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Best eCommerce platform for small business

by Nguyen Quang Duong
written by Nguyen Quang Duong

E-commerce is booming globally, opening up a myriad of opportunities for businesses, especially small businesses. In today’s fiercely competitive landscape, online presence is not just an option but has become a vital factor for the survival of any business. To maximize the potential of e-commerce, small businesses need a solid, efficient platform that suits their size and resources. 
This article will help small businesses solve the dilemma: Choosing the best ecommerce platform for small business to launch and grow their online business?

What is an eCommerce Platform?

An eCommerce platform is a software application that allows businesses to create an online store and manage their entire online selling process. It provides the tools and functionalities necessary to:

  • Design and build your website: Customize the look and feel of your online store.
  • Manage products: Add, edit, categorize, and track your inventory.
  • Process payments: Integrate with payment gateways and manage transactions.
  • Handle shipping: Calculate shipping costs, generate labels, and track orders.
  • Market your business: Implement marketing campaigns, integrate with social media, and optimize for search engines.
  • Manage customer relationships: Store customer data, track orders, and provide support.

eCommerce platforms can be broadly classified into two categories:

  • Hosted platforms: These platforms are cloud-based, meaning they are hosted on the provider’s servers. They are generally easier to use and require less technical expertise. Examples include Shopify, Wix, and Squarespace.
  • Self-hosted platforms: These platforms require you to host the software on your own server. They offer more flexibility and customization options but require technical knowledge. Examples include WooCommerce and Magento.

It’s important to note that while Amazon is a giant in the eCommerce space, it is not an eCommerce platform in the same way as Shopify or Wix. Amazon is a marketplace where sellers list their products, whereas eCommerce platforms allow you to build your own independent online store.

Key Criteria for Choosing an eCommerce Platform

When choosing the best ecommerce platform for small business, consider the following factors:

  • Cost:
    • Analyze the different types of costs involved: setup fees, monthly fees, transaction fees, third-party app integration fees, and hosting costs (if not included).
    • Compare the pricing of popular platforms like Shopify, Wix, Squarespace, BigCommerce, WooCommerce, Square Online, Hostinger, and GoDaddy.
    • Choose a platform that balances cost-effectiveness with the features you need.
  • Features:
    • Essential features: Product management, payment processing, shipping, marketing, and inventory management are crucial.
    • Advanced features: Multi-channel selling, international selling, POS support, third-party app integrations, customizable themes, abandoned cart recovery, customer segmentation, and loyalty programs can enhance your online store.
    • Consider your business model (B2C, B2B, dropshipping, selling physical/digital products), business size, and future growth plans when evaluating features.
  • Ease of Use:
    • Prioritize platforms with user-friendly interfaces, easy setup, and intuitive management, especially if you lack technical expertise.
    • Look for features that aid usability: drag-and-drop builders, tutorials, and video guides.
    • Compare the ease of use of different platforms based on user reviews and expert opinions.
  • Scalability:
    • Choose a platform that can handle your future growth in terms of product volume, order volume, and traffic.
    • Compare the scalability of different platforms: Shopify is known for its scalability, while Wix and Squarespace have limitations.
  • Customer Support:
    • Evaluate the quality of customer support offered by each platform.
    • Consider support channels like email, phone, live chat, documentation, and community forums.
  • Other Factors:
    • Customization: The level of flexibility in changing the look and feel of your website.
    • Third-party app integrations: The ability to connect with other applications like CRM, inventory management software, and email marketing tools.
    • Security: Data security measures, SSL certificates, and PCI DSS compliance.
    • International selling support: Multi-language support, multi-currency support, and international tax and shipping calculations.

Detailed Evaluation of eCommerce Platforms

PlatformProsConsBest for
ShopifyEasy to use, feature-rich, highly scalable, POS support, multi-channel selling, extensive app storeCan be expensive, requires some SEO knowledgeBusinesses looking to scale, sell internationally, and integrate online and offline sales
WixEasy to use, beautiful templates, affordable, SEO-friendly, social media integrationsLimited product and storage capacity, poor tax automationSmall businesses, startups, businesses needing a visually appealing and easy-to-manage website
SquarespaceBeautiful templates, high performance, easy to use, great for image-focused websitesLimited app integrations, transaction fees on basic plans, no multi-currency supportBusinesses focused on visuals, simple websites, selling physical products
BigCommerceExtensive management features, suitable for large businessesLess user-friendly interface, expensiveLarge businesses, businesses needing complex management features
WooCommerceFlexible, free, integrates with WordPress, many customization optionsRequires technical knowledge, cost of extensions can add up, limited supportBusinesses familiar with WordPress, businesses needing a highly customizable website
GoDaddyEasy to use, good customer support, POS integrationLimited features, outdated templatesBusinesses wanting a quick setup, small-scale businesses
HostingerNo transaction fees, advanced fraud detection, flexible payment optionsNo email marketing, no POS integration, no mobile appLocal businesses, simple websites, businesses not needing many features
Square OnlineFree, POS integration, good for brick-and-mortar businessesLimited customization on the free plan, no multi-currency support, limited multi-channel integrationSmall businesses, businesses wanting a free online store, businesses combining online and offline sales

1. Shopify

  • Overview: Shopify is a popular and user-friendly cloud-based most scalable eCommerce platform suitable for both beginners and experienced businesses.
  • Pricing:
    • Basic Shopify: $29/month
    • Shopify: $79/month
    • Advanced Shopify: $299/month
  • Pros:
    • User-friendly interface, easy to use even for those without technical experience.
    • Offers a comprehensive set of features needed to run an online store.
    • Extensive app store with various apps to support sales, marketing, and management.
    • Highly scalable, suitable for businesses with growth plans.
    • Supports multi-channel selling (website, social media, marketplaces).
    • Offers POS (Point of Sale) support for in-person sales.
  • Cons:
    • Can be more expensive than some other platforms, especially when using many apps.
    • Requires some SEO knowledge to optimize the website for search engines.
  • Notes for small businesses:
    • Shopify is a good option for small businesses looking to scale, sell internationally, and integrate online and offline sales.
    • Carefully consider the cost and choose a plan that fits your needs.
    • Invest time in learning about SEO or hire an SEO expert to optimize your website.

