The Power of Digital Enablement Revolutionizing B2B and B2C Commerce Business Models 

In 2021, the metaverse became increasingly important. Dozens of brands are embracing the next generation of the internet, from luxury items to limited-edition collectibles to digital concerts. In spite of its infancy, the metaverse will play a significant role in business and marketing in the future. What should be your metaverse marketing strategy? We have compiled several tips and strategies about metaverse marketing for you in this article, along with some examples you can use. Why Metaverse Marketing Is Important For Business Success? Consumer habits have shifted dramatically as a result of the digital revolution. More individuals are doing their shopping, working, playing, and learning online in part because of the coronavirus outbreak. Physical and digital solutions can be found in the metaverse, according to its advocates. By blurring the barrier between reality and illusion, it aims to influence our perception of reality. Companies can potentially earn income by contacting new customers and enhancing consumer engagement. Regarding in-game money purchases, Roblox has 200 million active users who spent $319 million on the platform in the second quarter of 2020. Surprisingly, 67% of the platform’s user base is under the age of 16. Since Gen Z’s represent the majority in the metaverse, it is impossible to overestimate their importance as customers. Experts expect that by 2030, their spending power will surpass that of millennials and boomers. The core of the metaverse is engagement. And with greater engagement comes greater opportunities. Read on to learn about the best metaverse marketing strategies. 1. Indulge yourself quietly in the platform Advertising is, by definition, obtrusive. In addition to being distracting, the five-second commercial that appears at the beginning of a YouTube video may also be irritating. Engaging with people without disturbing their gaming experience may be achieved by integrating oneself organically within the platform. Using in-game advertising native to the game is one method of accomplishing this. Games like Football Manager and Hyper Scape have virtual advertisements for Coke, Samsung, and Volkswagen. 95% of gamers reported that these adverts improved their gaming experience and boosted their desire to buy, according to the in-game advertising platform Bidstack. Here are a few pointers for creating in-game advertisements: Consider who you’re trying to reach with your message. What motivates your audience? Do you think of them as casual, mid-level, or serious players? Your in-game campaign will be greatly influenced by how you classify your target demographic. Play video games on the proper platform. With the right platform, you can expand your audience while maintaining your brand’s identity. More casual gamers may be reached through mobile games, whereas PCs and consoles have a greater appeal to average players. Select your format. In-game applications can feature video, audio, and banner adverts in addition to virtual billboards in digital sports stadiums. Make sure your goods can be identified by their format. When promoting his album “King’s Disease II,” the recording artist Nas employed in-game audio advertising. An average of 1,275 percent more people clicked on it compared to regular in-game advertising. 2. Marketing in the virtual environment You don’t have to do everything differently just because you’ve entered the metaverse. A smart place to start is by replicating what you now provide in the actual world in the parallel virtual universe. Your brand will be noticed since it’s an organic way for users to access the metaverse. Deliveroo’s Animal Crossing marketing campaign is a good illustration of this. Multiple island-wide deliveries were made using virtual riders from the online meal delivery service. Those who participated in the game received both a virtual delivery and a promotional coupon that they could use in the real world. Deliveroo’s marketing effort attracted 3 million in-game interactions in the first hour. Increase your brand’s involvement by bringing your real-life cause into the metaverse. Food waste reduction is an important issue for Hellmann’s, the company that makes mayonnaise. Players were asked to give their “virtual rotten turnips” to a good cause on the company’s own virtual island. FareShare, a non-profit that fights food waste, got 50,000 meals thanks to Hellmann’s. 3. Selling goods to digital avatars In the metaverse, where avatars stand-in for real people, having a strong online identity is critical. Research shows that 92% of consumers appreciate personalization when creating virtual avatars. People in the 3D world, like those in the real world, spend a lot of money to express themselves. Direct-to-avatar (D2A) is emerging because of this. Direct sales and retailing of virtual goods to avatars are now possible because of this technology. It’s only natural that fashion labels would seize this window of opportunity. With the help of Fortnite, Balenciaga has created