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#Digital Twins in Warehousing
i4technolab · 11 months
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In today’s fast-paced world of logistics innovation and evolution have become the driving forces behind success. As we step into 2024, the logistics sector will undergo extensive disruptions, fueled by game-changing innovations that promise to revolutionize supply chain management as we know it.
At iFour, we take immense pride in our expertise in the logistics industry, and we are excited to share with you the trends that are currently transforming this dynamic sector in Australia. As a leading custom Logistics software development company, we understand the unique challenges and opportunities facing businesses in the Australian market.
Here are the key trends that are reshaping the logistics landscape and how our solutions can help your company stay ahead of the curve.
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tamanna31 · 8 days
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Industry 4.0 Market Share, Supply, Sales, Manufacturers, Competitor and Consumption 2023 to 2030
Industry 4.0 Industry Overview
The global Industry 4.0 market size was estimated at USD 146.14 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 19.9% from 2023 to 2030. 
The factors driving the market growth include increasing adoption of automated equipment & tools on factory floors, warehouses, and manufacturing; rising investment toward addictive manufacturing units; and growing digitalization trends globally. Moreover, the emergence of cutting-edge digital technologies like Machine Learning (ML), Artificial Intelligence (AI), Internet of Things (IoT), 5G connectivity, and cloud-based services, among others contribute to the thriving landscape of the market. These converging factors are projected to create lucrative growth opportunities for the market.
Gather more insights about the market drivers, restrains and growth of the Industry 4.0 Market
Industries are increasingly subject to stringent regulations related to product safety, quality standards, environmental impact, and data privacy. These technologies enable end-users to effectively comply with these regulations by providing real-time monitoring, traceability, and quality control mechanisms. The end-use compliance issues are categorized into process and product compliance. Industry 4.0 practices are ideal for companies aiming to achieve time and quality metrics at reduced costs. Digitization of production aids in numerous tasks, such as engineering changes, risk assessment, process improvement, improving process visibility, and providing data on demand. Therefore, the need for compliance to gain a competitive edge is expected to act as a significant growth driver for the market.
The adoption of IIoT technologies is a significant opportunity in the market. By connecting industrial equipment, sensors, and devices, companies can gather real-time data and enable machine-to-machine communication. This data can be used to optimize production processes, reduce downtime, and improve overall operational efficiency. As the systems become more connected, ensuring the security of industrial networks and data becomes crucial. The increasing complexity of the industrial ecosystem creates opportunities for cybersecurity solutions and services. Companies can develop robust cybersecurity frameworks, implement secure communication protocols, and offer solutions to protect against cyber threats, thereby addressing the growing demand for secure systems.
The combination of robotics & automation with the IoT results in IoT-enabled robotics, enabling remote monitoring and predictive maintenance, driving efficiency through data-driven insights. Innovations in fleet management and robot swarms are shaping industries, such as logistics and warehousing, by orchestrating coordinated robot actions. Simultaneous localization and mapping (SLAM) technology empowers robots to navigate complex environments autonomously, underpinning applications like autonomous vehicles and drones. Wearable robotics boost human capabilities, particularly in sectors where physical assistance is pivotal, like healthcare and manufacturing. Leveraging digital twins for robot design and optimization expedites development while refining performance.
Enhanced human-robot interaction and user interfaces underscore the seamless integration of robots into various industries. These concepts work together to illustrate the development of industrial robots and automation, revolutionizing manufacturing efficiency, enhancing human skills, and spurring innovation across industries. The market landscape is significantly influenced by AI and ML technology trends. Within this trend, several key developments stand out. Predictive analytics and maintenance leverage AI and ML to foresee and prevent equipment breakdowns, optimizing maintenance schedules. Anomaly detection and quality control utilize these technologies to identify irregularities in manufacturing, ensuring product excellence swiftly. In addition, supply chain and inventory optimization benefit from AI-driven algorithms that enhance efficiency by refining inventory management and logistics.
In August 2023, Telefonaktiebolaget LM Ericsson and RMIT University collaborated to establish the RMIT & Ericsson AI Lab at RMIT's Hanoi campus in Vietnam. This initiative builds upon their existing 5G education partnership, to educate Vietnamese students about 5G and emerging technologies including AI, machine learning, and blockchain. The use of artificial intelligence in Industry 4.0 projects is becoming increasingly prevalent in Vietnam. The deployment of 5G, Ericsson, and RMIT are now able to assist business, academic, and neighborhood partners in developing and implementing AI solutions that will help drive the adoption of Industry 4.0 across a range of sectors. This will benefit industries, such as energy, manufacturing, agriculture, transport, and logistics.
Browse through Grand View Research's Next Generation Technologies Industry Research Reports.
The global AI in aerospace and defense market size was valued at USD 22.45 billion in 2023 and is projected to grow at a CAGR of 9.8% from 2024 to 2030.
The global aviation software market size was estimated at USD 10.68 billion in 2023 and is expected to grow at a CAGR of 7.2% from 2024 to 2030.  
Key Companies & Market Share Insights
The key players in the market often include technology innovators, solution providers, and research institutions. These players contribute to the development of advanced manufacturing, automation, IoT, AI, and data analytics solutions. Their efforts drive the transformation of industries through digitization and smart technologies, impacting supply chains, production processes, and customer experiences. They also encompass software developers, hardware manufacturers, etc. as these entities collaborate to create integrated solutions that optimize production efficiency, enhance predictive maintenance capabilities, enable real-time monitoring, etc.
In addition, regulatory bodies and standardization organizations play a crucial role in shaping the framework and guidelines for the ecosystem. For instance, In August 2023, Denso Corporation acquired a full stake in Certhon Group, a horticultural facility operator. The aim of this acquisition is to further accelerate their efforts to solve global food challenges by leveraging the strengths of both companies and the results of their past collaboration. Some prominent players in the global Industry 4.0 market include:
ABB LTD.
Cisco Systems Inc.
Cognex Corporation
Denso Corporation
Emerson Electric
Fanuc Corporation
General Electric Company
Honeywell International Inc.
Intel Corporation
Johnson Controls International
Kuka Group
Robert Bosch GmbH
Rockwell Automation Inc.
Schneider Electric SE
Siemens AG
Order a free sample PDF of the Industry 4.0 Market Intelligence Study, published by Grand View Research.
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industrynewsupdates · 27 days
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Industry 4.0 Market Leading Players Updates and Growth Analysis, 2030
The global Industry 4.0 market size was estimated at USD 146.14 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 19.9% from 2023 to 2030. 
The factors driving the market growth include increasing adoption of automated equipment & tools on factory floors, warehouses, and manufacturing; rising investment toward addictive manufacturing units; and growing digitalization trends globally. Moreover, the emergence of cutting-edge digital technologies like Machine Learning (ML), Artificial Intelligence (AI), Internet of Things (IoT), 5G connectivity, and cloud-based services, among others contribute to the thriving landscape of the market. These converging factors are projected to create lucrative growth opportunities for the market.
Gather more insights about the market drivers, restrains and growth of the Industry 4.0 Market
Industries are increasingly subject to stringent regulations related to product safety, quality standards, environmental impact, and data privacy. These technologies enable end-users to effectively comply with these regulations by providing real-time monitoring, traceability, and quality control mechanisms. The end-use compliance issues are categorized into process and product compliance. Industry 4.0 practices are ideal for companies aiming to achieve time and quality metrics at reduced costs. Digitization of production aids in numerous tasks, such as engineering changes, risk assessment, process improvement, improving process visibility, and providing data on demand. Therefore, the need for compliance to gain a competitive edge is expected to act as a significant growth driver for the market.