2. Wix

  • Overview: Wix is a popular website builder that also offers eCommerce functionality. Wix is easy to use and has a visually appealing interface, making it suitable for small businesses just starting out.
  • Pricing:
    • Free (with Wix ads)
    • Connect Domain: $4.50/month
    • Combo: $8.50/month
    • Unlimited: $12.50/month
    • VIP: $24.50/month
  • Pros:
    • Intuitive drag-and-drop interface, easy to use for those without technical experience.
    • Many beautiful and professional design templates.
    • Affordable, with a free plan available for trial.
    • Basic SEO support.
    • Social media integration.
  • Cons:
    • Limitations on the number of products and storage space.
    • Limited scalability.
    • Poor tax automation.
  • Notes for small businesses:
    • Wix is suitable for small businesses, startups, and businesses needing a visually appealing and easy-to-manage website.
    • Consider upgrading to a paid plan to remove ads and access more features.
    • Be aware of the limitations on products and storage space.

3. Squarespace

  • Overview: Squarespace is a website builder known for its beautiful templates and high performance. It also offers eCommerce functionality, making it suitable for businesses focused on visuals.
  • Pricing:
    • Personal: $16/month
    • Business: $26/month
    • Basic Commerce: $30/month
    • Advanced Commerce: $46/month
  • Pros:
    • Beautiful, modern, and professional templates.
    • High website performance.
    • Easy to use, even for those without technical experience.
    • Suitable for image-focused websites.
  • Cons:
    • Limited app integrations compared to Shopify.
    • Transaction fees on basic plans.
    • No multi-currency support.
  • Notes for small businesses:
    • Squarespace is suitable for businesses focused on visuals, simple websites, and selling physical products.
    • Consider the Advanced Commerce plan for more features and to remove transaction fees.

4. BigCommerce

  • Overview: BigCommerce is a powerful eCommerce platform that offers a wide range of management and customization features. It is suitable for large businesses with complex needs.
  • Pricing:
    • Standard: $29.95/month
    • Plus: $79.95/month
    • Pro: $299.95/month
    • Enterprise: Contact for pricing
  • Pros:
    • Extensive features for managing products, orders, customers, and marketing.
    • Highly customizable.
    • Suitable for large businesses.
  • Cons:
    • Less user-friendly interface compared to Shopify or Wix.
    • Expensive.
  • Notes for small businesses:
    • BigCommerce can be a good option for large businesses needing complex management features.
    • However, small businesses should carefully consider the cost and complexity of the platform.

5. WooCommerce

  • Overview: WooCommerce is a free eCommerce plugin for WordPress. It is highly flexible and customizable but requires some technical knowledge.
  • Pricing: Free (but you need to pay for hosting, domain name, and extensions)
  • Pros:
    • Flexible and highly customizable.
    • Free.
    • Integrates with WordPress, the world’s most popular content management system.
    • Many theme and plugin options.
  • Cons:
    • Requires technical knowledge to install and manage.
    • The cost of extensions can add up.
    • Limited support.
  • Notes for small businesses:
    • WooCommerce is suitable for businesses familiar with WordPress and needing a highly customizable website.
    • Be prepared to budget for hosting, domain name, and extensions.

6. GoDaddy

  • Overview: GoDaddy is a well-known domain name and hosting provider that also offers a website builder with eCommerce functionality. GoDaddy is easy to use and has good customer support, but its features are limited.
  • Pricing:
    • Basic: $9.99/month
    • Standard: $14.99/month
    • Premium: $19.99/month
    • Ecommerce: $24.99/month
  • Pros:
    • Easy to use, suitable for beginners.
    • Good customer support.
    • POS integration.
  • Cons:
    • Limited features compared to other platforms.
    • Outdated templates.
  • Notes for small businesses:
    • GoDaddy is suitable for businesses that want a quick setup and small-scale selling.
    • Consider other platforms if you need more features and design options.

7. Hostinger

  • Overview: Hostinger is a budget-friendly hosting provider that also offers a website builder with eCommerce functionality. Hostinger’s advantage is that it doesn’t charge transaction fees, but its features are limited. This is cheapest ecommerce platform for small business
  • Pricing:
    • Starter: $9.99/month
    • Business: $15.99/month
    • Pro: $25.99/month
  • Pros:
    • No transaction fees.
    • Advanced fraud detection.
    • Flexible payment options.
  • Cons:
    • No email marketing features.
    • No POS integration.
    • No mobile app.
  • Notes for small businesses:
    • Hostinger is suitable for local businesses, simple websites, and businesses that don’t need many features.

8. Square Online

  • Overview: Square Online is a free eCommerce platform that integrates with Square’s POS system. It is suitable for small businesses that want to combine online and offline sales.
  • Pricing:
    • Free
    • Plus: $29/month
    • Premium: $79/month
  • Pros:
    • Free.
    • POS integration.
    • Suitable for brick-and-mortar businesses.
  • Cons:
    • Limited customization on the free plan.
    • No multi-currency support.
    • Limited multi-channel integration.
  • Notes for small businesses:
    • Square Online is suitable for small businesses that want a free online store and to combine online and offline sales.
    • Consider upgrading to a paid plan for more features and customization options.

Tips for Choosing the Right Platform

  • Clearly define your business needs and goals: product types, business size, target market, and growth plans.
  • Make a list of essential and prioritized features, considering your budget.
  • Thoroughly research different platforms, comparing their pros, cons, features, and costs.
  • Try free trials or demo versions to experience the platforms firsthand.
  • Consult reviews and seek advice from experts or businesses already using the platforms.

Axalize’s eCommerce Website Development Services

We craft stunning and high-performing eCommerce websites that enhance user satisfaction, drive sales, and optimize conversion rates. Our expert team provides comprehensive eCommerce website development services, including:

  • Intuitive and user-friendly design: Captivating storefronts that engage customers.
  • Robust back-end development: Seamless functionality for smooth operations.
  • Advanced features: Product pages, checkout processes, payment integrations, and more.
  • Cutting-edge technologies: Feature-rich websites built for success.
  • Performance optimization: Fast loading times and smooth navigation.
  • Third-party integrations: Connect with essential business tools.
  • Scalability: Grow your online store as your business expands.

Partner with Axalize and transform your eCommerce vision into reality.

