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How and why B2B eCommerce is accelerating faster than B2C

Welcome to the world of E-commerce, where business transactions are just a few clicks away due to its convenience, accessibility, and potential for increased revenue. While most people associate e-commerce with B2C companies like Amazon and eBay, Alibaba an interesting trend is emerging. Over the years, B2B eCommerce has been growing at an unprecedented rate and now stands ahead of B2C in terms of market share. In this blog post, we’ll explore the reasons behind this shift and how it’s set to revolutionize the way businesses operate worldwide.

B2B e-commerce is growing faster than B2C

 

In recent years, the B2B eCommerce sector has been growing at an unprecedented pace. In 2022 the global B2B e-commerce market size was valued at USD 7,907.07 billion and is projected to grow at a Compound Annual Growth Rate (CAGR) of 20.2% from 2023 to 2030. What’s driving this growth? One significant factor is the shift towards digitization in business operations. Businesses are increasingly embracing digital technologies to streamline their operations and improve their customer experience. The increasing adoption of technology and digitization in businesses has led to a shift towards online transactions. With the rise of smartphones and other mobile devices, it has become easier for businesses to purchase goods and services online.

 

As a result, B2B e-commerce platforms are becoming more sophisticated, offering features like real-time inventory tracking, personalized pricing, and more. Unlike B2C companies where consumers purchase goods and services for personal use, B2B deals with transactions between businesses themselves or organizations that require products on a larger scale than individuals. The sheer demand for such large-scale purchases lends itself to digital channels as they offer greater convenience and efficiency.

 

Furthermore, there are numerous benefits associated with B2B eCommerce compared to traditional methods of procurement. It can lead to cost savings by streamlining supply chains and reducing intermediaries’ involvement while also enabling quicker turnaround times, faster processing times, increased transparency, and improved customer experience. Through B2B e-commerce platforms, businesses can find suppliers quickly from anywhere in the world while reducing their operational costs. B2B e-commerce allows businesses to reach a global audience and grow their customer base beyond geographical boundaries. With B2B e-commerce, businesses can expand their operations into new markets without having to invest in physical stores or locations.

 

Additionally, B2B buyers are looking for personalized experiences similar to those they encounter in B2C e-commerce. They want intuitive user interfaces, personalized product recommendations, and fast, responsive customer service which is achievable with B2B e-commerce platforms. With the rise of AI and machine learning technologies, B2B e-commerce is offering more sophisticated product recommendations, predictive analytics, and automation capabilities. Buyers can quickly search for products, place orders online, receive quotes, and track shipments in real-time at any time of day through various devices such as computers, tablets, or smartphones. This eliminates the need for traditional methods such as phone calls or fax orders, which are more time-consuming.

 

For sellers, B2B e-commerce enables automated inventory management systems that help maintain accurate product information across different sales channels while reducing errors associated with manual updates. As a result, sellers can significantly reduce overhead costs associated with order processing. Moreover, data analytics from B2B transactions helps companies identify trends in buyer behavior enabling them to make informed decisions on product offerings based on market demand.

 

In short, the rise of technology has transformed how businesses operate worldwide – thus leading to a surge in demand for online platforms capable of handling bulk transactions more efficiently than ever before. Thus, the future of B2B e-commerce looks bright, as businesses continue to embrace digital transformation and look for new ways to improve their operations and customer experience.

 

The future of B2B e-commerce

 

As we move into the future, B2B e-commerce is only going to continue accelerating and surpassing B2C. With advancements in technology, such as AI and automation, businesses will be able to streamline their processes even further and provide an even better experience for their customers.

Furthermore, with many companies operating remotely during COVID-19 pandemic lockdowns worldwide; it became essential for them to adapt by going digital quickly. This pushed even those hesitant about e-commerce into experimenting with digital solutions – leading to a boom in B2B e-commerce growth! This means that B2B e-commerce is becoming more crucial than ever before.

B2B e-commerce has come a long way from its early days of simply placing orders online. It now offers a wide range of benefits to both buyers and sellers alike. As it continues to evolve and improve over time, we can expect it to become an increasingly integral part of business operations across industries.

AI: The next step in Software Development

AI has been revolutionizing businesses worldwide, from healthcare to banking, from automobiles to logistics. It’s innovations are developing very quickly and growing significantly on a global scale. AI refers to technologies that make it possible to equip computer systems based on algorithms with human abilities such as thinking, learning, problem-solving, etc., to make them intelligent and thereby help people to carry out different tasks.