a line of virtual clothing and accessories that gamers can buy for their characters. On the other hand, Gucci has sold a $4000 digital bag on Roblox. Tips to assist you to get into the D2A industry are provided below. Assemble a team of in-platform makers You’ll be able to develop virtual items that may be used in games like Fortnite or League of Legends by collaborating with online game worlds like these. Digital clothing may also be made to be worn and traded by utilizing 3D and AR platforms with open marketplaces. If you’ve never used 3D software before, the Fabricant Studio is a good option. Play around with augmented reality. The ability to see clothes in real-time via the use of augmented reality (AR) is poised to transform the way consumers purchase. According to a study on the influence of augmented reality on retail, 61% of customers prefer to buy at establishments that provide augmented reality. By allowing customers to wear the shoes in augmented reality, Gucci made news earlier this year and set the bar high for other companies. Turn your virtual asset into an NFT. Using NFTs or non-fungible tokens, you can see exactly where your virtual clothing came from and how it was distributed. As a result, it helps to establish customer confidence in the product’s legitimacy. It’s possible to sell your virtual

Imagine walking into a high-end department store, only to be greeted by a salesperson oblivious to your recent online browsing history. They recommend a one-size-fits-all suit, completely missing your preference for a tailored look. This disconnect between departments and client understanding is precisely the challenge faced by businesses drowning in a sea of disparate data.   Data is the lifeblood of modern business. Yet, many organizations are struggling with the pressing issue of data silos. This fragmented data landscape creates a situation where marketing teams have no clue about client service interactions, and product development operates in a vacuum, unaware of evolving client needs. The consequences are dire; inaccurate insights, missed opportunities, and ultimately, stunted growth.   Let’s picture a scenario of a major fitness tracker company that just launched a new smartwatch, confident in its market research. However, post-launch sales figures were dismal. The reason? The data analyzed focused on overall fitness trends, failing to capture the specific needs of a crucial client segment; female runners. This data silo resulted in a product that didn’t resonate, leading to significant financial losses.   However, there’s a beacon of hope in this data deluge; hyper-personalization.  This revolutionary approach goes beyond traditional segmentation. It leverages the power of real-time data to create a unified client view, offering a level of personalization that feels eerily intuitive to your clients. This isn’t just about recommending the right product; it’s about understanding their unique needs and anticipating their desires.   Hyper-personalization data empowers leaders to make data-driven decisions with unprecedented accuracy. Imagine a world where marketing campaigns are laser-focused, resonating deeply with each client. Picture product development teams crafting offerings that perfectly solve client pain points. This, the power of unified hyper-personalization data, is your competitive edge in the fast-paced automated economy.    Unifying Disparate Data  We live in an era of data abundance. Every interaction, transaction, and click generates a digital footprint, creating a seemingly endless ocean of information. However, for many businesses, this data deluge isn’t a wellspring of insights; it’s a chaotic current threatening to capsize their decision-making capabilities. The culprit? Disparate data.   Imagine a treasure chest overflowing with gold coins. But instead of being neatly organized, they’re scattered haphazardly; some are buried deep, others tarnished and unidentifiable. This is the reality for organizations struggling with siloed data. Client purchase history might reside in the marketing department’s CRM system, while website browsing behavior sits untouched in analytics dashboards. Social media interactions and client service interactions may be buried in separate platforms altogether.   The consequences of this fragmentation are far-reaching. It creates a fractured view of the client. Marketing teams crafting campaigns may be oblivious to the frustrations voiced on the client service hotline. Product development departments churning out new features could be missing the mark entirely because they’re unaware of the evolving needs expressed on social media.   This lack of a unified data picture translates into inaccurate insights. Picture a business leader making strategic decisions based on incomplete or siloed data. They might allocate resources to marketing campaigns targeting the wrong demographics, or invest in product development initiatives that fail to address core client pain points. This ultimately leads to missed opportunities, wasted resources, and a disconnect between the business and its client base.   