Choosing the right eCommerce platform is a critical decision that can significantly impact the success of your online business. There is no one-size-fits-all solution, so carefully analyze your needs, research your options, and select the platform that best aligns with your business goals.

Choosing the optimal platform depends on many factors such as: business scale, product type, budget, and technical skills. Businesses need to carefully consider these factors to make the most appropriate decision. E-commerce is a market full of potential but no less competitive. Small businesses need to be proactive, flexible, and constantly learning to adapt to market changes and achieve success

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Blog

Evolution of Big Data And Its Charecteristics

by Nguyen Quang Duong
written by Nguyen Quang Duong

We bet you’ve heard of Big Data and its importance at least once. But have you wondered what it really is, and how Big Data has evolved to become such a big deal in this day and age? In this article, Axalize’s web developers will take you on a journey through the evolution of Big Data, from its early days of manual data processing to the cutting-edge technologies of today.

We’ll explore key milestones like the emergence of data warehouses, the game-changing Hadoop framework, and the integration of cloud computing, AI, and IoT.

Let’s explore!

Early Data Processing Systems

Data processing systems collect, sort, classify, and rearrange unstructured data to make it useful for certain applications. It takes precedence over all other activities in a firm because the ultimate goal of every business is expansion and visibility. Many data processing technologies have evolved, rendering some obsolete over time.

1. Manual Data Processing 

Manual data processing is performed solely by humans. It was common when almost all businesses were local. Given the size and growth predictions of today’s enterprises, this type of data processing makes little sense. Because this method exposes firms to errors, omissions, delays, and potential data theft, it is no longer employed, particularly by major enterprises.

2. Mechanical Data Processing 

Simple devices were introduced to speed up work and streamline company operations, and are still used to some extent. Nowadays, it can be utilized in conjunction with other advanced data processing methods, such as machine learning/artificial intelligence-based automated systems.

3. Electronic Data Processing 

Electronic gadgets let CEOs manage large amounts of paper and information. Calculators and computers began to address all data problems, which continues to this day.

Today, data processing systems serve as the foundation for big data analytics—a type of analytics that analyzes large amounts of data to derive useful insights. As a result, tracking and becoming familiar with data processing trends and technologies is critical to the evolution of big data analytics.

early-data-processing-systems

The Emergence of Data Warehouses

Data warehouses improve the usability of raw data. Organizations typically create central repositories to ensure that data can be collected and evaluated in one spot. The first data warehouses for monitoring and decision-making used magnetic tapes, punch cards, compact disks, hard drives, and other technologies. As technology advanced and communication infrastructures improved, big data was viewed in a very different way.

As big data evolved, warehouses needed to be capable of meeting the majority of analytical and decision-making requirements. As a result, implementing appropriate architecture was critical. As a result, in the 1980s, organized design for data warehouses began to emerge, and we now have robust systems that make our jobs easier.

data-warehouse

Introduction to Hadoop and MapReduce.

Without Hadoop, how would we comprehend and manage big data’s dimensions, evolution, impacts, and challenges? Hadoop is an open-source framework that makes it easier to collect, process, and store large datasets. This architecture streamlines both big data and analytics, enabling enterprises to operate applications that process enormous amounts of data on a daily basis.

Hadoop-Ecosystem-infographic

MapReduce promotes scalability in Hadoop clusters by increasing system functionality and processing accuracy. It is a sub-module that may run on any distributed file system, while Hadoop Distributed File System (HDFS) is the most widely utilized.

💡 Partner with Axalize, a trusted web application development company, for custom-built, scalable solutions that drive business growth. Let’s discuss your project today.

Real-time data processing using Spark and Storm

Businesses require real-time analytics in a variety of ways, including medical diagnosis, traffic control, and everything in between. Data collected and evaluated in real time provides critical business insight and subject-specific information that is useful for running, monitoring, and altering operations processes. Furthermore, since new datasets become available on a daily basis, previous methods must evolve to meet complicated requirements.

Frameworks such as Spark and Storm enable huge data processing with real-time streams. Though the methodologies differ, they can produce solid, dependable results.

  • Storm uses task parallelism. It is more popular because of its large data ingestion capacity.
  • Spark operates with data parallelism. It is well-known for processing interactive queries at lightning-fast speeds.

Such real-time data processing frameworks have accelerated the development of analytic scalability in big data.

Cloud Computing and Big Data

Cloud computing refers to the availability of computing services over the Internet (rather than on-premises) based on customer demand. This technology has enabled businesses to preserve significant amounts of space and processing resources on-premises while also benefiting from cloud providers’ services.

The correlation between cloud computing and big data is apparent. Big data may be processed quickly in the cloud by utilizing powerful servers and clever software. It would be fair to say that cloud computing improves the viability of big data analytics in a variety of technological situations.

cloud-computing

>>> Read The Ultimate Guide about Cloud Computing

Machine Learning and AI for Big Data

When we consider the evolution of big data and its properties, three key advantages emerge: information, insight, and logic. Big data provides organizations with a wealth of information, insights into operations, markets, and customers, and logic-based solutions to assist leaders make critical decisions. Artificial intelligence (AI) and machine learning (ML, an important aspect of AI) enhance the benefits described above.

AI makes it easier for enterprises to use big data in the way they desire, and machine learning models are used to accomplish this. Once a target is established, AI algorithms make analytics feasible. How else would anyone gather the massive volumes of data produced by our computers and electrical devices?

Big data is essential for machine learning models to be efficient, fast, and perform well. Big data helps to facilitate experience-based learning in a variety of businesses, and machine learning drives this process.

Internet of Things (IoT), Big Data

The Internet of Things (IoT) has been nothing short of revolutionary, and big data and IoT are inextricably interwoven in more ways than one. Countless IoT devices are currently collecting data, both in real time and for one-time usage. This data’s volume and velocity are so large that big data processing capabilities are required to make it useful.

internet-of-things

On the other side, big data has assisted technology businesses in managing and using analytical capabilities in IoT devices. As you can see, the evolution of analytic processes in big data and their integration with IoT devices has made both critical modern-day technologies.

Edge Computing & Big Data

Edge Computing, a distributed computing platform, improves the use of enterprise applications by increasing device proximity to the data source. It improves operational control by increasing computer power, addressing latency concerns, and minimizing downtime.