The adoption of IIoT technologies is a significant opportunity in the market. By connecting industrial equipment, sensors, and devices, companies can gather real-time data and enable machine-to-machine communication. This data can be used to optimize production processes, reduce downtime, and improve overall operational efficiency. As the systems become more connected, ensuring the security of industrial networks and data becomes crucial. The increasing complexity of the industrial ecosystem creates opportunities for cybersecurity solutions and services. Companies can develop robust cybersecurity frameworks, implement secure communication protocols, and offer solutions to protect against cyber threats, thereby addressing the growing demand for secure systems.
The combination of robotics & automation with the IoT results in IoT-enabled robotics, enabling remote monitoring and predictive maintenance, driving efficiency through data-driven insights. Innovations in fleet management and robot swarms are shaping industries, such as logistics and warehousing, by orchestrating coordinated robot actions. Simultaneous localization and mapping (SLAM) technology empowers robots to navigate complex environments autonomously, underpinning applications like autonomous vehicles and drones. Wearable robotics boost human capabilities, particularly in sectors where physical assistance is pivotal, like healthcare and manufacturing. Leveraging digital twins for robot design and optimization expedites development while refining performance.
Enhanced human-robot interaction and user interfaces underscore the seamless integration of robots into various industries. These concepts work together to illustrate the development of industrial robots and automation, revolutionizing manufacturing efficiency, enhancing human skills, and spurring innovation across industries. The market landscape is significantly influenced by AI and ML technology trends. Within this trend, several key developments stand out. Predictive analytics and maintenance leverage AI and ML to foresee and prevent equipment breakdowns, optimizing maintenance schedules. Anomaly detection and quality control utilize these technologies to identify irregularities in manufacturing, ensuring product excellence swiftly. In addition, supply chain and inventory optimization benefit from AI-driven algorithms that enhance efficiency by refining inventory management and logistics.
In August 2023, Telefonaktiebolaget LM Ericsson and RMIT University collaborated to establish the RMIT & Ericsson AI Lab at RMIT's Hanoi campus in Vietnam. This initiative builds upon their existing 5G education partnership, to educate Vietnamese students about 5G and emerging technologies including AI, machine learning, and blockchain. The use of artificial intelligence in Industry 4.0 projects is becoming increasingly prevalent in Vietnam. The deployment of 5G, Ericsson, and RMIT are now able to assist business, academic, and neighborhood partners in developing and implementing AI solutions that will help drive the adoption of Industry 4.0 across a range of sectors. This will benefit industries, such as energy, manufacturing, agriculture, transport, and logistics.
Industry 4.0 Market Segmentation
Grand View Research has segmented the Industry 4.0 market report based on component, technology, Industry vertical, and region:
Component Outlook (Revenue, USD Billion, 2018 - 2030)
• Hardware
• Software
• Services
Technology Outlook (Revenue, USD Billion, 2018 - 2030)
• Industrial Internet of Things (IIoT)
• Robotics & Automation
• Artificial Intelligence & Machine Learning (AI & ML)
• Big Data & Advanced Analytics
• Additive Manufacturing
• Augmented Reality & Virtual Reality (AR & VR)
• Digital Twin & Simulation
• Blockchain & Secure Data Exchange
• Others
Industry Vertical Outlook (Revenue, USD Billion, 2018 - 2030)
• Manufacturing
• Petrochemicals
• Automotive
• Energy & Utilities
• Oil & Gas
• Food & Beverage
• Aerospace & Defense
• Others
Regional Outlook (Revenue, USD Billion, 2018 - 2030)
• North America
o U.S.
o Canada
• Europe
o Germany
o UK
o France
o Italy
o Spain
• Asia Pacific
o China
o Japan
o India
o South Korea
• Latin America
o Brazil
o Mexico
• Middle East and Africa
o UAE
o Saudi Arabia
Browse through Grand View Research's Next Generation Technologies Industry Research Reports.
• The global AI in aerospace and defense market size was valued at USD 22.45 billion in 2023 and is projected to grow at a CAGR of 9.8% from 2024 to 2030.
• The global aviation software market size was estimated at USD 10.68 billion in 2023 and is expected to grow at a CAGR of 7.2% from 2024 to 2030.  
Key Companies & Market Share Insights
The key players in the market often include technology innovators, solution providers, and research institutions. These players contribute to the development of advanced manufacturing, automation, IoT, AI, and data analytics solutions. Their efforts drive the transformation of industries through digitization and smart technologies, impacting supply chains, production processes, and customer experiences. They also encompass software developers, hardware manufacturers, etc. as these entities collaborate to create integrated solutions that optimize production efficiency, enhance predictive maintenance capabilities, enable real-time monitoring, etc.
In addition, regulatory bodies and standardization organizations play a crucial role in shaping the framework and guidelines for the ecosystem. For instance, In August 2023, Denso Corporation acquired a full stake in Certhon Group, a horticultural facility operator. The aim of this acquisition is to further accelerate their efforts to solve global food challenges by leveraging the strengths of both companies and the results of their past collaboration. Some prominent players in the global Industry 4.0 market include:
• ABB LTD.
• Cisco Systems Inc.
• Cognex Corporation
• Denso Corporation
• Emerson Electric
• Fanuc Corporation
• General Electric Company
• Honeywell International Inc.
• Intel Corporation
• Johnson Controls International
• Kuka Group
• Robert Bosch GmbH
• Rockwell Automation Inc.
• Schneider Electric SE
• Siemens AG
Order a free sample PDF of the Industry 4.0 Market Intelligence Study, published by Grand View Research.
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Evolving Dynamics: The Latest Trends Shaping Warehousing and Inventory Management
Originally published by Quantzig: Top Industrial Trends in Warehousing and Inventory Management
Introduction:
Witness the transformative impact of modern technology on the warehouse and inventory management sector. This article explores how cutting-edge innovations such as Artificial Intelligence (AI), robotics, the Internet of Things (IoT), and data analytics are reshaping traditional warehouse operations. Dive into the revolutionary trends that are driving efficiency, flexibility, and agility in supply chain management.
Key Trends in Warehouse and Inventory Management:
Explore the influence of AI, robotics, IoT, and data analytics on warehouse operations. Discover how automation, predictive analytics, and cloud-based technologies are enhancing real-time management and monitoring across multiple locations. This section sheds light on the importance of staying abreast of these trends to navigate the evolving industrial landscape successfully.
Importance of Trends:
Delve into the significance of real-time warehouse data, conversational AI in analytics, and Custom Digital Twin solutions. Understand how these technologies contribute to instant supply adjustments, faster decision-making, and proactive scenario planning. Learn how staying ahead of these trends can lead to increased operational efficiency, reduced costs, and improved overall inventory management flexibility.
Challenges Faced:
Uncover the challenges that companies encounter in adapting legacy systems, handling data overload, and managing the implementation learning curve. From slow inventory management due to outdated systems to the complexities of analyzing large datasets, this section explores the hurdles faced by businesses striving to keep pace with technological advancements.