The paralysis caused by disparate data goes beyond just missed opportunities. It fuels inconsistent decision-making. One department might base its actions on one set of data, while another utilizes a conflicting set. This lack of cohesion creates internal friction and hinders the ability to execute a unified business strategy.   In today’s fiercely competitive landscape, the inability to harness the power of data can be a fatal flaw.  Fragmented data creates a blind spot, hindering a clear view of the client journey and ultimately impeding growth.  However, there’s a solution on the horizon, a way to bridge these data silos and unlock the true potential of client information; hyper-personalization.  The Hyper-Personalization Revolution  The limitations of disparate data demand a revolutionary approach. Hyper-personalization is a game-changer that transcends the boundaries of traditional segmentation. It’s the key to unlocking the true potential of your client data, transforming it from a scattered puzzle into a unified picture that empowers informed decision-making.  Hyper-personalization goes beyond simply categorizing clients into broad groups based on demographics or past purchases. It leverages the power of real-time data; encompassing everything from website behavior and social media interactions to purchase history and client service inquiries, to create a singular, dynamic profile for each client.   Imagine a client browsing your online store. Hyper-personalization doesn’t just recognize them as part of a young professional segment; it analyzes their real-time clicks, searches, and product interactions. This allows you to recommend complementary items they might be interested in, offer personalized discounts based on their browsing history, or even showcase testimonials from clients with similar preferences. It’s about creating a frictionless, hyper-relevant experience that feels tailored specifically to their unique needs and desires.  This shift from segmentation to hyper-personalization is fueled by the advancements in artificial intelligence (AI) and machine learning (ML). These technologies allow businesses to analyze massive datasets in real-time, identifying patterns and correlations that would be impossible to detect through manual processes.    Here’s how it works:  The benefits of this single-client view are far-reaching. It empowers businesses to make data-driven decisions with unprecedented accuracy and agility. Here are just a few examples:  The technological foundation of hyper-personalization is built on several key components:  Hyper-personalization isn’t just a technological marvel; it’s a paradigm shift in client engagement. It’s about moving from a one-size-fits-all approach to a world where every client feels valued and understood. This, ultimately, is the key to building stronger client relationships, fostering brand loyalty, and achieving sustainable growth in an increasingly competitive digital landscape.  Hyper-Personalization Data Fueling Optimized Decision-Making Across Your Organization  Disparate data is a burden, a tangled web that hinders clear insights and informed decision-making. Hyper-personalization data, in contrast, is the key that unlocks this treasure trove of client information. It transforms fragmented data into a unified platform, empowering leaders

For many organizations, the probing question today is how to accomplish successful supply chain management in a wildly dynamic and somewhat unpredictable business environment. While the global supply chain industry is projected to register a cumulative growth of 11.2% from 2020 to 2027, many companies don’t have a proactive management system in place, which has led to a subpar supply chain accuracy of only 63%.  While we know that effective supply chain management is a product of using adequate tools and making well-informed judgments, it’s not been easy to pull it off. That’s where a smart supply chain solution can help businesses to streamline their operations, increase productive output, reduce costs, and fine-tune logistical procedures.  Let’s take a closer look at what intelligent supply chains are and how to become a supply chain leader in a highly competitive economy. What Exactly is Intelligent Supply Chain Management? It is not a secret that manual labor permeates most steps of conventional supply chains, resulting in operational as well as financial inefficiencies along with a lack of precision. Integrating cutting-edge technologies like Artificial Intelligence, Machine Learning, Blockchain, and the Internet of Things (IoT) into supply chain management is the essence of intelligent supply chain management. Intelligence-Based Supply Chain Control Many aspects of the supply chain can be improved by incorporating digital technologies into a conventional supply chain. They can enable businesses to gather meaningful data in real-time from a variety of sources and provide useful and actionable insights. As a result, the business acquires the ability to make better decisions as information may be