Companies that combine edge computing and big data can quickly gain important commercial insights. Furthermore, IoT devices such as appliances, sensors, and gadgets perform effectively thanks to the improved computing capabilities enabled by edge computing. They work together to streamline an organization’s business analytics department.

💡 As a leading web application development agency, Axalize specializes in creating innovative, results-driven web apps. Contact us to see how we can transform your ideas into reality.

Conclusion

Today, big data drives consumer behavior research, provides e-commerce sales insights, emphasizes online purchasing patterns, and assists managers in evaluating many elements of commercial operations. Big data analytics in healthcare and other industries would not be conceivable without the massive advancements made by big data technologies over the years.

The evolution of big data has hastened technical advancement, innovation, and modernization. Big data is critical to the success of fintech companies, manufacturing, healthcare systems, education, travel, banking, aviation, logistics, and a variety of other industries. Artificial intelligence, machine learning, and edge computing are significantly reliant on large data since they learn from past data.

Big data has already had a significant impact on corporate results, and the effects will only increase in the future. So get ready and learn the abilities that will allow you to contribute to this progress and pursue more lucrative professional prospects. Axalize may be a useful insight hub for all the learners and perfect service providers in the AI and big data sectors.

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FAQs about the evolution of big data

Cloud computing provides secure and resilient processing and storage alternatives, so that huge data can be used effectively. It offers a robust framework for big data analytics. Simply put, cloud computing and big data are mutually dependent and reciprocal.

Business intelligence is a natural byproduct of machine learning systems, and big data plays an important role in ML models achieving this goal. ML systems harvest and analyze data to provide important commercial and corporate information.

Computation in any kind began only after the advent of the zero and decimal systems. Charles Babbage invented and created the world’s first computer. Punch cards, magnetic tapes, and floppy disks were among the early data processing devices.

It is no secret that data warehousing altered the landscape of data processing. As massive amounts of data began to be collected, categorized, and stored logically in a central location, many data processing issues were immediately addressed. Furthermore, this resulted in the spread of a more rationale-based mindset rather than an effort-based approach throughout enterprises.

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How To Become a Self-Taught Software Engineer in 2024

by Nguyen Quang Duong
written by Nguyen Quang Duong

It might sound cliché, but “Formal education will make you a living; self-education will make you a fortune.” We believe this applies to software engineers too. A self-taught engineer can be a pro in their field, respected by peers, and capable of solving complex problems with innovative solutions. They can also adapt quickly to new technologies and continuously improve their skills.

The good part? You can become one too, as long as you have the right mindset, effective strategies, and essential tools. In this blog post, we’ll walk you through everything you need to know to succeed as a self-taught software engineer in 2024.

What makes a good self taught software engineer?

The question at hand is straightforward: Is it possible for someone to become a skilled software developer on their own? Beneath that query is another, more basic one: What qualities distinguish a competent software developer?

It could be tempting to consider coding proficiency. Although it is indisputable that understanding computer logic is a fundamental skill, there are other qualities to consider in a developer besides programming ability. The most successful developers, in my opinion, possess two distinct but crucial skill sets: innovative problem-solving and effective communication.

A software developer is a person who uses technology and other developers to turn an idea into a digital product. Thus, in order to realize that vision, we require the previously indicated abilities in addition to a working knowledge of the necessary tools (such a programming language).

Our ability to communicate effectively enables us to both comprehend and share our clients’ vision with the rest of the team. You’d be surprised at how many initiatives are doomed to fail due to segregated development teams or unclear requirements.

When it comes to addressing problems, knowledge alone does not ensure an answer (but the more experience you have, the more probable it is that you will find one). Knowledge is a tool, a means to make the process of completing a task easier. The process of bringing resources, knowledge, and issues together in fresh ways to provide answers is called creativity.

To put it another way, a skilled developer is not an expert in every programming language, but they are able to determine whether a certain tool can solve an issue and, if not, demonstrate a willingness to learn and adapt in order to approach the problem from a different perspective.

💡 Looking for tailored web application development solutions? Axalize’s team of experts will design and develop a custom app that meets your specific business needs and goals.

Tips to become a self taught software engineer

Choose a Niche

The first piece of advice is to pick a niche and be very clear about what you want to learn first, especially if you are just starting out. Trying to learn full-stack web development from scratch might be very intimidating. Hence, choose either front end vs backend development to get started instead. Choose a tech stack and then be even more specific.

Let’s take an example where you choose to study frontend web development. You can begin studying React, HTML, CSS, and JavaScript. You have the ability to become an expert in frontend and React development. You’ll have a clearer direction if you specialize and narrow down. It’ll also make it easier for you to land your first job.

You can go learn backend development technologies like Node.js or Python if you’d like after you become an expert in frontend technologies and begin working as a software engineer. You’ll have a detailed plan on how to pick up a new ability. And each time, picking up and mastering a new technology will require less time and effort on your part.

choose-a-niche-to-become-self-taught-software-engineer

Choose a Platform to Learn

Changing the platforms that one uses frequently is one of the major blunders that people make when they first start learning how to code. They hop from one tutorial to the next and from one course to another.Making a decision can be somewhat difficult because there are so many options for platforms and courses.

However, you will advance far more quickly if you choose a platform and remain on it until you have completed its curriculum. Select a course, review the syllabus, and work on the assignments. You then go on to the following platform or course to continue honing your talents. 

As the name suggests, Free Code Camp is totally free and offers an amazing curriculum. Theoretical knowledge can be acquired and then applied in a collaborative setting. I still occasionally use it to review particular subjects. The curriculum for the Odin Project is also comprehensive and well-organized. You can read extensively, study theory, and work hands-on on projects that you can include in your portfolio. Despite being a commercial platform, Udemy offers reasonably priced courses. As you may recall, the finest financial investment you make in your career will be on your education.

For instance, Udemy offers some of the greatest React classes available online if you want to master the language.

front-end-development-courses-on-udemy

Here are a few of these amazing React courses:

  • Redux for Modern React by Stephen Grider
  • Maximilian Schwarzmüller’s React: The Complete Guide
  • John Smilga’s React 18 Tutorial and Projects Course
  • Colt Steele’s Modern React Bootcamp

Always choose a route and stay with it through to the end. Learn actively by doing and paying attention. and as you proceed, complete every project in the classes.