Benefits of Advanced Technologies:
Discover the tangible benefits of adopting cutting-edge technologies in warehousing and inventory management. From enhanced operational efficiency and improved inventory accuracy to agile decision-making and elevated customer satisfaction, understand how AI-powered solutions and data access revolutionize day-to-day operations.
Conclusion:
Reflect on the profound changes witnessed in warehouse and inventory management due to advancements in technology. Acknowledge how AI, data analytics, and easy data access have made operations more efficient, responsive, and cost-effective. Embrace these advanced strategies to stay competitive, meet customer needs, and enhance overall warehouse management and customer satisfaction.
Success Story: Transforming Inventory Management for a Leading European Company
Challenges Faced by the Client:
Learn about the challenges faced by a prominent European company in effectively utilizing a Supply Chain Planning tool. From labor-intensive processes to time-consuming data analysis, the client struggled with inefficiencies that led to delays and potential inaccuracies in inventory management.
Solutions Offered by Quantzig:
Explore how Quantzig provided AI-powered planning and inventory solutions to streamline forecasting and adjust inventory levels promptly. The adoption of an Interactive Q&A based reporting system and simulation-based scenario planning empowered the client to make quicker, more informed decisions. Quantzig's solutions addressed the complexities of data analysis and long-term planning.
Impact Delivered:
Uncover the remarkable impact of Quantzig's solutions, including a 5x faster decision-making process, a 60% reduction in time for deriving insights from KPIs, and a threefold increase in the consumption of analytics solutions. Understand how Microsoft Power Platform and Azure Data Factory played a crucial role in achieving these transformative outcomes.
Embrace the success of this European company as a testament to the potential of advanced technologies in revolutionizing inventory management and driving operational efficiency.
Connect with us for tailor-made solutions
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lanettcdmo · 10 months
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The Impact of Digitalization on Pharmaceutical Supply Chain
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 In an era of rapid technological advancement, the pharmaceutical industry is undergoing a transformative journey with the integration of digitalization into its supply chain. This paradigm shift is not merely about adopting new technologies but about redefining the entire approach to the manufacturing, distribution, and management of pharmaceutical products. In this blog post, we will delve into the profound impact of digitalization on the pharmaceutical supply chain.
1. Enhanced Visibility and Traceability
Digitalization brings forth a new level of transparency to the pharmaceutical supply chain. Through technologies like blockchain and Internet of Things (IoT), stakeholders can now have real-time visibility into every step of the supply chain. From the manufacturing facility to distribution centers and finally to the end-users, each transaction is recorded on an immutable blockchain, ensuring traceability and accountability. This not only aids in meeting stringent regulatory requirements but also helps in the rapid identification and isolation of any defective or counterfeit products.
2. Smart Warehousing and Inventory Management
Traditional inventory management systems are giving way to smart, data-driven solutions in the digital age. IoT sensors and RFID (Radio-Frequency Identification) tags enable pharmaceutical companies to monitor the condition and location of products within warehouses in real-time. This leads to optimized inventory levels, reduced instances of stockouts or overstocking, and improved overall efficiency. Moreover, predictive analytics can forecast demand patterns, allowing for proactive inventory management and minimizing the risk of disruptions.
3. Agile Manufacturing with Industry 4.0
The concept of Industry 4.0, characterized by the integration of cyber-physical systems, the Internet of Things, cloud computing, and cognitive computing, is reshaping pharmaceutical manufacturing. Digital twins, which are virtual replicas of physical manufacturing processes, enable companies to simulate and optimize production operations. This results in increased efficiency, reduced downtime, and the ability to respond swiftly to changing market demands. With connected machines and automated processes, pharmaceutical manufacturers can achieve a higher level of agility and flexibility in their production lines.
4. Data-Driven Decision-Making
Data is the new currency, and the pharmaceutical supply chain is no exception to this reality. The digitalization of the supply chain generates vast amounts of data that can be harnessed for informed decision-making. Advanced analytics and machine learning algorithms can analyze this data to derive actionable insights. From demand forecasting to route optimization for distribution, pharmaceutical companies can make strategic decisions backed by data-driven intelligence. This not only enhances operational efficiency but also contributes to cost savings and better resource allocation.
5. Remote Monitoring for Quality Control
Ensuring the quality of pharmaceutical products is paramount. Digitalization facilitates remote monitoring of critical parameters during manufacturing and transportation. IoT sensors can continuously monitor temperature, humidity, and other environmental conditions, ensuring that pharmaceuticals are stored and transported within specified parameters. Any deviations trigger immediate alerts, allowing for rapid corrective actions. This level of control is particularly crucial for biologics and other temperature-sensitive products, reducing the risk of spoilage and ensuring product efficacy.
6. Streamlining Regulatory Compliance
The pharmaceutical industry operates in a highly regulated environment, with strict compliance requirements. Digitalization plays a pivotal role in automating compliance processes, reducing manual errors, and ensuring adherence to regulatory standards. With electronic batch records and automated documentation, pharmaceutical companies can streamline the validation of manufacturing processes, making audits more efficient and less resource-intensive.
Conclusion
The digitalization of the pharmaceutical supply chain is not just a technological upgrade; it is a strategic imperative for the industry's future. From ensuring product quality and safety to optimizing operational efficiency and responding to market dynamics, digitalization has far-reaching implications. Pharmaceutical companies that embrace and invest in these digital technologies are not only future-proofing their operations but also contributing to a more agile, transparent, and resilient supply chain ecosystem. As the industry continues to evolve, the integration of digitalization will be a defining factor in shaping the success of pharmaceutical supply chain management.
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praveen-12 · 1 year
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Logistics Trends 2023
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Introduction
As we step into 2023, the logistics industry is undergoing rapid transformation, driven by technological advancements, global events, and changing consumer expectations. Staying up-to-date with the latest trends is crucial for logistics companies to remain competitive and adapt to the evolving landscape. In this SEO blog post, we'll explore the top logistics trends in 2023 that are shaping the industry.
1. Blockchain Revolutionizing Supply Chain Transparency
Blockchain technology continues to gain momentum in the logistics sector. It provides a secure and transparent way to record transactions and track goods throughout the supply chain. In 2023, expect to see increased adoption of blockchain for enhanced traceability, reduced fraud, and improved trust among stakeholders.
2. Artificial Intelligence (AI) for Enhanced Decision-Making
AI-driven solutions are transforming logistics operations. AI algorithms analyze vast amounts of data to optimize routes, predict demand, and manage inventory more efficiently. These advancements lead to cost reductions, faster deliveries, and improved customer satisfaction.
3. Eco-Friendly Initiatives and Sustainability
Sustainability is no longer just a buzzword; it's a core concern for logistics. With growing environmental awareness, logistics companies are implementing green practices. This includes electric and hybrid delivery vehicles, carbon footprint reduction, and eco-friendly packaging solutions.
4. Last-Mile Delivery Innovations
The last mile of delivery remains a challenge for logistics providers. In 2023, we can expect more innovative solutions such as drones, autonomous vehicles, and crowd-sourced delivery options to optimize last-mile logistics and meet consumer demands for faster deliveries.
5. Supply Chain Resilience and Risk Management
Recent global disruptions have highlighted the importance of supply chain resilience. Logistics companies are investing in risk management strategies, diversifying supplier networks, and developing robust contingency plans to mitigate unforeseen disruptions.