accessed wherever and whenever. Digitalization of the processes can help organizations build easily scalable, cloud-based systems for managing supply chains that are fast and reliable. It ensures your supply chain can change with the needs of your customers, and your business gets itself in a better position to be proactive as it can get early warnings of any potential dependencies or disturbances. Apart from that, an intelligent supply chain can help with budgeting and planning for future goals and business objectives. Leveraging digital intelligence, you can manage your inventory data, monitor your shipments, foresee and prevent challenges, and react swiftly to any issues that may arise. What Steps Can Supply Chain Managers Take to Implement Smarter Procedures? The whole contemporary supply chain is being disrupted by innovations in technology. To upgrade your supply chain, choose from a variety of available technologies. Your supply chain can be transformed by implementing these intelligent practices. Introduce IoT Integration for Efficient Management The Internet of Things (IoT) is an innovative technological solution that can provide data-driven answers to common supply chain challenges. With the deployment of IoT, businesses can envision a future in which all inventory management gadgets and devices stay online. The data collected by these devices can be processed and turned into valuable insights for the efficient supply chain management. With IoT, organizations can finally replace antiquated methods and tools as it can enable more efficient management of multi-channel supply chains. For instance, with the installation of trackers in merchandise, businesses can keep an eye on their goods from the moment of storage all the way through transportation and delivery without any hassle. If a shipment gets delayed or faces any technical issues, location tracking and live notifications can alert businesses to make the right call at the right time. On the same note, with the use of environmental sensors, businesses can monitor the conditions of inventory in storage or in transit, including temperature, humidity, pressure, etc., and take corrective action as necessary. Implement Blockchain-Enabled Data Storage and Transfer Blockchain technology is generally associated with cryptocurrencies; however, it has applications beyond digital tokens. Blockchain technology can enable businesses to securely record financial dealings, and it is well suited to trace the provenance of product data, confirm the authenticity of transaction records, and establish confidence in the information being exchanged, for example, that of a supplier. As a consequence, the organization will have an easier time following the flow of items through its supply chain. Blockchain solutions can aid in halting leaks, spotting fake goods or fraud, pinpointing potentially dangerous vendors, and fostering open communication. Be Forward-Thinking with Machine Learning, Artificial Intelligence, and Data Analytics When dealing with massive amounts of supply chain data, conventional methods often fall short, particularly in terms of processing, categorization, and security. With machine learning (ML), organizations can train computers to successfully process large amounts of data automatically with little human input. Integrating ML algorithms with AI and analytics results in a compound effect that can be leveraged by the business to introduce operational efficiency and enable informed decision-making. Having these technologies supporting the business allows companies to anticipate trends and access correct information better. As a result, businesses see an enhanced performance in areas like demand forecasting, cost reduction, revenue creation, productivity, and supplier delivery. In recent years, predictive analytics has also risen to prominence. Predictive analytics investments have been made by organizations primarily to drive cost reduction and to enhance customer experience, according to Deloitte’s Supply Chain Digital and Analytics report. Together, these three tools can empower businesses to swiftly increase supply chain visibility and implement strategic sourcing and optimization. Additionally, they may identify inefficiencies, make immediate adjustments, and develop an understanding to reduce downtime and improve processes. Time to Invest in Automation Was Yesterday More than a decade ago, robots began playing an important part in the supply chain, either in the warehouses or the vehicles themselves. However, because of technological advancements like AI, many more duties previously performed by people can now be done by robots. This makes heavy loading and order fulfillment processes amenable to automation. Do keep in mind that industrial robots benefit greatly from the use of AI/ML and the Internet of Things, which increase their accuracy and efficiency. That’s why we’re seeing the rise of collaborative robots or “cobots” designed to do work alongside people to automate and streamline all the repetitive, laborious, time-consuming, and error-prone tasks. Effective