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“Sustainability” has become a buzzword for customers, governments, and businesses alike, as they swiftly implement the latest technology in manufacturing. Jumping onto the wagon are manufacturers too.
A top priority while rethinking the traditional manufacturing processes is decarbonization. It is key to rethinking manufacturing, requiring optimized processes, reduced waste, and eco-friendly materials to achieve net-zero goals.
So, what green manufacturing technologies can companies adopt to achieve their sustainability goals? And, how are these innovations benefiting the global landscape?
Let’s find out.
As manufacturing processes become more interconnected and data-driven, the sector faces escalating cyber threats, surpassing even finance and insurance in the share of global cyberattacks.
The integration of IoT, robotics, AI, and autonomous machines has further expanded the attack surface, raising concerns about data security and potential operational disruptions. Key threats include:
Manufacturers must address the challenge of outdated, rigid infrastructures that are often incompatible with modern technologies.
Digital transformation requires a comprehensive organizational shift, starting with:
At the same time, establishing a carbon footprint baseline is crucial for sustainability.
While manufacturers often measure direct energy usage, accounting for indirect emissions is challenging.
Automation, cloud computing, and data analytics can help by recording and reporting environmental impact, but many companies still rely on outdated, disconnected systems.
Traditionally, manufacturing stages operated in isolation, causing issues like heavy inventories, wasted hours, and increased costs due to a lack of integration.
Emerging technology models, by contrast, are agile and flexible, enabling rapid adaptation to changing demands.
However, adopting this model requires:
These shifts demand a new mindset on the assembly line. However, they are often met with resistance from labor and middle management, who may question whether the new approach truly outperforms the traditional model.
One of the biggest challenges in manufacturing digitization is the limited expertise needed to safely implement advanced technologies.
Manufacturers must invest in learning to use tools like advanced analytics, AI, machine learning, digital twins, and automation.
Without this knowledge, progress can stall.
For companies without in-house tech teams, outsourcing can ease the adoption process. The process can be further simplified with expert partners like Sundew offering strategic guidance and simplifying the transformation journey.
Human errors are one of the most common challenges in manufacturing digitization, affecting safety, quality, and cybersecurity.
For example, employees may incorrectly configure machines, disclose sensitive information, mishandle equipment, or open unknown attachments.
Additionally, new processes can increase the risk of human error, especially if employees are resistant to change.
To address this, it’s important to highlight the benefits of digitization, empowering employees to identify areas for adaptation and improvement rather than imposing change.
As environmental awareness rises, consumers are increasingly seeking ways to reduce their impact.
Governments and global organizations are also introducing regulations to ensure manufacturers adopt greener practices.
So, how is technology used in manufacturing to promote more sustainable outcomes?
Here are some key technologies that businesses must implement to stay compliant and future-proof.
AI is transforming production efficiency across industries, and its impact on sustainability is equally profound.
For manufacturers, AI integration stands primary in meeting 79% of sustainable development goals. This can be done through robotics, machine learning, or advanced data systems.
Beyond environmental benefits, AI offers manufacturers and their clients substantial business advantages.
By leveraging AI-driven insights, companies can enhance product quality, reduce defects, and minimize downtime from equipment inefficiencies.
The result? Reduced waste, energy savings, and timely delivery of superior products to customers.
Big data is another technology in manufacturing that enhances both sustainability and productivity.
Advanced big data & analytics systems are transforming how businesses monitor supply chains, predict customer demand, plan operational capacity, and assess environmental impact.
With up to 2,000 pieces of equipment on a single production line, each equipped with 100-200 sensors collecting data every second, the potential for manufacturers is immense. This data enables accurate emissions reporting and rapid identification of efficiency challenges.
Moreover, data sharing promotes innovative collaboration, allowing companies to pool resources, fill capability gaps, and access new markets.
For example, integrating insurance underwriters and telecommunications providers can deliver microinsurance via mobile subscriptions to underserved populations. By harnessing big data, manufacturers can drive sustainable growth while addressing social and environmental issues.
Equipping production systems with intelligent technologies allows manufacturers to enhance efficiency and safety, and minimize downtime. A recent ABB survey found that IIoT integration has helped 94% of manufacturers see significant improvements in sustainability.
By connecting machines, manufacturers can monitor performance in real-time, swiftly addressing inefficiencies and preventing costly downtime and waste. Sensors track carbon emissions, providing visibility and traceable metrics for regulation compliance.
