The Future of Ocean Data Sharing and Visibility

Warehousing and Distribution

Article | June 16, 2023

Data volume in supply chains is usually enormous. Analytics applied to the supply chain help make sense of the pile of information by identifying patterns and drawing conclusions. Contents 1 Importance of B2B Supply Chain Analytics 2 Obstacles in Supply Chain Analytics Integration 2.1 Barriers in Collecting and Processing Data 2.2 Insufficient Technical Skills 2.3 Issues in Managing and Integrating Data 2.4 Inadequate Analytics and Insights Generation 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making 3.1 Leveraging External Expertise 3.2 Enhancing Collaboration and Communication 3.3 Improving Data Quality and Governance 3.4 Developing Analytics Capabilities 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses 5 Conclusion 1 Importance of B2B Supply Chain Analytics Supply chain analytics has become a pillar of contemporary business strategy, enabling organizations to leverage data insights and enhance vital supply chain processes. By utilizing real-time data analytics, businesses can streamline their supply chain operations, boost productivity, and increase customer satisfaction. With unparalleled visibility into key performance indicators, B2B supply chain analytics provide the opportunity to identify inefficiencies, reduce costs, and react swiftly to ever-changing market dynamics, streamlining the process for supply chain business analysts who manage supply data. Leveraging the power of supply chain analytics tools is important for the success of modern businesses in the age of data-driven decision making. With the ability to optimize inventory levels, manage lead times, and reduce transportation costs, supply chain data analytics provides a competitive advantage that can increase the efficiency, productivity, and profitability of businesses of all sizes and in all industries. 2 Obstacles in Supply Chain Analytics Integration Supply chain analytics integration has become increasingly critical for companies seeking to optimize their supply chain operations. However, several obstacles hindering successful implementation often complicate the integration process; hence, understanding and knowing them in advance is vital for smooth operations. 2.1 Barriers in Collecting and Processing Data Effective data collection and processing are critical in generating accurate insights to drive supply chain analytics decision-making. However, it comes with challenges; the most critical obstacle is data silos, where data is stored in isolated systems or departments, leading to difficulties in accessing and integrating it. It gets more complex when different departments or partners use varied data formats or standards. Additionally, cleaning and processing data is also challenging, as it involves identifying and eliminating duplicates, inconsistencies, and errors that can negatively impact analytics accuracy. 2.2 Insufficient Technical Skills Successful supply chain analytics integration depends heavily on technical skills and knowledge. Insufficient technical talent and expertise are significant barriers to successful integration. The integration process requires specialized technical expertise and the supply of skilled professionals with expertise in ETL, statistical analysis, knowledge of ML, IoT, SQL, and more in managing supply chain analytics Talent lacking technical skills cannot accurately interpret data, leading to ineffective decision-making. Preliminary data analysis, processing, and visualization due to a lack of technical expertise results in suboptimal decision-making, which can be costly for businesses. 2.3 Issues in Managing and Integrating Data Data integration combines data from various sources and formats to create a unified view. However, businesses face data governance, quality, and standardization issues, resulting in incomplete or inconsistent data. Lack of accurate information reduces the efficiency of supply chain analytics and impacts decision-making. Additionally, data management is complex, and business face difficulties creating effective data management processes, resulting in problems related to storing, retrieving, and updating data. 2.4 Inadequate Analytics and Insights Generation Obtaining valuable insights from enormous data collected during the supply chain process requires advanced analytics tools and technologies. Many businesses, however, continue to rely on traditional reporting methods, which limit the range and complexity of insights generated. The lack of expertise in data analysis and visualization can lead to poor interpretation and use of data, resulting in suboptimal decision-making. In addition, businesses experience difficulty identifying relevant data sources or may struggle to establish the necessary data governance frameworks to ensure data quality and accuracy. 