 

With advances in machine learning, natural language processing, and data analysis, also in the world of software development, technology is changing rapidly and AI is leading the way. The global AI market reached USD 93.5 billion in 2021 and will expand at a growth rate of 38.1% annually by 2030. Innovations such as Edge AI, computer vision, decision intelligence (DI) and machine learning (ML) are shaping the market in the years to come. Additionally, robots are increasingly penetrating our everyday lives. And the current research suggests that this trend will continue in the coming years when robots and drones can take on more and more tasks in a meaningful way. These advances are related to the popularity and widespread use of AI & its promises of impressive growth opportunities.

 

The aim of AI is to create machines that can work and react like humans. However, AI is not just about creating human-like machines; it is also about making machines that can work better than humans. For example, a machine is able to process data much faster than a human can & also remember more information than a human can.

 

Since AI offers great potential for different areas, it is no wonder that its use cases are becoming more diverse with each passing year. AI solutions are already helping with:

  • Business process automation
  • Automated document creation
  • Management of production processes
  • Predictive Maintenance
  • Customer Analytics
  • Risk management
  • Supply chain management
  • Personalized service delivery
  • Software development

 

Since its inception, AI has made significant progress in software development. Early successes included creating programs that could play checkers and chess, as well as solve simple mathematical problems. In recent years, AI has been used to develop more complex applications such as autonomous vehicles, facial recognition systems, and machine translation. Looking to the future, AI will continue to play an important role in software development. With the rapid advancements being made in machine learning and natural language processing, there is no limit to what AI can achieve. As we move forward into the next era of computing, it is exciting to think about all the new possibilities that AI will enable us to realize. Let’s explore how AI is impacting software development and how it will continue to revolutionize the industry in the years ahead.

AI Software Development

Software development aka application development consists of winding together instructions for one or more programs that carry out required tasks or actions. The development team carries the task of translating problem-solving processes & algorithms into program code. Basically, we’ve known the classic methods of software development such as the agile and waterfall methodology. However, AI development works differently than classic software development. In AI development, data plays a central role – it is the center. In AI software development the behavior of AI depends on the self-training with the data. In the classic approach, the programmer had to set the rules himself, something that isn’t possible with AI development.

 

With AI, developers can create smarter and faster algorithms that can more accurately comprehend our intentions and behaviors within their applications. AI platforms promise faster development, more accurate prediction of user needs and behaviors, and continuously improving algorithms for data processing. This helps developers automate various tasks, from code quality analysis to bug fixing & save time on repetitive tasks. For example, if a developer needs to fix a bug that occurs often, they can train an AI system to automatically detect and fix that bug. This frees up the developer’s time so they can focus on more important tasks.

 

AI can also improve the quality of code. By using AI-powered static code analysis tools, developers can identify potential errors and bugs before they even write any code. This not only saves time and money by preventing buggy code from being deployed, but it also helps improve the overall quality of the software.

 

AI can help developers create more user-friendly applications. By using machine learning algorithms, developers can automatically generate user interface (UI) designs that are optimized for conversion and usability. This means that users are more likely to have a positive experience with the application, which could lead to increased customer retention and loyalty.

 

The work & results in AI development are characterized by the acquisition, analysis, and preparation of data and by training the models. We can say that an AI solution is gradually approached through smaller experiments and experience is gained in the process. For this reason, exact, conscientious, and transparent documentation of every single step & every attempt are essential.

 

To achieve quicker results, however, several work streams can run in parallel, all of which are dedicated to solving the same topic. This requires a high degree of flexibility.  It is evident that the rise of AI will revolutionize software development and open up a world of new possibilities. With its ability to process information faster than ever before, AI technology can help streamline projects and shorten production times. As more companies continue to invest in this form of technology, we can expect even greater advancements from artificial intelligence in the future. There’s no doubt that there are both positive and negative implications associated with embracing this kind of technology but for now, we must use what advantages it offers us to move forward into the digital age.

Digitization: Why should companies invest in Artificial Intelligence training

Technology is a key helper on the way to the digital future. Artificial intelligence is considered a crucial future technology in the worldwide economy and more and more companies see an opportunity for their own business in artificial intelligence (AI). Whether predictive maintenance, process optimization, system control, or individualized products – everyone is talking about the fact that everything will be AI-supported in the future if not even function autonomously. AI can also improve processes in companies from production to sales or serve as the basis for new products and services.