Additionally, enhanced waste traceability offers deeper insights into waste management systems.
Ultimately, connecting intelligent machines provides actionable data that helps businesses meet compliance standards. This approach also facilitates more sustainable operations and supply chains.
ERP systems integrate all major business functions - from accounts and procurement to operations - by collecting and sharing data across the organization. This comprehensive overview helps manufacturers meet compliance standards and achieve end-to-end efficiency.
By providing insights into energy and material consumption, ERPs enable executives to identify opportunities for waste reduction and efficiency gains.
They also facilitate accurate carbon impact estimates, pinpointing areas for minimizing greenhouse gas emissions and driving sustainability.
Implementing the latest technology in manufacturing companies offers transformative advantages at every stage of the production process. These include the following.
Advanced technologies significantly reduce energy consumption, emissions, and waste, leading to a smaller environmental footprint. By embracing eco-friendly practices, manufacturers help preserve natural resources and address climate change.
Investing in sustainable technologies often results in long-term cost savings. Energy-efficient machinery lowers utility bills, while waste reduction strategies minimize disposal costs, enhancing overall operational efficiency.
Adopting green manufacturing practices provides a competitive edge as consumers increasingly favor eco-friendly products. This commitment enhances brand reputation and attracts environmentally conscious consumers and talent.
With stricter environmental regulations, new technology in the manufacturing industry enables companies to meet compliance standards effectively. This proactive approach mitigates legal risks and builds trust among stakeholders.
Technologies like additive manufacturing and AI enhance operational efficiency, resulting in higher-quality products and faster response times to market demands. This, in turn, significantly boosts productivity.
Automation and robotics reduce human exposure to hazards on the production line. Remote monitoring allows workers to focus on complex tasks, enhancing safety and overall well-being.
Advanced digital technology in manufacturing promotes enhanced agility in the face of challenges. Companies that leverage these innovations often outperform competitors and adapt better to market changes.
As eco-conscious consumers prioritize sustainability, businesses aligning with these values can achieve greater market success. Technology helps navigate stricter regulations, ensuring profitability while appealing to a conscientious audience.
Achieving net zero will require reimagining entire ecosystems— using AI integration, IoT, and big data to optimize processes, cut waste, and boost efficiency.
While the challenges may seem daunting, companies worldwide are introducing innovative solutions aimed at preserving the planet for future generations. While addressing the environmental impact of industrialization is a complex and gradual process, it is undoubtedly achievable.
Technology in manufacturing plays a pivotal role in this transformation, delivering scalable and impactful solutions to build a more sustainable future.
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Data Storage Decoded: Data Warehouse vs Data Lake Explained
As organizations race to harness the power of data, choosing the right storage strategy has become a mission-critical decision. One of the most common debates in this space is data warehouse vs data lake: two fundamentally different approaches to storing and managing data. While both serve as repositories, they differ drastically in structure, purpose, and use.A data lake is a massive, unstructured pool that stores raw data of all types, often before its purpose is even defined. In contrast, a data warehouse is a structured, purpose-driven system built to store processed historical data for fast querying and business intelligence.The important part is making informed decisions tailored to your data strategy. To do so, let’s decode the differences, strengths, and best-fit scenarios of data warehouse vs data lake.Understanding Data WarehouseA data warehouse is a structured, curated, and business-ready data repository designed specifically for reporting, analytics, and decision-making.Some of its notable functions include:Storing cleaned, processed, and organized data.Using a schema-on-write model, data must conform to a predefined structure before being stored.Ideal for structured queries, KPI tracking, and historical trend analysis.Common Data Warehouse PlatformsSnowflakeAmazon RedshiftGoogle BigQueryUse Case ExampleA retail company uses a warehouse to track sales performance by product and region. Insights are fast and reliable. Warehouses prioritize speed and accuracy, which are ideal for reporting and forecasting. Their structure supports compliance, governance, and enterprise standards.Benefits of Data Warehouses1. Performance & AccuracyBuilt for speed and reliability in querying and reporting.Supports dashboards, executive KPIs, and ad-hoc analysis.2. Optimized for Business IntelligenceSeamless integration with BI tools like Tableau, Power BI, and Looker.Supports SQL-based querying, data visualization, and real-time analytics.3. Governance & Compliance-ReadyStructured environment supports data governance and regulatory compliance.Ideal for industries requiring audit trails and data lineage.4. Enterprise-Grade InfrastructureFeatures like partitioning, indexing, and performance tuning optimize large-scale analytics.Ensures data consistency, quality, and accessibility for enterprise