a CAGR of 3.48%. Various on-demand trucking platforms like Uber Freight are looking to tap into the industry and get a share of the market. Today we will explore the top Uber for trucking companies from all around the world.
How Uber for Trucks Business Model Works?
An on-demand trucking business works almost on the same principle of an on-demand ride-hailing app. Shippers and companies use a mobile app/web interface to locate and book trucks and vans according to their requirements. Carriers/vehicle owners/drivers receive bookings through their app/web interface and send quotes/accept bookings at upfront rates or via f model.
The shipper pays the trucker after the delivery is successful. The on-demand trucking companies generally collect a share from the payments for acting as the digital matchmaker.
Read more on Uber for Trucks
Our aim is to find out why more and more companies prefer single page approach and to consider cases when it’s best to use an SPA framework.
This page can be dynamically updated, but it never reloads the whole time a user is interacting with it.
Single-page applications try to solve the problem of poor performance and increase conversion rates.
With single-page apps, a server doesn’t need to reload most resources such as HTML, CSS, and scripts with every interaction.
An SPA brings you considerable relief when developing a mobile application: you can reuse the same backend code from a web-based app for the mobile application.
Definitely, an SPA has a far smaller semantic kernel than an MPA.
From the emergence of the Internet and search engines to the introduction of search engine optimisation (SEO), digital marketing services has become a crucial aspect for every business and custom software application development services.Artificial intelligence (AI) is currently the most significant trend in digital marketing services, one that is expected to transform the SEO landscape and it is a future of search engine optimization services.Search engine optimization services are now more popular than ever as companies aim to reach more consumers and users in the online world.
Given that SEO is primarily data-driven, AI is seen as a powerful tool that is arguably underutilised in today’s online space.AI tools like chatbots and algorithms can analyse large sets of data, improve keyword research, and create more robust analytics reporting systems, all of which can potentially transform your SEO in the future.Just as AI is seen to have a positive effect on several industries, AI is also expected to have a lasting impact on the SEO industry.Search Engines & Machine LearningMachine learning makes use of algorithms to calculate patterns and trends, then generate corresponding data from such trends.
Search engines particularly love using it because of how useful it can be for analysing content from several web pages, ultimately contributing to SEO.One particular use of machine learning includes identifying spam or duplicate content, outbound links that link to unrelated pages, and other factors attributed to low-quality content.With the influx of photo-sharing websites today, machine learning has also been used to analyse the colour, shape, and other elements of images to help search engines understand what an image is.Google makes use of this method to catalog its images when users search keywords or to provide its feature of being able to do searches with image files.Ways AI Can Change SEO in the FutureAI is already changing the SEO industry in so many ways, but it is expected to create even more change in the coming years.
Better InsightsUsing SEO requires you to continually track your progress and KPIs to ensure your strategy is working well.
However, this task can be rigorous and time-consuming, especially if you are dealing with vast sets of data.
AI can also help you better understand market trends and identify content opportunities, so you can work on improving your SEO strategy.2.
What is application modernization?Application modernization is the act of updating older or outdated software for more current computing ideas, including more up-to-date frameworks, languages, and infrastructure platforms.
This training is likewise now and again called legacy modernization.
Therefore, an application modernization plan is a typical component of an enterprise’s digital transition strategies.Normal examples for modernizing applications include:Lift and shift:Sometimes called rehosting, the expression "lift and shift" has become a Mobile Application Development language for taking a current application and moving it from a legacy climate (like an on-premises worker) to fresher infrastructure, like a public cloud platform.
With this example, you are basically moving the application "with no guarantees," with practically no progressions to its hidden code or design.
It doesn't need significant changes in code or engineering, as with refactoring, yet involves reciprocal updates that empower the legacy application to exploit an advanced cloud platform, for example, adjusting or replacing the application's backend data set.Here are only a couple of the purposes behind your association to modernize your applications as you move to the cloud:The utilization of the cloud has opened ways to plenty of opportunities for Web Development Services organizations.
Regardless of whether you own a private company that uses the cloud's capacities to allow workers to get to data distantly, or you're important for a multi-location activity that benefits from the synchronicity that cloud framework brings to the table, this cutting edge technology is seemed to be an unquestionable factor if you want to reach many accomplishments in your business.Nonetheless, for Web Development Services that have been working for a long while, changing to the cloud isn't pretty much as simple as duplicating legacy frameworks and sticking them onto the new infrastructure.
Testing is a crucial part of every software development process as it helps to ensure that not only customer satisfaction is guaranteed, but the software itself matches all standards and requirements.
While testing was traditionally limited to the functional requirements, the concept of non-functional testing has gradually come under the spotlight.
Its growing importance could be attributed to the fact that modern applications and their ecosystems have both undergone drastic transformations.The older applications usually used to run in closed, largely undistributed environments where everything was generally within control.
However, the arrival and widespread utilization of cloud computing and microservices have changed the face of the applications and their ecosystems.
Non-functional requirements (NFRs) have become as important as their functional counterparts, and the need and importance of testing these NFRs have consequently become equally important.What is Non-Functional Testing?Non-functional testing refers to the testing of those aspects of a software application which are not connected in any way with a defined user action or a function.As the name suggests, it concentrates on an application’s non-functional aspects such as performance, usability, security, compatibility, and all other aspects that are not tested under functional testing.
Non-functional testing is performed to verify these NFRs and if the system’s behavior is in accordance with them.The following are some of the significant non-functional aspects of an application that are considered and tested under non-functional testing:How does the application behave and perform under normal circumstances?How does it behave when a large number of users log in simultaneously?How much stress could the application handle?How secure is the application?Is the application robust enough to recover from a disaster?Does the application show similar behavioral patterns in a different environment or OS?Are the documents accompanying the application easy to understand?The singular purpose of NFR testing is to ensure that the application works well with regards to the non-functional aspects.Ultimately, the motive of non-functional testing is to test all characteristics of an application that would help to provide an application which meets the business expectations.The Importance of Non-functional TestingConsider an application that is developed and wholly tested for functional requirements, but non-functional testing is not performed.
With the advent of iOS 12, the Cupertino Company Apple has made one thing clear that the apps are going to be more responsive and run at a faster pace.
Though the latest version has a few groundbreaking features, its core focus remains on developing seamlessly-performing, futuristic apps with enterprise-friendly functionality.
In this post, we will go through the most noteworthy iOS app development trends from the perspective of an iOS app development company:
#1 Arrival of Swift 4
Since reaching the 1.0 milestone in September 2014, Swift has transformed the iOS app development process along with TVOS and MacOS application development.
The iOS app developer’s life is going to become easier with the availability of the latest codable protocol.