 

Artificial intelligence also gives enormous competitive advantages. A survey conducted by McKinsey highlighted that a majority of survey respondents say their organizations have adopted AI capabilities, as AI’s impact on both the bottom line and cost-saving. Regarding the employees, however, there is an urgent need for action as they are poorly prepared for the use of artificial intelligence in this suddenly changing environment. Employees must perform skilled jobs that require more education and training compared to their normal routine jobs.

 

Another survey conducted by the market research company Statista on behalf of the TÜV Association among 1,000 people aged sixteen and over, including 568 employed people has revealed that 78 percent of employers agree that companies need to invest more in training their employees when it comes to AI. Many companies must invest significantly more in further training in artificial intelligence to make their workforce fit for the digital world. This involves both in-depth knowledge for the use of the technology, but also user knowledge since many tools already work with AI today. According to the results of the survey, a start has been made, 28 percent of the employees surveyed have taken part in further training on AI content in the past two years. And 34 percent of those in employment planned to do so within a year.

 

With basic AI knowledge, TÜV association expert Fliege observes considerable deficits in the companies. “Many employees only have a vague idea of ​​what AI is and where they encounter it.” AI is already in use in many cases, sometimes even unnoticed. “Algorithms work quietly in numerous systems – for example in IT security, where they recognize and resist cyber-attacks,” says Fliehe. AI is perceived more strongly in factories, for example, where it supports production control. The use of AI promises more efficiency and greater process automation in production. That doesn’t have to have a negative impact on employment, says Fliege: “Interesting new fields of work can arise for employees because they are relieved of routine activities.” The development is still in its infancy, and a lot is in flux. “A whole new door is opening for companies and employees.” According to Fliehe, the use of AI for small and medium-sized enterprises (SMEs) is particularly promising. “They usually have to make do with scarcer resources and are committed to high efficiency.”

 

“Knowledge about artificial intelligence is improving as the technology spreads,” said Stenkamp. At the same time, the attitude of the citizens is also improving. Fifty-one percent of respondents feel something positive when they think of AI, compared to the previous study by the TÜV Association in 2019, this is an increase of five percentage points. On the other hand, only 14 percent feel something negative, two years ago this value was twice as high at 28 percent. Thirty-five percent are neutral (up 14 points).

 

However, one thing is certain: the responsibility of the employees will increase, because they will remain the final decision-making authority. “Users in companies must know that AI decisions are not optimal in every situation,” says Fliehe. It may therefore be necessary to check whether an algorithm has captured all the valuable information. “Human expertise and experience will not become less important through the use of AI, but even more important,” emphasizes Fliehe. Employees would have to be able to guide the algorithm and classify the results. “Employees must become designers and also recognize the limits of AI.” In this way, the employees also contributed to the security of AI systems. “AI applications must not endanger or disadvantage people,” says Fliege. Corresponding legal regulations for the use of AI in security-critical areas are currently being developed in the EU as part of the planned “AI Acts”. The “TÜV AI Lab”, founded last year, supports politicians in developing standardized testing tools for artificial intelligence.

 

To prepare workers for more automated workplaces, professional training must be considered as an individual right. The transition to modern technologies and onwards will be a continuous process. Thus, the training and re-training of employees must not be ignored.

Unlimited Productivity: Why a resilient Hybrid IT is important for post-Covid recovery?

Unlimited Productivity Why a resilient Hybrid IT is important for post-Covid recovery

 

Hybrid IT refers to mixed computing, a combination of cloud and on-premise technology in which storage and services are made available in any combination of MAKE (self-provided) and BUY (provided by the service provider in any form) so that the best functions of on-site solutions can be used in conjunction with the best functions of cloud solutions. In short, a combination of public clouds, on-premises computing, and private clouds in your data center means that you have a hybrid cloud infrastructure.

 

Businesses all around the globe are under pressure to innovate, thus the move to hybrid cloud adoption is motivated not only by cost-saving but in supporting fast-moving digital business transformation within companies. As the key benefit of the hybrid cloud is agility, businesses ’ needs to adapt and change direction quickly are focused. The better integration and interaction work, the more successful your company can operate. Flexera 2021 State of the Cloud Report highlights 87 percent of enterprises have already adopted hybrid cloud strategies and an estimated growth rate of 17% has the hybrid cloud industry pegged to inflate from a valuation of $44.6 billion in 2018 to almost $100 billion by 2023.