teams.Industry RelevanceData warehouses are trusted by financial services, healthcare, government, insurance, and other regulated sectors for their:TraceabilityTransparencyAuditabilityThey serve as the single source of truth for strategic business operations.Data Lakes ExplainedA data lake is a flexible, scalable, and schema-on-read storage system that allows organizations to ingest and retain data in its raw form, structured, semi-structured, or unstructured, without needing to format it at the time of ingestion.Accepts all data types: logs, videos, sensor data, JSON, etc.No upfront data modeling needed (schema-on-read).Enables direct exploration by analysts, engineers, and data scientists.Popular Data Lake PlatformsAmazon S3Azure Data Lake Storage (ADLS)Hadoop Distributed File System (HDFS)Use Case ExampleA media company stores videos, user logs, and transcripts for later machine learning use. Lakes store everything, making them ideal for innovation. They’re also cost-effective, making use of cheap storage to scale quickly. But they require governance to avoid becoming data swamps.Benefits of Data Lakes1. Cost-Efficient ScalabilityUses low-cost object storage to handle petabytes of data.Scales quickly without the need for complex transformation processes.2. Ideal for Innovation and ExperimentationSupports fast, flexible ingestion for IoT, social media, clickstream, and more.No rigid ETL pipelines. Teams can move from raw data to insight rapidly.3. Advanced Analytics & AI-ReadyIntegrates with tools like Apache Spark, Hive, TensorFlow, and more.Enables real-time data analytics, machine learning, and predictive modeling.4. Extensible & AgileIngests new data sources instantly without re-architecting.Empowers departments (marketing, R&D, customer success) with fast access to data.5. Collaborative Analytics EcosystemPrep and transform data with data engineering.Data scientists model and experiment.Analysts visualize and deliver insights, all from a shared environment.Key Differences Between Data Warehouses and Data LakesThe table below simplifies the data warehouse vs data lake comparison. Each model serves a different strategic goal. Business leaders must evaluate based on outcome priorities, not buzzwords.Using a Data Lake vs Data WarehouseChoosing the right data storage type between a data lake and a data warehouse hinges on your business objectivesA data warehouse would be the ideal choice if an enterprise needs structured, reliable data for tasks like financial reporting, KPI tracking, or regulatory compliance.Contrarily, a data lake is more suitable for unstructured or semi-structured data like clickstream logs, IoT feeds, or for running machine learning models and advanced analytics.Key Decision FactorsWhen evaluating your architecture, consider the following:Data maturity and your current analytics ecosystemCompliance and governance needsTypes of users (business analysts, data scientists, engineers)Scalability requirementsTechnology and infrastructure investmentsAdditionally, look into the following:Data Governance ImplicationsData warehouses come with built-in governance, lineage, and access control features.Data lakes require active investment in tools for Metadata management, Role-based access, Data cataloging, and tracking.Cost OptimizationWarehouses are compute-intensive and more expensive due to their processing requirements.Lakes offer cost-effective storage at scale but may trade off performance if not well-managed.Why Most Organizations Need Both?In modern data architectures, it’s rarely an either/or scenario. Many enterprises adopt a hybrid strategy where:Data warehouses support business intelligence and operational reporting.Data lakes power innovation, experimentation, and long-term data storage.This model balances agility, performance, and cost-efficiency, delivering the best of both systems.Emerging Trends: The Rise of the LakehouseThe gap between lakes and warehouses is being bridged by lakehouses. They combine structure with flexibility. Lakehouses enable advanced analytics on raw data without moving it. Platforms like Databricks and Snowflake now support this hybrid model.Lakehouses reduce duplication and streamline pipelines. One system, multiple outcomes. They also enable real-time analytics and cost optimization. This evolution supports the growing demand for unified data architectures.By unifying transactional and analytical workloads, lakehouses eliminate silos. You can build data products faster. Data engineers spend less time moving data and more time delivering value.Real-time decision-making is a key advantage. Lakehouses enable predictive modeling on streaming data. This is crucial for dynamic industries like e-commerce, logistics, and fintech.Security is built-in. You get encryption, compliance, and versioning out of the box. These capabilities make lakehouses enterprise-ready.The lakehouse is becoming a strategic standard. Enterprises want agility and governance in one place. Expect more companies to shift to this model in the next 2 - 3 years.Final ThoughtsThe difference between a data warehouse and a data lake is strategic. Warehouses offer precision and governance. Lakes bring flexibility and scale. Together, they form a powerful ecosystem.Businesses should evaluate current needs and future goals. You should refrain from falling into the trap of choosing either one. Use both to maximize the full data value. Stay ahead by building modern, hybrid data architectures. Embrace lakehouses if you want the best of both worlds.Choose architecture that fits your vision, not just your data. Leverage tools that match your outcomes. Invest in governance and scalability early. The future of enterprise intelligence is unified, flexible, and real-time. Your architecture should reflect that.