6. Data-Driven Insights for Strategic Planning
Data analytics tools are becoming indispensable for logistics firms. By harnessing the power of big data, logistics companies gain insights into customer behaviors, market trends, and operational efficiency, enabling them to make informed decisions and drive growth.
7. Digital Twins for Warehouse Optimization
Digital twins, or virtual replicas of physical warehouses, are gaining traction. These 3D models allow logistics companies to optimize warehouse layouts, predict storage requirements, and improve overall operational efficiency.
8. Augmented Reality (AR) for Training and Maintenance
AR technology is being used in logistics for employee training and equipment maintenance. It provides hands-free guidance to warehouse staff and allows technicians to perform remote equipment diagnostics, reducing downtime.
9. Global Trade and E-commerce Growth
The global e-commerce boom shows no signs of slowing down. Logistics companies are adapting to handle increased international shipping demands, customs clearance challenges, and cross-border regulations to capitalize on this growth.
10. Collaborative Robotics (Cobots) in Warehousing
Collaborative robots, or cobots, are working alongside human warehouse workers. They assist with tasks like picking, packing, and sorting, improving efficiency and reducing the physical strain on employees.
Conclusion
The logistics industry is in a state of constant evolution, and 2023 promises to be a year of significant change. Embracing these logistics trends is essential for companies looking to thrive in this competitive landscape. By leveraging technology, prioritizing sustainability, and focusing on resilience and customer satisfaction, logistics providers can navigate the challenges and opportunities that lie ahead. Stay informed, adapt, and be ready to seize the advantages that these trends offer in the ever-evolving logistics world.
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inspector-gadgets · 1 year
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Edge Computing
Edge Computing
Edge Technology aims at making the Internet Of Things (IoT) with 100 thousand sensors in the next decade, with the increased usage and manipulation of large data it becomes important to get used to this technology which refers to computing on the sensor itself. 2019 is predicted as the year of edge technology and will remain so in the coming years. In a variety of situations, edge computing is deployed. One is when IoT devices are centrally connected to the cloud due to poor connectivity of devices. By the year 2020, there will be approximately 1.5 GB worth of data is generated per day. With many devices connected to the internet and generating data, the cloud alone can't handle this huge data all by itself.
Edge can relate to the data processing as well as the local processing of real-time data. The various edge components that can be counted upon are Data processing, Rule Engine, and Local Database. Cloud is more concerned with big data processing and data warehousing.
Why Edge Computing?
This technology increases the efficient usage of bandwidth by analyzing the data at the edges itself, unlike the cloud which requires the transfer of data from the IOT requiring large bandwidth, making it useful to be used in remote locations with minimum cost.
It allows smart applications and devices to respond to data almost at the same time which is important in terms of business ad self-driving cars.
It can process data without even putting it on a public cloud, this ensures full security.
Data might get corrupt while on an extended network thus affecting the data reliability for the industries to use.
Edge computation of data provides a limitation to the use of the cloud. 
Edge vs Fog Computing:
 Edge is more specific toward computational processes for edge devices. So, fog includes edge computing, but would also include the network for the processed data to its final destination. 
Real-Life Application Of Edge Technology:
Autonomous Vehicles – GE Digital partner, Intel, estimates that autonomous cars, with hundreds of on-vehicle sensors, will generate 40 TB of data for every eight hours of driving. Therefore, wheels—edge computing plays a dominant role. Sending all the data to the cloud is unsafe and impractical. The car immediately responds to the events which has valuable data when coupled into a digital twin and the performance of other cars of its class.
Fleet Management – Let’s example considering a trucking company, the main goal is to combine and send data from multiple operational data points like wheels, brakes, batteries, etc to the cloud. Health key operational components are analyzed by the cloud. Thus, essentially a fleet management solution encourages the vehicle to lower the cost.
5 Key Benefits Of Edge Computing:
Faster response time.
Security and Compliance.
Cost-effective Solution.
Reliable Operation With Intermittent Connectivity.
Reduced latency
Complexity: Setting up and maintaining edge computing systems can be challenging, especially if there are many devices or a vast geographic region involved.
Limited resources: Edge devices frequently have constrained processing, storage, and bandwidth, which can restrict their capacity to carry out specific activities.
Dependence on connectivity: For edge computing to work correctly, connectivity is required. If the connection is lost, the system may not be able to work.
Security Concern: Edge devices may be susceptible to security risks such as malware, hacking, and physical interference.
IOT (Internet Of Things)
Gaming
Health Care
Smart City
Intelligent Transportation
Enterprise Se
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arvistai · 1 year
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Warehouse of the Future: Harnessing Digital Twins for Efficiency
Introduction:
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In today's fast-paced business environment, optimizing warehouse productivity is crucial for any company's success. The advent of advanced technologies has paved the way for innovative solutions, and one such groundbreaking tool is the concept of "Digital Twins." In this blog post, we will explore how Arvist, a leading technology company, is revolutionizing the warehouse industry by leveraging Digital Twins to enhance efficiency and streamline operations. We will delve into the concept of Digital Twins, the benefits they offer for warehouse productivity improvement, and the cutting-edge Warehouse Productivity Software developed by Arvist.
Understanding Digital Twins:
Digital Twins represent a digital replica of physical assets, processes, or systems. These virtual counterparts allow real-time monitoring, analysis, and simulation of their physical counterparts, enabling businesses to gain valuable insights and optimize their operations. In the context of warehouses, Digital Twins recreate the entire facility, offering a detailed and interactive view of the logistics processes.
Revolutionizing Warehouse Productivity Improvement:
Arvist has recognized the potential of Digital Twins to revolutionize the warehouse industry. By deploying Digital Twins, businesses can identify inefficiencies, predict bottlenecks, and optimize workflows without disrupting day-to-day operations. This section will discuss the significant impact of Digital Twins on warehouse productivity and how they can lead to cost savings and operational excellence.
The Benefits of Digital Twins for Warehouses:
1. Real-Time Monitoring and Analytics: 
Digital Twins enable continuous monitoring and analysis of warehouse operations, facilitating data-driven decision-making to improve productivity and reduce downtime.
2. Predictive Maintenance: 
With the ability to predict equipment failures and maintenance needs, businesses can avoid costly breakdowns and ensure uninterrupted operations.
3. Layout Optimization: 
Digital Twins allow experimenting with various warehouse layouts virtually, resulting in more efficient storage and picking processes.
4.Resource Management: 
By simulating different scenarios, businesses can optimize workforce allocation and equipment utilization, leading to enhanced overall efficiency.
5. Arvist's Warehouse Productivity Software:
Arvist has developed state-of-the-art Warehouse Productivity Software that seamlessly integrates Digital Twins into warehouse management systems. This software provides an intuitive user interface, powerful analytics, and actionable insights to streamline operations and maximize productivity. In this section, we will explore the key features and functionalities of Arvist's innovative software.
6. Success Stories and Case Studies:
To showcase the effectiveness of Digital Twins and Arvist's Warehouse Productivity Software, we will present real-world success stories and case studies. These examples will highlight how companies across different industries have experienced remarkable improvements in warehouse efficiency and overall performance.