Be Consistent

Now that you know, you should decide between frontend and backend as your niche. You are also aware that the best way to study a curriculum from beginning to end is to select one platform at a time.Being consistent is the next thing you should pay close attention to. Being consistent means that you should practice and acquire the abilities you are studying on a daily basis.

You will advance and gain momentum if you practice, study, and learn every day. And development intensifies. To advance, you don’t need to study for eight hours every day, every day.

You’ll be amazed at how much progress you made in just a year if you keep coming back every day. even for ten to fifteen minutes. Lifelong learning is a journey. The most crucial habit you can develop to become an expert at your craft is going to practice every day.

Build Projects

The majority of the courses you take will involve programming assignments. Build these projects as you progress through the curriculum, and never skip them. Incorporate these projects into your Github profile. Post links to the projects you’ve created on Twitter. Include these projects on your personal website’s portfolio page. One of the quickest methods to learn programming and advance your abilities is to build projects.

You will need to come up with a solution when you run into trouble. When you conduct targeted research to address an issue, you will retain the knowledge you acquire. You’ll benefit from building projects in terms of interviews and employment prospects. They’ll question you if you’ve built any projects when you attend job interviews. It’s possible that you believe your creations aren’t excellent or complex enough to showcase. However, they will assist you in getting employment and serve as a live example of your accomplishments.

Network and Join a Community

Making connections and building a network with people who are traveling the same path as you will be very helpful. Engaging with those that share your path will lead to:

  • On your travels, experience less loneliness
  • When faced with difficulties, seek assistance.
  • Become more driven and inspired
  • Seek responsibility

To locate a group of like-minded individuals, do the following:

  • Attending local gatherings for programming in your city
  • Twitter posting and interacting with other developers of software
  • Posing queries on Twitter and blogs
  • Taking part in a virtual community

Numerous opportunities will arise from interacting with others, forming bonds with them, and showcasing your work. You’ll make connections with professionals in your sector and stumble upon fantastic chances.

Curriculum for a Self-Taught software engineers

Computational thinking, General programming language

I’m going to assume that you know absolutely nothing about programming going into the first month. You can skip to the second month if you already know a lot about a general programming language, such Python, JavaScript, etc.

David J. Malan will introduce you to the fundamentals of computational thinking in CS50 and maybe spark your interest in programming. The CS50 exercises require an enormous amount of work. For the time being, you can disregard the exercises and concentrate mainly on the lectures. Following CS50, there is a one-week Python course that follows. In order to begin experimenting with projects, your objective is to grasp the fundamental grammar of Python.

Your final week will be spent getting your hands dirty. Pygame gives you the opportunity to learn practical coding skills while having fun. You may learn the basics of coding by creating something small, like Space Invaders.

Algorithms and Data Structures

The subjects of algorithms and data structures will determine how successful or unsuccessful your career as a software engineer will be. AlgoExpert is among the greatest resources available, in my opinion. It provides:

  • Excellent coding explanation and conceptual overview
  • Hygienic and superior sample solutions
  • Thorough investigation of the complexity in space and time
  • To put it briefly, it reduces inertia and boosts learning efficiency. It’s absolutely worth the price given the high return on investment.

After finishing the medium and easy problems, you will set aside some time over the course of the next six months to work on one AlgoExpert or LeetCode coding question per day.

Web development

You will become acquainted with all aspects, starting from the front end and ending with the database. You have to be able to construct a whole web application on your own by the end of the month and include it on your CV. The web development course taught by Angela Yu is thorough and provides just the proper amount of knowledge to get you started in full stack development.

Full stack projects

You will take a break from the online courses in the fourth month and get your hands dirty. You will gather all of your knowledge, repeat the ideas, put them together, and create two complete stack projects on your own. Though you are free to work on any idea, you should try to incorporate these elements into your project.

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System Architecture

This is where system design comes into play, and every interview will definitely involve some testing. Without getting too bogged down in the specifics, the aim is to be able to explain the terminology used in system design in general. SystemExpert does a great job of providing you with the necessary tool belt kits. It offers a ton of examples of system designs, and I heartily suggest it.

Database management, operating systems, and computer networking

And all of these stem from the same basic issue: a weak foundation. As a result, you will strengthen your foundation by studying the following subjects:

Programming algorithms, Programme, Process, Thread, Deadlock, IP address, port number, DNS, HTTP, TCP, and UDP are some examples of networking concepts.

DBMS includes ER diagrams, Caching, SQL, and NoSQL databases.

The idea is to grasp each one just enough to understand the general workings of the system.

SOLID Principles, Design Patterns, and OOP

Every programmer’s dream is to write easily understood, reusable, and highly scalable code, and you and I will dedicate our entire lives to perfecting this trade. Your initial step on the journey of a thousand miles is covered in the three topics mentioned above. They will be of great use to you as a junior developer, even if they are typically not assessed during an interview.

Leetcode

Live coding questions are an inevitable part of a typical software engineer interview, and this is where most horror stories start. Coding is a craft that requires practice, just like any other, and this is especially true with it. As you finish answering the preceding questions, concentrate on finishing them all. Talk aloud and describe your codes as though you were being interviewed. Give a comprehensive analysis of the time and space complexity of each question. If you use this approach for each question, you will be able to wow every interviewer.

Conclusion

In conclusion, it is not only possible but also incredibly rewarding to become a self-taught software engineer in 2024. Through perseverance, self-control, and an abundance of internet materials, people can successfully negotiate the challenges of project management, professional networking, and programming languages. The field of software engineering is constantly changing along with technology, providing countless chances for advancement and creativity. 

Axalize believes that the aforementioned article will give you a clear path to follow in order to become a competent self-taught engineer in the future. Be an aspiring self-taught engineer and succeed in this fascinating and rapidly evolving area with commitment and patience!

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ERP AI Chatbot: What You Need To Upgrade Your Business

by Nguyen Quang Duong
written by Nguyen Quang Duong

Managing operations efficiently can be challenging, especially when you have to struggle with overwhelming data, delayed responses, and fragmented communication. That’s where an ERP AI Chatbot comes into play.