3 Addressing Supply Chain Analytics Complexities for Better Decision-Making Supply chain analytics can provide valuable insights, but the complexities involved in analyzing and interpreting data can be a significant hurdle. Learning the strategies for addressing these complexities to improve decision-making in supply chain management has become essential. 3.1 Leveraging External Expertise Leveraging external expertise can be a powerful strategy for addressing supply chain analytics complexities related to collecting and processing supply chain data during integration. External experts bring specialized skills, experience, and knowledge that may not be available in-house, enabling organizations to overcome talent shortages and expand their capabilities. Furthermore, consultants, data scientists, or technology providers provide an objective viewpoint on the organization's data and processes, identifying areas for improvement and optimizing performance. By collaborating with external experts, organizations can access the latest tools, technologies, and best practices, ensuring that their supply chain analytics are up-to-date and relevant. 3.2 Enhancing Collaboration and Communication Enhancing collaboration and communication can effectively address the challenge of insufficient technical skills in thriving supply chain analytics integration. By promoting cooperation and cross-functional communication, organizations can leverage the skills and expertise of team members from various departments to fill gaps in technical knowledge. This approach can also help to break down data silos and improve data sharing and integration. In addition, collaboration and communication can facilitate knowledge transfer, enabling team members to learn from one another and develop a more comprehensive understanding of the supply chain analytics process. Ultimately, this can lead to improved decision-making, as a more skilled and knowledgeable team can generate more accurate and insightful analytics. 3.3 Improving Data Quality and Governance Businesses ensure accuracy, completion, and up-to-date data by establishing standardized processes and protocols for collecting, storing, and analyzing data. Data quality checks, including data cleansing and normalization, can help eliminate errors, redundancies, and inconsistencies that can negatively impact the accuracy and usefulness of analytics. In addition, effective data governance, including establishing data ownership, security, and privacy policies, helps ensure that data is managed and shared appropriately across the organization. As a result, it reduces the risk of data breaches, compliance violations, and other data-related issues, ensuring that organizations have access to reliable data for better decision-making. 3.4 Developing Analytics Capabilities Developing capabilities significantly help organizations overcome inadequate analytics and insights generation challenges in analytics integration. Investing in advanced analytics tools and platforms like technical skills, data infrastructure, and advanced supply chain analytics techniques help businesses generate real-time, accurate, and actionable insights from collected data. Developing analytics capabilities requires creating a culture that values data and analytics, establishing robust data governance frameworks, upskilling the workforce and creating cross-functional teams collaborating on data-related projects. In addition, it helps businesses gain a competitive advantage. 4 Power of Successful Supply Chain Analytics Integration in Transforming Businesses Effective supply chain analytics integration is revolutionizing business operations. Real-time and supply chain predictive analytics have helped businesses gain unmatched transparency in their supply chains, enhance critical processes, improve operational efficiency and customer satisfaction, and experience revenue growth and profitability. The ability to identify inefficiencies and supply chain optimization opportunities enables businesses to effectively allocate resources and reduce expenses. In addition, successful supply chain analytics integration enables businesses to respond quickly to changing market dynamics, optimize inventory management, and strengthen the resilience of their supply chains. Businesses are leveraging the power of big data analytics to disrupt and transform supply chain at all levels. The concept of data, which was once a fundamental component of digital supply chain transformation, is now revolutionary. Therefore, it is essential to achieve advancements in supply chain analytics integration and management. 5 Conclusion With technological and data analytics advancements, businesses can utilize real-time data insights to make data-driven decisions, optimize supply chain processes, and improve customer experiences. Integration of supply chain analytics is crucial for supply chain businesses of all sizes. Utilizing supply chain analytics software can further streamline integration as well as enhance data analytics and supply chain management.