Conclusion:
The future of warehousing lies in embracing cutting-edge technologies, and Digital Twins stand at the forefront of this revolution. Arvist's Warehouse Productivity Software, powered by Digital Twins, offers an unparalleled opportunity for businesses to transform their operations, achieve remarkable productivity gains, and maintain a competitive edge in the market. By harnessing the potential of Digital Twins, companies can unlock a new era of efficiency and success in their warehouse operations. For more details you can call us +1773-609-2227 and mail us [email protected]
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Sage X3 Industries Manufacturing & Sage Wholesale Distribution
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Inventory Control Sage X3 ERP Inventory ensures optimum coherence and real-time monitoring of stock standing data. Inventory management is absolutely user-definable on every site by making use of multisite, multi-warehouse, and multi-location administration. The module additionally incorporates some powerful quality control functions, offering whole sage x3 distribution erp solutions traceability of stock quantities in real-time, each upstream and downstream, by material move management. Our software is configurable to company requirements, consumer roles, and preferences. Visual processes, automated workflows and alerts, document administration, and communication instruments are options obtainable in the system.
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Sage X3 Manufacturing is the preferred native Sage X3 Module not included with the base version of Sage X3. The module makes managing the manufacturing course of less complicated by allowing the consumer to filter by job, order, inventory, and extra. Sage ERP X3 allows constant monitoring of stock, production scheduling, planning capabilities, and total administration; which are all defined by price lists, cost facilities, and stations. It lets person combine their enterprise processes into one widespread system, accessed via a easy person interface. User could have a complete view of their enterprise and customers in real time, to enable them to reply quickly to occasions and make selections based mostly on exhausting facts.
Sage X3 distribution application integrates fully with gross sales, inventory, purchasing, CRM, and accounting functions for full control and tracking of business-wide actions. Download the report to seek out out more about how organizations of all sizes in various industries are cutting prices, improving  productiveness and getting a constructive ROI with fleet management software. With these features, you can react quickly and optimally to unforeseen circumstances.
reports and alerts. Given the focus in Sage’s method to their audience, they have confirmed to be a dependable solution for many shoppers that opt-in for their software solutions. For that reason, Sage X3 landed on the list of Top 10 ERP Solutions for 2020. We look ahead to seeing how they continue to develop and increase their capabilities whereas preserving their industry-specific focus.
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Robotic Help Units, Inc. (RAD), Secures Order Totaling 13 Units from Single Shopper at One Location Detroit, Michigan, April 18, 2023 (GLOBE NEWSWIRE) -- Synthetic Intelligence Expertise Options, Inc., (the “Firm”) (OTCPK:AITX), a world chief in AI-driven safety and productiveness options together with its wholly owned subsidiary, Robotic Help Units, Inc. (RAD), as we speak introduced that it has obtained an order for 11 ROSA safety robots and a pair of AVA entry management options. The order was facilitated by one in every of RAD’s largest nationwide licensed sellers. The top-user consumer is a Fortune 250-ranked provider of technology-driven options that empower the worldwide vitality trade. All 13 gadgets are to be deployed at one of many consumer’s massive warehousing facilities, tasked with the detection and deterrence of trespassing, loitering and different safety breaches. One of many two AVA models will exchange a safety guard at a safe entrance gate and the whole system has the equal worth in human labor within the vary of $400,000 to $600,000 yearly. The remaining AVA unit will complement the duties of a safety guard at one other gated entrance to the ability. The corporate introduced that it expects the total 13-unit order to be delivered to the venture web site by the top of April 2023 and famous that it continued to make important progress satisfying backlogged orders. It’s anticipated that RAD will start invoicing this deployment in Might or June. “Our progress with this explicit nationwide supplier has been substantial and barely unlocks the potential we now have collectively,” stated Mark Folmer, CPP, FSyI, President of RAD. “We’re very grateful for the robust nationwide illustration and excited at nation-wide roll out plans which can be nearing completion.” “Enterprise organizations see quick and substantial impression once they combine RAD’s options into their facility and safety plans,” stated Steve Reinharz, CEO of AITX and RAD. “As the marketplace for safety guard labor continues to tighten, I count on we’ll see acceleration of RAD options.” The Firm expects to make extra bulletins concerning its licensed sellers’ actions and additional gross sales updates. ROSA is a a number of award-winning, compact, self-contained, moveable, safety and communication resolution that may be deployed in about quarter-hour. Like different RAD options, it solely requires energy because it consists of all obligatory communications hardware. ROSA’s AI-driven safety analytics embrace human, firearm, automobile detection, license plate recognition, responsive digital signage and audio messaging, and full integration with RAD’s software program suite notification and autonomous response library. Two-way communication is optimized for mobile, together with dwell video from ROSA’s twin high-resolution, full-color, always-on cameras. RAD has printed three Case Research detailing how ROSA has helped eradicate cases of theft, trespassing and loitering at automobile rental places and development websites throughout the nation. AVA (Autonomous Verified Entry) is a compact and stanchion mountable unit that gives an edge-to-edge 180° sight view with superior entry management over gates and different managed factors of entry. AVA takes full benefit of the RAD Software program Suite offering a great resolution for gated communities, logistics and distribution facilities, storage yards, parking constructions and much, company campuses; wherever that elevated safety and visibility is required at a fraction of the associated fee. At ISC West 2022, AVA was named a winner of the SIA New Merchandise and Options Awards within the class of Entry Management Software program, Hardware, Units and Peripherals. AITX, via its subsidiary, Robotic Help Units, Inc. (RAD),
is redefining the $25 billion (US) safety and guarding providers trade via its broad lineup of modern, AI-driven Options-as-a-Service enterprise mannequin. RAD options are particularly designed to supply price financial savings to companies of between 35%-80% when in comparison with the trade’s present and dear manned safety guarding and monitoring mannequin. RAD delivers this large price financial savings by way of a collection of stationary and cell robotic options that complement, and at occasions, immediately exchange the necessity for human personnel in environments higher fitted to machines. All RAD applied sciences, AI-based analytics and software program platforms are developed in-house.  RAD has a potential gross sales pipeline of over 35 Fortune 500 firms and quite a few different consumer alternatives. RAD expects to proceed to draw new enterprise because it converts its present gross sales alternatives into deployed shoppers producing a recurring income stream. Every Fortune 500 consumer has the potential of creating quite a few reorders over time. CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTSThe data contained on this publication doesn't represent a proposal to promote or solicit a proposal to purchase securities of Synthetic Intelligence Expertise Options, Inc. (the "Firm"). This publication comprises forward-looking statements, which aren't ensures of future efficiency and will contain subjective judgment and evaluation. The data offered herein is believed to be correct and dependable, nonetheless the Firm makes no representations or warranties, expressed or implied, as to its accuracy or completeness. The Firm has no obligation to supply the recipient with extra up to date info. No info on this publication must be interpreted as any indication in any respect of the Firm's future revenues, outcomes of operations, or inventory value. About Synthetic Intelligence Expertise Options (AITX)AITX is an innovator within the supply of artificial intelligence-based options that empower organizations to realize new perception, clear up advanced challenges and gas new business ideas. Via its next-generation robotic product choices, AITX’s RAD, RAD-M and RAD-G firms assist organizations streamline operations, enhance ROI, and strengthen enterprise. AITX technology improves the simplicity and economics of patrolling and guard providers and permits skilled personnel to give attention to extra strategic duties. Prospects increase the capabilities of present employees and acquire increased ranges of situational consciousness, all at drastically lowered price. AITX options are nicely fitted to use in a number of industries resembling enterprises, authorities, transportation, crucial infrastructure, schooling, and healthcare. To be taught extra, go to www.aitx.ai, www.stevereinharz.com, www.radsecurity.com, www.radgroup.ai, and www.radlightmyway.com, or comply with Steve Reinharz on Twitter @SteveReinharz. ### Steve Reinharz949-636-7060@SteveReinharz https://guesthype.co.uk/?p=3398&feed_id=5728&cld=643ea4bca49a8
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logistiservices · 2 years
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How Do Logistics Technology Platforms Help in Transforming Your Business Process?