 

types-of-clouds-used

 

Hybrid clouds offer the benefits of both public and private clouds and take advantage of existing architecture in a data center which is why a hybrid mixture of cloud services are chosen by forward-thinking companies. Worldwide end-user spending on public cloud services is forecast to grow 23.1% in 2021 to total $332.3 billion, up from $270 billion in 2020, according to the latest forecast from Gartner, Inc.

 

By mixing the different cloud models, their advantages can be combined. With hybrid IT, companies benefit from the flexibility of the public cloud and the high-security standards of the private cloud or the full control of their own data in an on-premise environment. For example, it is possible to operate a database in a private network while the associated application is running in a public cloud. The advantage: the data is very well protected and the performance of the application is practically unlimitedly scalable at the same time. However, companies must make sure that they know exactly where which data is processed and how they distribute which processes to the various operating models. Otherwise, there is a risk that security-critical data will end up in the public cloud. In addition, hybrid cloud solutions are significantly more complex than pure public cloud or private cloud environments.

 

The pandemic has exposed vulnerabilities in business that have been hidden for too long. Companies are finding it hard to continuously adapt when their systems are separated. With work-from-home policies and automation becoming new norms, the Hybrid Cloud is entering the next digital era in exponential dimensions. But in the end, it is primarily the security requirements for your data that decide which cloud model is suitable for you. If you process data that are not linked to any special data protection requirements, a public cloud offers you numerous advantages in terms of flexibility, scalability, and cost structure. If your company processes particularly sensitive data that, for example, may not be transmitted, private clouds or hybrid cloud environments come into question. Hybrid clouds have the advantage that they are even more flexible than private clouds. However, they are much more complex in operation.

 

While hybrid implementations can lead to unprecedented complexity in some cases, we at Xorlogics help enterprises navigate this challenge. Get an individual consultation with our cloud experts to know which path to the cloud is best suited for you.

 

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COVID-19: Companies Journey toward Digital Expansion to become Faster, more Productive and more Responsive

Digital transformation progress

 

Our everyday life and way of doing things are completely changed since COVID19 started. It has accelerated the global digital transformation, according to the most recent F5 State of Application Strategy survey (SOAS). The seventh annual edition of this study is based on a survey of 1,500 participants from various industries, company sizes, and positions.

 

The need to adopt digital services across industries, geographies and communities is accelerated due to the dramatic shift in remote work and social distancing so that companies can improve their connectivity to interact with customers.

Business leaders have recognized digital technology as a key driver of revenue and raced towards digital transformation within their company. Here, below, are the key findings of the F5 survey:

 

  • AI-assisted business has tripled.
  • Applications continue to be modernized rapidly, with APIs a method of choice.
  • The importance of SaaS-delivered security is rising as organizations work to unify security across distributed applications while managing more architectures than ever.
  • Architectural complexity makes multi-cloud availability an imperative, and edge deployments are increasing, too.
  • Telemetry will take us to the future—but now, nearly everyone is missing the insights they need.

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Future-ready organizations are working to improve connectivity, reduce latency times, guarantee security and use data-driven insights. There is increasing interest in public cloud and SaaS, edge computing, and seeking application security and delivery technologies that are easy to deploy and provide data for decisions.

Modernization remains the top priority when it comes to operating on both modern and traditional application architectures for more than 87% of organizations that’s 11 percent more than in 2020. Additionally, almost half of all companies – 30 % more than last year – manage at least five different architectures.

 

Since last year’s SOAS report, the growth of AI and machine learning has more than tripled to 56%. This means that more and more companies are in the late phase of digital transformation. 57 % of those surveyed have begun digital expansion, an increase of 37 % compared to the previous year. This shows an increased focus on business process automation, orchestration, and digital workflows to integrate applications. 77% are already modernizing internal or customer-oriented apps, which is 133% more than in the previous year.

 

Additionally, two-thirds of respondents use at least two methods to create modern workloads, a mixture of traditional and modern application components. Of the companies with only one method, 44% say they use modern interfaces, either via APIs or components such as containers. More than half of the respondents already use infrastructure as code. Organizations using this approach are twice as likely to deploy applications even when using automation. They are also four times more likely to use fully automated application pipelines.