Management

Article | June 21, 2023

Leveraging technology and resources within a network is key to supply chain optimization. While supply chains are inherently complex, this complexity can lead to significant technological benefits. Contents 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization 2.1 Autonomous Delivery 2.2 Cognitive Automation 2.3 Blockchain-enabled Traceability 2.4 Predictive Maintenance 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints 3.2 Skills Gap in Talent 3.3 Privacy and Data Security Concerns 4 Overcoming Challenges 4.1 Adopting Technologies for Managing Budget and Cost 4.2 Developing Talent Pipeline 4.3 Implementing a Zero Trust Security Model 5 Future Outlook Supply chain optimization involves maximizing the utilization of technology and resources within a supply network. Although supply chains are inherently complex, this complexity can yield significant technological advantages, particularly when leveraging the combination of blockchain, artificial intelligence (AI), and Internet of Things (IoT) technologies. 1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain Emerging technologies have transformed the supply chain industry and revolutionized business operations. AI, IoT, blockchain, and robotics are getting prominence with the ability to streamline supply chain processes, reduce costs, increase efficiency, and ultimately boost customer satisfaction. Implementing these technologies can give businesses real-time supply chain visibility, reducing waste and enhancing inventory management. Understanding the potential benefits of these emerging digital supply chain technologies and how they can be implemented within the supply chain is essential for any business that intends to stay in a competitive and rapidly evolving market. 2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization Blending operations with emerging supply chain technologies can significantly improve the speed and accuracy of information flow, minimize manual intervention, and reduce lead times. Additionally, these technologies can provide enhanced visibility into supply chain operations, enable effective risk management, and facilitate proactive decision-making. 2.1 Autonomous Delivery Incorporating autonomous delivery that comes with self-driving vehicles benefits businesses beyond faster delivery times, lowers costs and reduces human error. It offers increased safety, greater flexibility, and improved resource management. It benefits industries like e-commerce and logistics, where quick and efficient delivery is crucial. 2.2 Cognitive Automation Businesses face significant challenges due to unpredictable fluctuations in supply and demand, which can strain their existing technology. To mitigate these risks, executives have increased their investments in risk management. Cognitive automation offers three key benefits in supply chain management: identifying challenges and opportunities, gathering demand signals, and utilizing data for decision-making. Cognitive automation makes balancing supply and demands more efficient and effective, allowing businesses to act faster. 2.3 Blockchain-enabled Traceability Blockchain technology, a distributed ledger system, enables secure, transparent, and traceable record-keeping across a supply chain network. By providing a tamper-proof record of product movement and quality, blockchain technology can enable businesses to verify the authenticity and integrity of their products at each stage of the supply chain. In addition, blockchain technology allows businesses to quickly trace product origins and identify affected batches during recalls. 2.4 Predictive Maintenance Predictive maintenance is a technology that uses machine learning algorithms and Internet of Things sensors to predict impending equipment failures. By analyzing equipment performance data, predictive analytics enables businesses to reduce equipment downtime, lower maintenance costs, and increase reliability. With predictive maintenance, businesses can transition from reactive to proactive maintenance, preventing equipment failures and extending equipment lifecycles. 3 3 Key Challenges in Adopting Emerging Technologies 3.1 Cost and Budget Constraints The executives in the supply chain industry face a significant challenge when adopting emerging supply chain technologies due to the associated costs and budget constraints. While these smart supply chain technologies offer long-term benefits, the upfront investment can deter businesses. Businesses need to consider the total cost of ownership, including implementation, training, ongoing maintenance costs, and the potential return on investment. 3.2 Skills Gap in Talent Incorporating emerging technologies and trends in supply chain operations management is a complex and costly investment that demands a highly skilled workforce to implement and operate such supply chain technologies successfully. A significant skills gap while adopting technology in the supply chain industry poses a challenge for businesses in finding and training competent personnel with technical, analytical, and business skills required to handle emerging technologies. 3.3 Privacy and Data Security Concerns As supply chain operations adopt cutting-edge technologies, companies must address privacy and data security issues. The use of technology requires the collection and dissemination of sensitive data across multiple parties, which raises security and privacy concerns that can be exploited by cybercriminals or unauthorized personnel. Failure to adequately address these issues may result in reputational harm, legal and financial penalties, and a loss of customer confidence. 4 Overcoming the Challenges 4.1 Adopting Technologies for Managing Budget and Cost To overcome the challenge of budget and cost constraints in adopting technology in the supply chain, businesses can leverage innovative tools, such as cost management software and advanced analytics tools, which can provide real-time visibility into cost drivers and enable better decision-making to optimize resource utilization. With the top three technologies in supply chain such as AI, IoT and blockchain, businesses can reduce costs, boost supply chain performance, and maintain market competitiveness. AI predicts demand, maximizes inventory and improves transportation; RPA automates manual tasks, reduces labor costs, and cloud computing provides a flexible and scalable IT infrastructure with reduced upfront investments. 4.2 Developing Talent Pipeline Businesses must invest in building a talent pipeline to ensure a steady supply of skilled employees to narrow the skills gap in the supply chain industry. Collaboration with educational institutions, in-house training programs, and managed service providers from the technology industry can all be part of the answer. The organization's competitiveness and success can be increased by creating a talent pipeline to fill the skills gap between the current workforce and the needs of emerging technologies. Businesses can keep their workforce current and ready to adopt new technologies in supply chain by investing in a talent pipeline. 4.3 Implementing a Zero Trust Security Model As businesses adopt emerging technologies for supply chain operations, privacy, and data security, concerns have become a formidable obstacle. The implementation of a zero-trust security model can aid in addressing this difficulty. Before gaining access to any data or system, all users and devices in this model must be authenticated as potential threats, per this model. This strategy protects data and systems from unauthorized access and enables businesses to comply with regulations such as the GDPR and CCPA. In addition, it can provide supply chain visibility and control over data access in real-time, making it more effortless to detect and respond to security threats. 5 Future Outlook Supply chain leaders view emerging supply chain technology as a competitive advantage and as a means to address digital transformation. In addition, there is a focus on supply chain technologies that improve human decision-making and manage assets at the edge. Organizations should unify their technology portfolio and update legacy systems for greater efficiency. As supply chain complexity increases, we can expect even more advanced technology solutions leveraging big data, machine learning, and robotics to create agile, flexible, and sustainable supply chains.