Whether you plan to outsource ERP AI Chatbot development or simply wonder what it is and the benefits it brings, you’ve come to the right place.

In this article, Axalize will walk you through all you need to know about ERP AI Chatbot and how it can bring your business to the next level.

What’s an ERP AI Chatbot?

An ERP AI chatbot employs Natural Language Processing (NLP) to communicate with users. It aids and automates ERP tasks.

An example will illustrate. Imagine being an e-commerce company. Someone in marketing wants to know your advertising budget last month. Log into ERP and ask the AI chatbot, ”What was our advertising expenditure last month?” 

The chatbot will use NLP to interpret the inquiry, process ERP data, and respond appropriately. Imagine having a virtual assistant for all your ERP needs. Searching your ERP software for relevant data no longer takes hours. Now, AI chatbots may retrieve, produce, and test data, analyze reports, and make recommendations.

what-is-an-erp-ai-chatbot

How to Integrate ERP AI Chatbots?

Successful ERP chatbot adoption boosts business efficiency. Companies value data integrity and security, and this arrangement makes user engagement fast. Chatbots in ERP systems need data to work. AI hallucinations may result from inaccurate or inadequate data.

Integrating your AI chatbot involves these steps:

  • Assess Business Needs: Determine ERP chatbot queries and automation procedures.
  • Select a Chatbot Platform: Pick one that works with your ERP and fits business demands, such Dialogflow or Microsoft bot framework.
  • Plan Integration: Plan chatbot-ERP data flow and security.
  • Chatbot development and training: Customize and train the chatbot with historical data for successful responses.
  • Try and Deploy: Run controlled tests and make adjustments before deployment.
  • Track and update: Review chatbot performance and user comments regularly to improve.
  • Train Your Team: Employees should learn the chatbot’s strengths and limits.

Why Use AI Chatbots in ERP?

Cost-cutting

ERP chatbots boost profits and cut costs by:

  • Increased Revenue: ERP chatbots improve upselling and cross-selling with personalized advice.
  • Efficiency: Simplify ERP system operations like approval workflows to cut costs.
  • Data-Driven Decisions: Real-time business insights enable faster, revenue-generating decisions.
  • Customer Retention: Fast replies boost repeat business and loyalty. This is cheaper than customer acquisition.

Faster, Better Decisions

The AI chatbot gives quick answers, unlike the search feature, which requires reading results and making decisions. Want a list of your past-year vendors? Talk to the chatbot. Know how many things you sold in a region? Talk to the chatbot. It will provide the result right away without any waiting.

Fast data access speeds up the decision-making process. Plus, you can receive everything in one click. That enables informed decision-making on the run. 

ai-helps-improve-decision-making

Mobility and Convenience

You can use an ERP AI chatbot on your phone. Your ERP system can be accessed without a desktop or laptop. The chatbot lets you handle and monitor business activities remotely. 

Smooth System Integration

AI chatbots can interface with new and old ERP systems. It enhances business process management rather than replacing it.

Integrating the Chatbot into ERP Modules like finances, HR, and marketing ensures a consistent and efficient operation with ERP infrastructure.

Effective Problem-Solving 

ERP AI chatbots help solve problems: 

  • Troubleshooting: Ask the chatbot in your ERP systems for real-time technical support. Based on past data, the chatbot can suggest solutions for more complex issues. 
  • FAQs: Your inquiry will be answered by the chatbot. Quite straightforward.

Automation of processes

AI-powered ERP systems automate monotonous processes like: 

  • Workflows for approval
  • Data entry 
  • Report creation 
  • Better Customer Experience

AI chatbots improve at answering client questions and solving problems quickly. Fortunately, customers don’t mind. 69% are ready to talk to a bot for small concerns due to its conversational interface.

Your customer support team can use chatbots to tackle high-volume repetitive activities, freeing up time for complicated issues and individualized care. 

💡 Let’s get an ERP AI Chatbot that benefits your business in all possible ways!

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ERP AI Chatbot System Use Cases 

Retail

A retail ERP chatbot can: 

  • Manage Inventory: Real-time inventory tracking helps you decide when to resupply shelves. You can automate reordering. 
  • Processing Orders: AI chatbots automate order entry and payment processing. 
  • Personalize Shopping: The chatbot may recommend products in real time depending on user preferences and purchases.

Manufacturing

Manufacturing companies can employ AI-backed ERP systems for: 

  • Product scheduling and planning 
  • Quality control 
  • Monitor equipment 
  • Management of inventory

‍Finance

Automation with ERP AI chatbots helps finance companies control expenses. 

  • Expense classification 
  • Catching receipts 
  • Submission of expense report 
  • Processing and paying invoices 
  • Current expense approval status 
  • Timelines for reimbursement 

Performance, income, and budget variation reports can be generated by advanced chatbots. They also spot financial discrepancies. 

ERP for Supply Chain Management 

Companies may improve supply chain efficiency and resilience by using AI chatbots. AI chatbots improve supply chain management by solving basic jobs like demand forecasting.

  • Supplier Relations
  • Transport and Logistics Optimization
  • Optimizing Inventory
  • Manage Risk
  • Checking compliance

Healthcare

In the healthcare industry, ERP chatbots offer significant promise. They may: 

  • Provide Patient Support: They can schedule appointments, remind patients, and provide recommendations based on medical history and symptoms. 
  • Electronic Health Records (EHR) Management: The chatbot helps healthcare practitioners access information in EHRs without manually searching. 
  • AI chatbots can monitor medical inventories and automate replenishment to avoid stockouts, just like in retail. 
  • Staff Onboarding: AI chatbots provide training materials, answer FAQs, and track progress.

Discover the Power of ERP AI Chatbots

Wonder how a functional ERP AI Chatbot can move your business foward into success? Well, stop the wondering part and see it for yourself!
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Selecting the best ERP AI Chatbot for Your Business

Your organization needs to consider several considerations while picking an ERP AI chatbot. Go at them individually. 

Determine Business Needs

Why use an ERP chatbot? Needs may be administrative, financial, or operational. Determine what chores the chatbot should automate. Check chatbots for those features. This reduces manual labor and creates workflows.

Assess AI and NLP

It may not be the proper chatbot to help patients plan appointments if it can only answer queries. Select a chatbot with the right AI. 