Logistics Technology Platform are one of the biggest boons of the 21st century. Systems that had to be run manually before can be easily automated with optimized input and increased output with the latest technological tools available and this is especially applicable to retail supply chains. With the latest logistics management software systems and technologies, you can transform your business operations into a digitized format. With Blockchain, Digital Twin, and artificial intelligence, logistics management service providers can not only analyze the available data to predict future market trends and manage business operations effectively but can also attract new customers and increase profits. If you are wondering how logistics and retail supply chain agencies can help transform your current business model, read on to find out. 
Digital Twin: Digital Twin is a tool that the leading logistics management agencies use to draw up virtual models of a complex network of warehouses, routes, different logistical units, and the available resources to give their clients an insight into the practicality of their current organizational operations. You can also use Digital Twin to understand the limitations and the constraints and come up with a more efficient retail supply chain to help your company as well as your core customers.
Blockchains: Blockchain is a pretty well-known term in the logistics management sector and has been an important factor behind the success of leading names spread across several different industries. With the help of a Blockchain, you can easily amalgamate a wide network warehousing unit, shipping methods, routes, modes of transportation, and other logistical aspects of the retail supply chain on one simple platform for the optimization and efficiency of your commercial venture. 
Artificial Intelligence: AI or Artificial Intelligence plays a key role in integrating the different logistical systems onto a single logistics technology platform and helps in automating manual systems. AI reduces the risk of human error, ensures an enhanced efficiency of the business structure, and is the ultimate solution to all customer-related issues.
For the original post: https://logistic-consulting-services.blogspot.com/2022/11/how-do-logistics-technology-platforms.html
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territiny · 2 years
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Lights out manufacturing
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Segregated to integrated (e.g., integrated data platforms).Disassociated to connected (e.g., connectivity and network hosts).Packaged to on-demand (e.g., shared manufacturing).Transactional to Subscription-based (e.g., robotics-as-a-service).The study also explores future manufacturing tenets driving key shifts in business models: The study covers market potential, key drivers, patent landscape, regional insights, and growth opportunities for each of these technologies. These include the internet of things (IoT), robotics, generative design, 3D printing, artificial intelligence, cybersecurity, digital twins, 5G, and cloud computing. Automotive, general manufacturing, electronics and electrical components, and logistics and warehousing are four major industries expected to make rapid advancements toward a fully automated ‘lights out’ environment in the short term.This study explores the top nine technologies companies must consider switching to a lights-out manufacturing environment. While some industries may find the lights-out scenario attractive, operational complexity could hold them back. Only a handful of companies currently operate in a lights-out environment others are expected to gradually ‘phase into’ a fully automated manufacturing process over the long term. Switching to a lights-out manufacturing process can potentially save up to 20% of labor costs and bring about a 30% increase in productivity output. The future lights-out production space will also drive new opportunities in condition monitoring and predictive maintenance of automated assets. Although manufacturing ‘lights out’ is not intended to eliminate human labor, it will create the opportunity for a skilled workforce to add value to tasks that require complex problem-solving capability, creativity, and ingenuity. In a lights-out environment, the manufacturing process is fully automated, with minimal human intervention required to run day-to-day operations. This is expected to accelerate the transition to fully automated lights-out manufacturing processes. In an effort to become more resilient and shock-proof, manufacturers, especially in the West, are compelled to use digital processes to reconfigure their supply chains and move their production lines closer to the point of consumption. New York, J(GLOBE NEWSWIRE) - announces the release of the report "Transformative Mega Trends Enabling Lights Out Manufacturing".
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edisterablog · 2 years
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How Technology Is Changing the Distribution Industry
Technology advancements and their integration have significantly changed the game around the distribution industry. The introduction of technical systems and software enhances product distribution models and order fulfillment. By speeding up all procedures, technology improves efficiency and workflow.
It is changing the ways of communication and travel by bringing up the worldwide distribution industries closer. Technology is creating a new path in managing warehousing, distribution, and other business logistics. It is helping in extending the business in terms of product size and customers worldwide. 
Six Ways Technology Changes the Distribution Industry
Enhanced Distribution 
Technology has aided in a fast, accurate, and cost-effective distribution process. Product distribution traffic managers can optimize distribution by analyzing software. With the help of specialized shipment analysis software, trucks can be loaded according to the quickest route when multiple deliveries occur.
Warehouse Workflow Optimization
Technology has efficiently used spaces and produced great results from small warehouses. A centralized computer network can be used to improve efficiency and reduce errors by integrating conveyors, rails, and elevators. It helps find the most cost-effective ways to receive orders, collect the items, and ship them, along with providing optimal customer service. 
Traffic Management, Loading, and Delivery
Traffic management includes GPS tracking and fleet management software to optimize vehicle status, traffic status, and driver performance. Trucks are loaded according to the most efficient routing with increased streamlining and the wringing of costs. Customers' trust can be gained by efficient traffic management and delivery as they are very accurate and help them know the exact status in real time.
Product Demand
Supply chains can process and systemize order placement functions with minimal human intervention. Immediate information regarding inventory levels and product demand allows accurate projections about order volumes. This, in turn, helps improve flexibility, timeliness, and a substantial reduction in inventory according to the foreseeable demands. Distributors may transmit their list draw down to their suppliers in real-time to plan production times and quantities.
Improving Flexibility and Balance 
Technology has improved flexibility with product demand and inventory levels. It has reduced human intervention, and supply chains use distribution networks to anticipate demand and order volumes. Distributors make decisions by predicting timing and quantity; thereby, they can increase productivity while reducing costs.
Information Flow Integration
From the moment of receiving orders to the delivery of products, information is seamlessly integrated with all departments. Some programs can now convert sales into orders automatically in real-time. Modern equipment and technology almost fully automate the product distribution process, with human labor, and management supporting the operation.
Trending Technologies That Are  Changing the Distribution Industry 
 Artificial Intelligence
Artificial intelligence (AI) is the technology that trains a computer to do things that humans cannot. The rise of AI in the supply chain and distribution has led to the growth of cross-sector distribution. As a result of higher transaction volumes combined with superior artificial intelligence and machine learning, the rate of change has accelerated.
New-age AI technologies, such as digital twin supply chain simulations, and IIoT (Industrial Internet of Things), are arising that can replace many technical works.
Digital Assistants
Digital assistants have a significant impact on enhancing the trust of customers. Through uninterrupted and immediate replies to the queries, customers can know the right information, clear their doubts and get guidance with the necessary steps. It aids a smoother and less disruptive way of communicating and is an efficient way to retain existing ones and welcome new customers.
Online Bots
Bots are simply software applications that run automated tasks faster than humans through the internet. Bots help in reducing employees' workloads by providing information to clients online. They are an excellent way to reach new customers.