9 Must-have Features in an E-commerce App Why do you need it for your Business?
If you’re considering a mobile app for your e-commerce business, you may want to take a look at some of the latest statistics. You should know whether investing in the new app will be profitable for your business in the long run before developing it. Before you launch your app, you have to be sure that your customers will find your app important enough to download and use e-commerce applicationsDo you need an e-commerce app? Why?A study asked mobile shoppers how often they shop through apps. Even if many use retail apps on their mobile devices, they do it infrequently. Over half, at 57%, use their apps once per month or less. Only 10% say they use their apps once per day or more. Quite a few consumers download and use retail apps only sporadically. Other customers interact through a mobile device by visiting your mobile site.In fact, people are much more likely to visit your website for almost any online shopping activity, except for redeeming gift cards and loyalty program points. When checking store hours or locations, 66% will visit your website, and 45% use your app. On the other hand, 50% visit your website, and 31% use your app to check reviews. Around 19% will use the e-commerce app and 12% will visit your site to use their gift card or loyalty points. If you plan to use app-based loyalty programs, you could find that developing your app is worth the cost.Types of businesses that need an e-commerce appRetail, Wholesale, and Online ShoppingOnline retailing, e-retailing, or wholesale refers to the transaction of goods and services through online stores from businesses to potential and regular customers. It is achieved through virtual shopping carts and e-catalogues. The applications of e-commerce in this sector are numerous.The shopping preferences of people have undergone a massive change in the last few years. “Go online” has become a motto for most businesses to succeed. Online shopping is comfortable, convenient, and cost-effective. The prosperity of several online shopping apps validates this.FinanceFinance and e-commerce are more connected today than ever. Banking sectors and the stock market use e-commerce significantly to carry out their operation seamlessly. Online banking provides provisions such as balance check, bill payment, money transfer, etc. Online stock trading enables people to carry out trading electronically by providing information about stocks including analysis, performance reports, charts, etc. through websites.AuctioningCollaborating auctions with the e-commerce sector takes the business to the next level where people can participate without any geographical boundaries. It leads to more participation, more negotiation, and helps to make auctions successful.MarketingOnline marketing activities such as pricing, product features, and building customer relationships can be strengthened using an e-commerce portal to provide users with an enhanced and customized shopping experience. Digital marketing strategies have become a promising way to promote businesses.E-bankingE-banking is an e-commerce application that has simplified time-consuming and complex banking processes. It enables bank users to carry out transactions easily online without having to wait in long queues. Every major bank has its own online application to provide virtual banking services to its customers.9 Must-have Features in an e-commerce appFirst, you need to define your e-commerce goals with utmost clarity. What type of eCommerce mobile app do you want to launch your business – Android or iOS? What is your product? Who is your target audience? Next, you have to set important steps regarding the right features for your eCommerce Mobile Application.Easy Registration ProcessIt can be an exhaustive one for your customers if they are confronted with pages and pages of information to fill in to register an e-commerce app. With everybody having a Social Media Account today, make sure it’s an easy registration process. You can enable signup and log in with two clicks at maximum to welcome your customers on board! Moreover, you can earn extra brownie points to explore their preferences through their Social Media Accounts!Multiple Payment OptionsImagine how a customer would think if he could not find his convenient payment option after dumping his stuff into the cart. You just lost a customer and many others who prefer the same payment option that your app does not feature. You have to open the doors to the most popular payment methods like credit cards, debit cards, net banking, and eWallets to ensure that you subtly push your customers toward using your app’s in-built wallet.Push NotificationsYour customers have their needs and wants, you have the supply to satisfy them, but how to bridge this communication gap? Push notification improves customer engagement because they keep customers informed of recommendations, discounts, sales, promotions, and offers. Thus, it offers you the ability to cross-sell and up-sell for better profits.Social Media IntegrationDon’t tell me that you do not want ALL the attention of your customers. Social media integration will ensure that your eCommerce mobile app is right in front of your customers while they chat on Facebook, Tweet on Twitter, or pin on Pinterest. This will also prompt them to share the seasonal discounts you offer on their social media accounts. User-generated content is the best way for word-of-mouth marketingComplete SynchronizationIf you have your eCommerce website and eCommerce mobile app, you can come up with a