ERP System Integration

Will the AI chatbot work with your ERP? It should be ideal. Remember to ask this question when interviewing chatbot providers.

Maintain Data Privacy and Security

User privacy is crucial, especially in healthcare, where HIPAA compliance is required. 

Ask the chatbot provider about sensitive data security and privacy. Ask about their security breach crisis management plan.

Find customization options

Without designing a chatbot from the start, you’ll require some customization to meet your demands. The chatbot you choose should be customizable. 

>> You may be concerned about Applications of AI In Entertainment For 2024

Use ERP Chatbots for Customer Service

You’re ready to use a chatbot after choosing one. Check out how you can utilize it to give great customer service. 

Side note: 58% of customers utilize chatbots for simple requests, therefore you’re helping them. 

Customized Support

Personalization is one way ERP AI chatbots can help customers. The chatbot provides all customer information. 

Customer H wants to know about your deal. How can you optimize their experience? Use the chatbot. 

Customer service agents can ask chatbots things like: How often do customers shop with us? 

  • From which category do they shop most? 
  • Their average order value? 
  • Has anyone reviewed? If yes, why? 

With this information, the support staff can tailor help to the consumer, improving the experience.

Order Tracking and Status Updates

The human tracking of orders takes hours, but an ERP AI chatbot can handle it. No need to find an order number. The chatbot will tell you where Order #12345 is in shipping. 

You may then give customers this information without having to search. Customers like it fast. 

Instant Problem-Solving

According to Intercom’s 2023 customer service research, 77% of corporate leaders want to increase investment in knowledge bases, FAQs, and other self-help channels for real-time problem-solving. 

For what reason? Customers can solve issues in real-time via self-service. No need to wait for a support agent to ”get back”. Customer support agents need time to resolve requests because they lack real-time information. Customers dislike that. 33% despise waiting on hold and 33% dislike talking to multiple support reports. 

ERP chatbots help support reps find info faster. They may not need to search. They can respond to consumers and address issues faster with the chatbot. 

Last thoughts

Effectively leverage the capabilities of your enterprise resource planning (ERP) system by skillfully integrating AI chatbots supplied by Axalize. Through the strategic utilization of cutting-edge technology, organizations can optimize their processes, enhance consumer engagements, and establish a solid foundation for long-term prosperity in the dynamic marketplace of the present day. Brought to you by Axalize, a dependable service provider, customized solutions will be implemented to cater to your distinct requirements. This will enable you to enhance operational effectiveness, stimulate expansion, and successfully accomplish your business goals with assurance.

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Top 5 Java GUI Frameworks in 2024 For Your Project

by Nguyen Quang Duong
written by Nguyen Quang Duong

Building an app’s user interface from scratch with Java can be a tiring and time-consuming process. That’s when you’ll need a Java GUI framework to accelerate the process.

But with tons of Java GUI Frameworks out there, which one should I choose then? Don’t worry! With years of hands-on experience in all kinds of Java GUI frameworks, the Axalize team has compiled a list of the 5 best options for your project.

What Is A Java GUI Framework?

Java GUI frameworks are a key aspect of front-end development in Java applications. GUI means Graphic User Interface. Console is a command line window interface. A GUI system uses technologies and gadgets to give people a platform to interact with it. The WIMP paradigm (Window, Icon, Menu, Pointing device) is the most prevalent GUI component used in personal computers to display computer data. Eclipse, NetBeans, and Microsoft Office are GUI software.

GUI software lets users engage via an intuitive interface rather than command lines. Java Frameworks make GUI interface programming for apps easy

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Looking to create a user-friendly Java GUI for your application? Our front-end development services specialize in building responsive and visually appealing interfaces using Java GUI frameworks like Swing and JavaFX.

Top 5 Java GUI Frameworks in 2024

Java Swing

Java Swing provides GUI components for Java apps. A complete suite of components lets you build desktop apps with sophisticated user interfaces. Swing was designed to be more flexible and powerful than Abstract Window Toolkit.

java-swing-java-gui-framework

Key Java Swing features:

  • Swing components are lightweight and independent of the platform’s widgets. Swing components are rendered fully in Java, ensuring a uniform appearance and feel across platforms.
  • Rich component set: Swing includes buttons, labels, text fields, checkboxes, radio buttons, lists, tables, trees, and more. These components are highly customizable to meet application needs.
  • Pluggable look and feel: Swing lets developers dynamically change their apps’ appearance. Developers can design bespoke or use pre-defined look and feel themes.
  • Swing, like most GUI toolkits, uses event-driven programming. Swing components can respond to button clicks, mouse movements, and keyboard inputs with event listeners.
  • Swing’s layout managers help developers organize components in containers. Layout managers automatically position and size components based on container size and developer layout limitations.
  • Internationalization: Swing supports i18n and l10n. Applications that support several languages and locales are easy to develop.
  • Accessibility: Keyboard navigation and screen reader support make swing apps accessible to disabled users.

Due to its flexibility, comprehensive feature set, and cross-platform compatibility, Swing is a popular Java desktop application framework. Swing remains essential for applications that need fine-grained GUI control, even if newer GUI frameworks have emerged.

>>> Read more: Most Popular Programming Languages To Learn In 2024

Java FX

A strong Java framework for sophisticated client applications is JavaFX. It offers APIs for constructing modern, platform-independent GUIs with animations, multimedia, 3D graphics, and online integration. Sun Microsystems (now Oracle) introduced JavaFX to replace Swing and modernize GUI programming.

java-fx

Key JavaFX features:

  • JavaFX has several UI controls, including buttons, text fields, tables, trees, charts, and more. Highly customisable, these controls look and feel the same across platforms.
  • In JavaFX, developers can specify UI structure using FXML (FXML Markup Language), an XML-based language that separates UI layout from application functionality. This clearly separates application design and functionality.
  • Scene Graph: JavaFX represents application visuals via a scene graph architecture. Scene graphs are hierarchical trees with visual components including shapes, images, and text at each node. Complex UIs can be rendered and manipulated efficiently.
  • CSS styling: JavaFX styles UI components via CSS. Developers may quickly style components or scenes to brand and customize the program.
  • JavaFX’s strong APIs provide seamless animations and effects. For better user experience, developers can animate UI components, apply transitions, and add visual effects like blurring, shadows, and reflections.
  • JavaFX supports playing audio and video files and displaying web content using WebEngine. Developers can construct multimedia apps without external libraries.
  • JavaFX has APIs for building and manipulating 3D scenes and objects. JavaFX’s 3D capabilities enable immersive 3D visualizations, games, and simulations.
  • JavaFX programs run on Windows, macOS, Linux, and mobile devices with little modifications. JavaFX uses the JVM, making it portable and interoperable with many devices.