 

Companies are realizing the potential of edge computing. It enables new services and better performance by placing applications as close as possible to the sources and users of data, situation may vary for each industry and business function. Of course, COVID-19 is an accelerator due to the distribution of labor. No less than 76 % of those surveyed are using or planning edge implementations. The top reasons are to improve application deployment, performance and data available for analysis. In addition, 39% believe that edge computing will be strategically important in the years to come. 15% already host technology for app security and delivery at the edge. More than a third of companies (42%) will support a fully remote workforce for the foreseeable future. Only 15% plan to bring all employees back to the office.

 

Companies are creating and collecting more data than they have at any point in the past. All this data is coming from different sources. However, according to surveys, sufficient data does not necessarily deliver the insights companies really need. More than half of the respondents already have tools that assess the current state of applications. But an alarming 95 % say that they are missing important findings from the existing monitoring and analysis solutions. Accordingly, the collected data is primarily used for troubleshooting, followed by the early detection of performance problems. Almost two-thirds of respondents (62%) measure performance in terms of response times. Less than a quarter of companies use them to uncover degradation in performance. And only 12 percent forward the data to business areas.

 

More than 80% of respondents believe that data and telemetry are “very important” to their security, and over half are excited about the positive effects of AI. Participants also named platforms that combine big data and machine learning (also known as AIOps) as the second most important strategic trend in the next two to five years.

 

In many ways, the coronavirus pandemic has challenged businesses and governments around the world. In order to rise to the challenges caused by the pandemic, businesses have modernized and distributed applications in short term. Digital technologies have allowed many organizations to avoid a complete standstill, due to unexpected and urgent shifts in work. Companies must continue to discover and implement AI and other digital technologies for the continuity of their business.

 

The full report can be downloaded here: The State of Application Strategy in 2021

Unlocking the Potential of Modern Hybrid Cloud Infrastructure

The Continued Growth in Private Clouds

We live in a world where information technology is embedded everywhere, and every device is in some way, shape, or form connected. Digital transformation is changing every industry with the use of new-gen platforms and technologies by enterprises to create value and competitive advantage through new business models and new relationships. The IT market is becoming dominated by tools that have the ability to easily migrate workloads between on-premises and public cloud. This is the main reason companies choose hybrid IT infrastructure, proven by a recent report “2019 State of the Cloud Report: See the Latest Cloud Trends“.

 

Cloud computing has matured to the point where it has become an indispensable part of the modern IT landscape and a central component in the IT strategies of most enterprises. While it is clear that all forms of cloud computing are on an accelerated growth, hybrid cloud is particularly in the spotlight. Today the term hybrid IT is often misused to represent the combine usage of private and public cloud, without a well thought strategy. The result is often diverse and unpredictable, and success differs from company to company and industry to industry as each enterprise works with different management model, application architectures, storage and data services. These differences can limit the ability to easily move enterprise and cloud-based applications to where they are needed.

 

In order to create an effective, modern hybrid IT infrastructure, businesses need to define their own Hybrid Cloud Strategy. Before any investment or any step towards cloud, they must question clearly what strategies they need to implement for a genuine hybrid cloud including hybrid infrastructure and multi-cloud where different IT professionals, customer and vendors will be working together.

 

By answering this question, you can calculate which of these options are less valid or valuable to your business. Each of the options can be used to build an effective and sophisticated platform, depending on the needs of your organization. The critical factor is making sure that hybrid cloud works for your organization. No two businesses are alike. Similarly, there is no reason why any two hybrid cloud strategies should be identical either. You can define what hybrid cloud means within the context of your business or organization. Here are some of the key questions that need to be answered:

 

  • Do we have a thorough picture of our current landscape?
  • Which applications need to move to the cloud – and what cloud environments suit them?
  • Why are you pursuing a hybrid cloud strategy?
  • Do you know what migration is going to cost you?
  • How much will your organization benefit from hybrid cloud? Think about the ROI
  • What must it deliver in order to meet your business goals?
  • Which workloads, applications, systems and infrastructure will it need to support?
  • How much flexibility and agility will it need so that you are ready to respond to future change and challenges?
  • How secure is the data stored on cloud? Where are the less obvious vulnerabilities in hybrid cloud environments?

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These are important considerations. The best strategy for successful deployment in the cloud requires assembling knowledgeable IT staff, which may involve some continuing education. Making your internal deployment groups and your external cloud service provider part of the process is also key to a successful migration.Most importantly, asking the right questions before will save you from uncomfortable situations later. Therefore the right hybrid cloud strategy, one that is appropriate and tailored to the requirements of your business, will help deliver the next level of productivity, agility and customer experience needed for success in today’s digital economy.

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