very exciting feature. It helps you reach your targeted audience fast and make their buying experience better. Speed up the process by getting our eCommerce mobile app synchronized with the website to save time, beat the competition, and increase your sales.Google AnalyticsOptimize the use of Google Analytics to check out how your potential customers are looking to be on your mobile app with the help of real-time data. Know which product of yours needs a different packaging, what offers can make an appealing combo, and which demography is resonating with your business with Google Analytics.Review & RatingEmpower your customers to rate and review your app and its features. The reviews will help you achieve a sense of realization about the products that you are offering to your customers.Wishlist ButtonIt happens many times that your customers would love to purchase the items but are running out of money at that very moment. They want to buy it, not now but definitely when they can afford it. Therein comes the importance of a wishlist as it helps your customers to save products they wish to buy later. In addition to that, you get a chance to know the preferences of your buyer and personalized offers!Easy CheckoutThe universal fact is that the customers hate to wait in the billing queue. You won’t let them wait with a virtual billing system for sure. To ensure that they do not abandon the cart, create a hassle-free checkout process. Help them save their address, e-wallet, and card details and get them faster through the payment gateways. Can you increase your sales by establishing your own e-commerce app?The bottom line is that e-commerce apps are the future of this digitally-driven world. Mobile application developers help your company to reap the benefits of the online retail business. Mobile eCommerce apps help brands know their customers better by staying closer to them with just a ‘finger tap’. As customers spend most of their time on mobile phones, ensure that your brand offers product details, and contact information, and motivates them to purchase.Smartphone owners are now increasingly using their devices to shop and search for products. The mobile app is also convenient and provides a personalized user experience that many customers now look for. The best thing? The mobile app encourages users to become returning customers rather than one-time shoppers.ConclusionWith its decade-long experience in e-commerce apps and software development for retail industries, we can be the perfect partner to consult and build an eCommerce mobile app for your business. We can help you create scalable and robust e-commerce apps from scratch that expand your current business and skyrocket your sales.
Upcoming digital transformation trends in real estate
The global real estate market is estimated to have reached US$ 7,063 billion in 2022, and the IMARC Group predicts that this market will exhibit a CAGR of 1.8% from 2023 to 2028, reaching US$ 7,954 billion by 2028.The advent of spring marks the beginning of the busiest season in real estate. Most buyers initiate their search by going through the listings available online. Consequently, despite being slow to adopt digitization, real estate is currently poised for a massive technological transformation. This is predicted to help this industry overcome upcoming cyclical headwinds and steer it toward long-term growth with profitability.The need to stay relevant and aligned with changing market trends drives the real estate sector to evolve and adapt to new paradigms. Staying ahead of the competition is imperative. Adopting disruptive digital technologies and leveraging data analytics are the only ways to achieve it. Other reasons that justify the need for digital transformation in real estate include increasing global audience outreach, changing customer demands, improving operational efficiency, streamlining organization structure, and achieving cost efficiency.The inroads made by AI technology into real estate have already made this sector lucrative for investors and customers. It has also increased the productivity of people associated with it, like real estate employees, agents, and brokers. Enhanced adoption of the latest transformative technologies will amplify them and add on a few more.Deloitte's latest report on real estate lists six key expected outcomes of real-estate digital transformation. They are:Elevated, frictionless customer experienceEmpowered employeesUnique personalized relationshipsData analytics-based decisionsTech-enabled processesOn-demand deliveriesThese key outcomes, once accomplished, will help foster growth through meaningful interactions and collaborations.Data AnalyticsUser activities online leave a digital footprint or data trail. With an exponentially growing customer base looking for online convenience in real estate, Big Data generation is an obvious outcome. Traditionally, the real estate industry has only used data for transactional purposes and to determine the value of a property.Now data is analyzed to help buyers, realtors, brokers, and agents optimize their operations by gaining better market insights into trends capable of influencing future consumer behavior. Further, Data Analytics can streamline associated workflows for property listings and help people make informed decisions on critical real estate metrics like property value, its physical attributes, and rental rates.It can also enhance real estate investment portfolio management by identifying niche audience segments and targeting potential customers with concentrated sales and marketing efforts. Buyers