Modern features, performance, and ease of use make JavaFX popular among developers. Enterprise applications, multimedia software, educational tools, and more use it. Oracle has maintained and improved JavaFX, keeping it relevant in the Java environment despite early fears about its future.

Apache Pivot

Java RIAs can be built on Apache Pivot, an open-source platform. It offers a complete set of APIs and tools for constructing cross-platform, visually appealing, and interactive GUI applications for web browsers or desktops.

apache-pivot

Key Apache Pivot features:

  • Apache Pivot has several GUI components, including buttons, text boxes, lists, tables, trees, charts, and more. These customisable components connect easily into Pivot applications.
  • Data Binding: Pivot lets developers attach UI components to data models. This simplifies development and ensures UI-data consistency.
  • BXML (Pivot Binary XML) defines pivot apps’ UI. BXML simplifies complex UI design and maintenance by separating UI layout from application functionality.
  • Apache Pivot supports skinning and theming, letting developers alter application appearance. Skins establish UI component visual style, while themes create application look and feel.
  • Pivot’s event-driven programming architecture lets developers attach event listeners to UI components to respond to button clicks, mouse movements, and keyboard inputs.
  • Pivot programs run on Windows, macOS, Linux, and web browsers with minimum adjustments. The Java Virtual Machine (JVM) makes Pivot portable and compatible with many devices.
  • Client-Server Communication: Pivot APIs let programs communicate with remote servers over HTTP or other protocols.
  • Community Support: Apache Pivot has a vibrant development and contribution community. Hosted by the Apache Software Foundation, the platform is transparent, stable, and long-lasting.

Apache Pivot is ideal for enterprise apps, web dashboards, data visualization, and more. Developers seeking a versatile and robust platform for constructing rich internet applications in Java may consider Apache Pivot, even if it is less popular than JavaFX or Swing.

AWT

One of the oldest Java GUI libraries is Abstract Window Toolkit (AWT). Early versions of Java included it in the Java Development Kit (JDK), and it has since proven essential to Java’s GUI capabilities.

java-awt

Some significant AWT details:

  • Component-Based Architecture: AWT represents GUI components like buttons, text fields, checkboxes, etc. as objects. These components can be created and managed using AWT classes.
  • AWT was developed to execute Java GUI applications on any platform that supports the Java Virtual Machine. AWT uses platform-specific “peer” components to communicate with the OS’s windowing mechanism.
  • Heavyweight components: AWT components are “heavyweight” because they render using the platform’s native windowing system. Each AWT component has a native peer component that draws and handles events.
  • Events: GUI components in AWT generate events in response to user actions (e.g., mouse clicks, keyboard inputs). Developers can register event listeners to handle these events and create desired behavior.
  • AWT layout managers enable developers to organize GUI components in containers. Layout managers automatically alter component location and size based on developer layout constraints to adapt the UI to multiple screen sizes and resolutions.
  • AWT’s GUI components are more simple than Swing or JavaFX’s. It includes buttons, labels, text fields, etc., but not advanced functionality present in newer libraries.
  • Native Code Integration: The java.awt.peer package lets Java developers incorporate native code. This lets Java developers use platform-specific capabilities or native libraries.
  • AWT set the groundwork for Java GUI programming, but Swing and JavaFX have since replaced it. For backward compatibility, Java still supports AWT, making it a viable option for small GUI applications or lightweight GUI libraries.

In conclusion, AWT is a core Java GUI library with a basic component-based architecture and platform-independent GUI features. Although it lacks some of the functionality and flexibility of modern GUI tools, it is still useful for basic Java GUI creation.

SWT

The Java GUI toolkit Standard Widget Toolkit (SWT) delivers a native appearance and feel across platforms. Swing and AWT render their own components, but SWT uses OS-provided widgets. SWT was originally part of Eclipse but is now a separate library used in many Java projects.

java-swt

Key SWT details:

  • SWT uses operating system widgets including buttons, text fields, tables, and trees. This makes SWT apps look, feel, perform, and behave like native apps.
  • Platform Independence: SWT uses native widgets yet has a standard API across operating systems. SWT uses a thin layer of platform-specific code to interact with native widgets.
  • SWT uses an event-driven programming style like other GUI toolkits. Developers can register event listeners to handle GUI component events like mouse clicks and keyboard inputs.
  • Native Code Integration: The org.eclipse.swt.internal package lets Java developers incorporate native code. Developers can use platform-specific features or native libraries in SWT apps.
  • SWT layout managers enable developers to arrange GUI components in containers. Layout managers automatically alter component location and size based on developer layout constraints to adapt the UI to multiple screen sizes and resolutions.
  • Rich Set of Features: SWT supports drag-and-drop, printing, clipboard operations, and powerful graphics for complicated GUI applications.
  • Integration with Eclipse IDE: SWT was designed for Eclipse and remains strongly linked with Eclipse. Eclipse Foundation develops and maintains SWT, which is used in many plugins and extensions for user interfaces.
  • Performance: SWT performs better than Swing or other GUI toolkits that render components because it leverages native widgets. The application’s complexity and platform may affect this performance advantage.

The robust and flexible Java GUI toolkit SWT is ideal for designing desktop apps that need a native appearance and feel across platforms. Its strong connection with Eclipse and performance benefits make it a popular choice for Java rich client applications, IDEs, and desktop tools.

Conclusion

Java developers have many GUI framework options in 2024, each with its own strengths and project fit. There’s a framework for every need, from JavaFX’s modern capabilities to Swing’s reliability, Apache Pivot’s diversity, SWT’s native feel, and AWT’s simplicity. These top five Java GUI frameworks let developers construct rich and engaging user interfaces by producing visually attractive apps, lightweight solutions, and seamless integration with native code.

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