Bots with multiple totes or slots receive numerous orders in parallel. Bots move the orders around the picking area, stopping at designated locations required to fill the order. Increasing productivity reduces costs associated with hiring, training, and retaining workers.
Machine Learning
Machine learning uses data to determine future outcomes, trends, and behaviors. It finds out the patterns in existing data to seek future data. It helps determine pricing on various apps based on price elasticity, historic sales, promotions, lost sales, and sales forecasting by considering traffic and discounts.
Cloud
The cloud introduces more technologies to move us throughout our lives, as it has become common in our smartphones. It is software and services run on the internet instead of a local server or desktop. It drives speed, agility, size, and visibility and allows the apps to work from anywhere.
Cloud can help reduce latency, lower or eliminate network congestion, and guarantee the quality of service (QoS) for mission-critical applications and mobile users. Also, It reduces the time and cost of developing and deploying new applications.
Technology will continue to advance with updated software to enhance speed, accuracy, and revenue. Human intervention would decrease, streamlining would increase, and supply change would continue to reduce costs. Many more potentials of technology are yet to be explored, which can take the current distribution ways to the next level.  With the use of cutting-edge technologies, we at Edistera have been assisting distributors, producers, and brands to boost their sales and revenue. You can expand your wholesale business with better engagement and transparency. If you are interested, feel free to reach out to us.
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lifecarelogistic · 2 years
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Important Trends in Logistics Which are Need To Be Consider
Introduction:
As a result of a slew of new technologies hitting the market, the logistics business is undergoing a shift. All of these logistical changes are altering how businesses engage with their products, suppliers, consumers, and partners.
The 3PL Logistics Provider business has been in the process of early-stage digitalization for the past two decades. Many businesses are abandoning paper and spreadsheet-based management systems in favour of newer technology such as mobility and the cloud.
We are already seeing huge changes in the logistics sector in 2021, as new technology continues to become commonplace. These changes are continuing to impact the way we do business, and we expect digital technologies to fill in the gaps that logistics firms are missing in the long run.
The Logistics Industry is Being Modernized:
This isn't to imply that the logistics industry as a whole is up to speed far from it. According to recent research by Life Care Logistic, businesses like media, finance, retail, and even telco are far more advanced than logistics at this moment.
When you add it all up, you have a rising digital divide. Technologically advanced companies are pushing forward with new technologies, greatly outperforming their non-digital counterparts.
3PL Logistics Trends to Watch in 2022:
Here's a rundown of some of the most important logistics trends to be aware of in 2022.
1. Everything is Software-Defined:
Connectivity is essential for success, especially for supply chain providers that are using cloud and IoT solutions. However, establishing and maintaining connectivity might be tricky. It's significantly more difficult for huge, multi-location enterprises or businesses to enter new markets.
Due to bandwidth limits, logistics companies have traditionally relied on multi-protocol packet label switching (MPLS) communication, which is costly, inflexible, and slow. Now, we're seeing a growing shift to "software-defined" technologies like software-defined interconnection (SDI) and software-defined wide-area networking (SD-WAN), which allow businesses to connect cloud locations to data centers and deploy virtual networks without having to invest in the underlying hardware.
2. Artificial Intelligence (AI): 
AI entails teaching machines how to complete tasks and think like people. In the logistics industry, the technology is now being used for a variety of purposes, including predicting weather forecasts and market conditions, sourcing materials, and improving the speed and accuracy of backend processes, among others.
The use of AI in warehousing and logistics services is not new; it has been a significant element of the supply chain logistics business since the introduction of route planning, demand planning, and warehouse picking systems. From group freight firms to suppliers, the deployment of robotics and other intelligent technologies is expected to benefit everyone.
3. Information and Event Management for Security (SIEM):
Logistics companies are a prominent target for cybercriminals because they handle massive amounts of data and frequently lack contemporary and comprehensive security measures. It's no secret that businesses frequently keep large amounts of data on spreadsheets and insecure, out-of-date portals, making them an attractive target for hackers.
4. Shipping Refrigerated:
Customers have the capacity and desire to order perishable, non-local food thanks to the internet. This is beneficial to business. However, it increases the demand on logistics and supply chain partners to move goods promptly and safely.
As a result, logistics companies are investing heavily in chilled shipping. The market for refrigerated shipping containers is presently the fastest-growing area of the container business. This, in turn, is driving investment in linked sensors and IoT devices, which are critical for both temperature regulation and data reporting during transportation.
5. Digital Twins:
A digital twin is a virtual representation of a tangible asset in the real world. Consider it a more advanced mathematical model that is linked to a physical thing via sensors and network technology. All physical model changes and variations are reflected in the digital twin, allowing academics and data science teams to obtain useful insights and experiment with various results.
Digital Twins, a technology that allows the physical and digital to become one, is an exciting new development for storage and logistics organizations in 2021. It opens up a world of possibilities for supply chain logistics services, allowing data to be collected to prevent problems and weak spots in the supply chain. Users can utilize digital twins to construct models and prototypes of places like storage and hubs, and then test alternative scenarios to find better ways to boost productivity.
6.  Paperless Transactions: 
Legacy administrative processes are to blame for a slew of issues in the logistics business. In addition, processing and administrative expenses from paper transactions account for a large portion of transportation costs.
A rising number of logistics companies are adopting blockchain technology to streamline transactions. The use of paper is no longer necessary thanks to blockchain-enabled platforms with distributed ledgers. Advanced mechanisms, such as smart contracts and custom clearance systems, are also possible. 
Life Care Logistic provides a platform that enables providers to specify unique customer preferences and automate billing with the push of a button. This type of mechanism can speed up payments, saving businesses weeks or even months of waiting for transactions to clear.
Conclusion:
Regardless of how you look at it, technology is transforming the logistics industry. Companies that do not adapt to this new environment will find it difficult to remain relevant. Companies that modernize their operations with current tools, technology, and procedures, on the other hand, place themselves in a strong position to succeed in the near future.
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cynthiasebatina · 3 years
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iPC Scholar is an integrated platform that offers the capabilities to incorporate both, a Content Management System (CMS) and built-in marketing tools to help promote your content on the same platform.
Our flagship platform – iPC Scholar has been engineered with a modular structure, so it can easily be adapted for the needs of the publishers and eLearning providers. Our platform facilitates the users to host their digital learning content and also rewards them with quicker and higher ROI by helping them grow their online traffic and conversions.
The built-in CMS features and marketing tools in the platform are stitched together seamlessly. These two, coupled with the eCommerce features on the platform, provide your own digital twin of the warehousing, marketing, and distribution of your digital assets.
Whether you are a Publisher, Society, or Association, or an eLearning provider, the built-in CMS on our platform provides immense value to you with the following features:
Launch multiple eLearning Sites (portals) from a single back-office: iPC Scholar has numerous, robust features that satisfy nearly every content hosting need.You can simplify the management of your multiple eLearning Sites /Portals with centralized control for all your portals from a single back-office administration. Maintain easily multi-geography or demographic-specific portals Reach out to the broader audience with support for multiple languages (including LTR and Double-byte languages) Activate or disable your content based on the geography (for example, some eBooks may not be available for a particular country)
Single source to manage all your learning content: It enables the admins to manage and update content in real-time, without the need for any specialized technical knowledge.Streamline your operations with one CMS to manage learning contents in multiple formats (eBooks, audiobooks, video courses, Courses, LMS) Save your time with minimal steps to maintain your digital assets across all your portals (e.g. uploading a revised edition of an eBook)
Easy to scale & instant content updates:Maintain a single source of truth for all your digital contents (irrespective of the number of end-user portals) Provide broader options to your customers with support for both the digital and print versions for eBooks/Journal Flexibility to sell eBooks even as individual chapters (chapter sales)
You can have an expansive catalog of learning content in your CMS, but it’s of little value if you are not able to reach out to the right prospects and when your customers are not able to locate the exact learning content (digital books, journals, courses, etc.) that they are looking for.