can now calculate investment ROI to understand the feasibility of their real-estate investment. This enhances buyer confidence. Other benefits include proactive implementation of risk management efforts by identifying potential vulnerabilities from the data analysis of past transactions.Data Analytics will have a significant influence on current and future real estate transactions. From lead generation to workflow efficiency and reporting, data analytics will help unlock new potential levels for all aspects of the real estate industry. Virtual ToursTypically, buyers visit at least 5 to 7 houses before zeroing in on one. While physical tours are time-consuming, virtual tours are time-efficient. A virtual tour is a comprehensive “3D walk” through a property put up for sale. Accomplished with just a few clicks by using technologies like AR and VR, potential buyers can view properties irrespective of their location, making the whole process convenient and easy.A Goldman Sachs research predicts that the market for VR in real estate alone will generate approximately $2.6 billion by 2025. Real estate virtual tours typically start with giving buyers virtual directions to reach the property. They unlock the front doors virtually and walk through the property to better understand its layout, size, and features. No agents or appointments are required. Buyers can even decorate the homes virtually.Virtual tours make for an interactive and engaging experience. Buyers can make immediate decisions, and realtors and brokers can capitalize on this to enhance cost-effective conversions.Real-time tracking softwareConventional legacy systems cannot cater to the growing demands of this sector. Several aspects of real estate need real-time tracking, like agent output, transactions, and customer relations. Implementing ERP or Enterprise Resource Planning software is already driving real estate digitization in a big way.Real-time tracking will enhance its significance by improving transactional data management and streamlining deal closing with smart contracts and eSignatures. The resultant seamlessness achieved will augment the buyer-seller relationship. Other benefits include improved efficiency in monitoring property listings, generating leads, and augmenting transactional accuracy.BlockchainTraditionally, the real estate industry has been plagued by transactional fraud. Adopting disruptive blockchain technology can reduce instances of fraud by providing a host of safe options like better data accessibility, zero intermediaries, enhanced process transparency, reduced business costs and risks. In addition, it will empower buyers and realtors to close deals quickly and securely. Statista reports forecast the worldwide spending on blockchain solutions to grow from $4.5 billion in 2020 to about $1.9 billion by 2024.The viability of this forecast is evident from the benefits that blockchain technology usage will bring to the real estate industry. For example, by creating an immutable ledger of all transactions, blockchain technology makes it easy to track property ownership and transfers. Encryption and decentralized record-keeping make this technology resistant to tampering and fraud. This will further help to enhance the security of these transactions. Intelligent chatbotsReal estate witnesses a relatively higher number of customer interactions and can benefit significantly from integrating this technology. AI-powered chatbots can augment the efforts of live agents by enhancing lead generation, building customer profiles, answering customer queries, resolving customer issues, and scheduling virtual property viewing.Automating repetitive tasks will help free-up live real estate agents so they can focus on other complex and important tasks like formulating marketing and sales strategies. The need for customer service staff is also greatly reduced, leading to a decrease in the company’s operational cost.Additionally, Chatbots can add value to real estate customer service with their round-the-clock availability, real-time, ultra-fast, personalized customer engagement, and excellent time management.ProptechShort for property technology, proptechs are touted to be real estate technology drivers and disruption power centers. They rely on information technology to help buyers and realtors research properties, match buyer needs with available listings, and buy, sell, rent, and manage real estate.Even though a relatively new development in real estate, its rapid acceptability is powered by the convergence of technologies associated with digital transformation and the cloud. Proptechs will benefit this industry by minimizing individual transaction costs and resources, maximizing efficiency and accessibility, saving time, and customizing property management. Space-as-a-concept(SpaaS)At its core, SpaaS deals with helping corporates create upgradable and adaptable office spaces aligned with their evolving needs. It proactively enhances productivity by transforming experiences within an organization’s real estate portfolio. This concept challenges the norm of conventional asset ownership by offering physical space access monetization as a service. Corporates save on operational costs by paying only for the area currently in use. ConclusionWith technology playing an integral role in enhancing the efficiency of the real estate industry, all processes from property search to financing will become streamlined and frictionless. Taking advantage of the trends mentioned above will be a major competitive differentiator.
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