We take care of this with the built-in marketing tools on our platform. Here is a glimpse of what the platform has to offer:
Widget Marketing: iPC Scholar allows admins to instantly create widgets at the products level. These widgets can be embedded on any webpages (such as start pages, social networks, blogs) and mobiles. These widgets also have a built-in option to allow the customers to purchase the product with a single click. Expand your reach and get a higher ROI with no additional costs.
Supports SEO Web Crawlers: iPC Scholar has an SEO-friendly structure to support the web crawlers. As a result, your eLearning portal and its contents are indexed efficiently and helps you obtain a higher ranking on the search engines.
View Inside: This feature enables book previews that allow readers to have a look inside some permitted sections in the eBooks. You can pique the interest of the potential online prospects and convert them into actual buyers. You can attract higher sales by providing such previews. The sections and number of pages allowed for preview are completely in your control.
Social Media Sharing: Your learners can share the eBooks/Journals/ Courses they are consuming on social media (Facebook, Twitter, LinkedIn). This helps you at two levels: First, you reach out to wider potential prospects. Secondly, the increased sharing on social media helps you obtain a better ranking in the search engines.
Promote through Limited-time Open Access: You can set a predefined period for which your select learning contents can be Open Access. You are not only able to ensure initial customers for your new releases but also generate increased traffic to your portal.
Flexible Discounts Management: Grow your customer base and improve your sales with discounts, as your seasonal strategies, or for your off-season promotions. Enjoy the flexibility to configure discounts for multiple products at a time as a fixed percentage or a flat discount.
Banner Management: Get wider visibility to your key products, discounts, offers, news, and events on your learning portal with easy-to-use automated management of banners and carousels.
Pre-configured Notification Alert: iPC Scholar allows its admins to define events for pre-configured and automated email alerts to your customers. For example, you can intimate your customers of new releases in the areas of their interest. You can also alert your customers to the abandoned cart and encourage them to complete the payments.
Built-in analytics to gain actionable insights: Get better insight into your customers and anticipate their requirements proactively with the help of built-in analytics on user behavior. Create your promotion programs and advertisement campaigns empowered with these data.
Mailchimp integration: Our platform integrates with MailChimp and similar applications so that your marketing team can send customized promotions to your customers. With the help of tools like MailChimp, email marketing is thriving.
Content Bundles or Collections (eBook/ journal bundles): We help publishers to create eBook/journal bundles, thereby enabling them to aid audience development and increase their revenue streams. Such bundles also allow publishers to easily create entire product lines from an existing product and expand their content portfolio. Your collections can have a separate pricing structure than your individual contents.
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nitorinfotech-blog · 4 years
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Our Three Ingredient Recipe to Equip Your Business with Hyper Automation
Adding an extra layer of intelligence to your business processes
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What are the challenges with manual processing?
In 2021, most of us are familiar with the common drawbacks of manual processing- increased errors, greater time consumption, plentiful bottlenecks, to name a few. Not too long ago, some guy in a lab put on his thinking cap and his drive to overcome these challenges led to the evolution of automation. Simply put, automation entails the use of technology to bring human interference to a minimum. When we talk about computing, automation is generally performed by a program, script or batch processing that optimizes processes by reducing errors and increasing productivity.
Now you may think that automation is all-encompassing. However, allow me to use this blog to introduce you to a cutting-edge phenomenon that is Hyper automation.
While the idea of Hyper automation is not new as such, the term was coined only last year in  Gartner’s Strategic Technology Trends for 2020.  
Essentially, hyper automation is making use of advanced technologies such as artificial intelligence, machine learning, advanced analytics, etc. and inculcating them within your preexisting automation infrastructure to further accelerate processes and augment humans. Think of it as automation on steroids!
And what can one do with this hyper automation, you may ask. The answer is simple- with hyper automation, you can essentially create a digital twin for your organization. Not only that, but you can also whip up this powerful concoction with the help of a three-ingredient secret sauce that goes like this:
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1.      A solid mix of RPA and AI
Robotic Process Automation (RPA) is a business process automation technology that partially or fully automates complex, repetitive processes with the help of advanced technologies such as NLP, deep learning, speech, vision, predictive analysis, etc. making it easier to minimize human interference in business processes.
I think I can go out on a limb here and say that at its core, hyper automation is the amalgamation of RPA and AI wherein the RPA mimics human actions through bots and AI simulates human intelligence, and together they facilitate stellar end-to-end processes.
We see the RPA+AI marriage swiftly making its way through a plethora of industries. Let me elaborate with a use case from the Banking, Financial Services, and Insurance Industry.  The BFSI industry benefits amply from hyper automation. RPA and AI can be deployed not only for reporting, marketing, back office operations, etc. but also to proactively monitor transactions and identify fraudulent activities. Additionally, they can also be utilized in claims processing which is possibly one of the most critical aspects of insurance.
2.      A pinch of Business Process Management
No hyper automation process can be successfully implemented without Business Process Management (BPM). As we all know, introducing new digital tools into a business can often be difficult, especially when the business is new to automation. It is therefore supremely important for businesses to create seamless workflows and test them in advance to avoid any breakdowns.
BPM as a tool can be used to effectively manage strategies and initiatives in hyper automation. It carries additional weightage when it comes to industries such as Healthcare which is extremely regulated and effective process automation can make or break operational success.
3.      Finish off with a dash of Advanced Analytics
One of the drawbacks of using RPA in its vanilla format is that it is limited to structured data only. With hyper automation, it is possible to handle both- structured and unstructured data efficiently. It is also possible to convert unstructured data into structured data for use as aid to RPA technologies. With the help of these advance analytics, businesses can access important insights that were otherwise inaccessible and allow disparate digital tools to work together seamlessly.
Handling massive amounts of data is crucial while considering digitization in sectors such as retail. Hyper automation fueled by advanced analytics can help retailers by effectively automating business processes such as order processing, payments, logistics, warehousing, risk management, etc.
And there you have it! You are now acquainted with the revolutionary tool of Hyper automation that you can implement to transform your business processes.
To summarize in layman terms, hyper automation is the difference between beating eggs with a regular whisk as opposed to an electric whisk- reduced effort, time, and guaranteed better results. Once you automate it, there’s no going back. And for a business that means benefits such as:
-        Flexibility
-        Improved productivity 
-        Seamless Integration
-        Increased ROI
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Finally, at this juncture, I think it is important to establish that for businesses, hyper automation is not only a potential opportunity but an inevitable paradigm shift which augments human capabilities without replacing them. So, before you go ahead and villainize these robots, let me leave you with the assurance that they’re not here to take your job, but to give you a promotion.
If you want to know more about the electric-whisk-equivalent Hyper automation technology, reach out to us at Nitor Infotech and read to know more about our AI-ML capabilities.
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