Warehousing and Distribution

Article | June 27, 2023

Efficiency is crucial for B2B supply chain success. Effective supply chain management techniques can streamline operations, reduce costs, and enhance customer satisfaction from planning to delivery. Contents 1. Strategic Planning to Enhance Supply Chain Optimization 1.1 Roadmap for Developing Supply Chain Optimization 1.2 Integrating Supply Chain Strategy with Business Strategy for ROI Growth 2. Effective Procurement Strategies to Maximise ROI in Supply Chain 2.1 Supplier Relationship Management 2.2 Cost-effective Procurement Processes 2.3 Continuous Improvement and Innovation 2.4 Risk Management and Mitigation 3. Optimizing Supply Chain with Effective Demand Forecasting Techniques 3.1 Anticipate Future Demand 3.2 Overstocking and Understocking Risk Management 3.3 Integrated Forecasting approach between Supply Chain Stakeholders 4. Emerging Technologies for Supply Chain Optimization Leveraged by Enterprises 4.1 AI and ML 4.2 Blockchain Technology 4.3 IoT 4.4 Augmented Reality and Virtual Reality 5. Leading Solution Providers for B2B 6. Conclusion Optimizing the B2B logistics and supply chain management has become a crucial business strategy to increase efficiency, cut costs, and boost customer satisfaction in the fiercely competitive business environment. With the increasing customer demand, supply chain managers now emphasize on faster, more precise, and unique ways to fulfill orders with enhanced logistics management techniques. “Companies that optimize their supply chain operations experience a 2.3 times greater EBITDA (earnings before interest, taxes, depreciation, and amortization) than their competitors.” (Source - A survey by Deloitte in 2020) Despite the significance of supply chain optimization, it is challenging to keep up with the latest industry trends and best practices due to the dynamic nature of the logistics industry. Learning the value of optimizing the B2B supply chain and how it can assist businesses in keeping up with the ever-growing demands of their customers through planning, strategizing and leveraging technologies helps businesses maintain a competitive advantage and achieve sustainable growth. 1. Strategic Planning to Enhance Supply Chain Optimization To achieve optimal results, businesses must develop a comprehensive plan outlining their supply chain improvement goals, objectives, and strategies. 1.1 Roadmap for Developing Supply Chain Optimization Developing a roadmap for supply chain optimization includes reviewing current operations that help in identifying the strengths and weakness of the supply chain management and assist in recognizing the opportunities for improvement, establishing SMART goals and objectives, defining strategies to meet these goals, involve streamlining processes, investing in technology, improving supplier relationships, and engaging customers and actions, as well as ensuring market adaptability to accommodate changing market conditions and evolving customer needs through assessment and adjusting the roadmap. 1.2 Integrating Supply Chain Strategy with Business Strategy for ROI Growth Integration of the supply chain involves aligning the supply chain objectives with the overall business goals, such as revenue growth, cost reduction, and customer satisfaction. The integration ensures the supply chain operations support the business goals, like cost reduction, customer satisfaction and revenue growth. "Companies that successfully integrate their supply chain and business strategies can reduce operating costs by 10-15% and increase efficiency by 20-30%.” (Source - A study by Accenture in 2020) The alignment further helps track KPIs and data-driven decision-making and continuously improves the supply chain operations to achieve objectives. Furthermore, it assists in better planning, coordination, and execution of supply chain activities, resulting in faster and more accurate fulfillment of customer orders. 2. Effective Procurement Strategies to Maximize ROI in Supply Chain Procurement strategies can raise productivity in the fast-paced logistics management and supply chain industry by optimizing the supply chain, boosting efficiency, and giving a competitive edge. 2.1 Supplier Relationship Management Effective supplier relationship management (SRM) can result in more competitive pricing, enhanced product quality, and increased dependability. To accomplish SRM, businesses must identify key suppliers, develop partnerships, communicate effectively to ensure clear expectations and mutual understanding, share information and collaborate to foster innovation and continuous improvement. 2.2 Cost-effective Procurement Processes Implementing cost-effective procurement procedures can help businesses reduce expenses and enhance productivity. To achieve cost-effectiveness, businesses should streamline operations to save time and money, leverage technology to automate processes and improve accuracy and negotiate with suppliers for better pricing and terms. 2.3 Continuous Improvement and Innovation Continuous improvement and innovation are necessary for logistics and the supply chain to remain competitive. This involves regularly reviewing and updating procurement processes, supporting supplier innovation, and keeping up with procurement and supply chain management technology trends and developments. 2.4 Risk Management and Mitigation Effective risk management and mitigation strategies are essential to prevent disruptions in the supply chain. To achieve this, businesses should focus on identifying potential risks and developing mitigation strategies, incorporating redundancy into the supply chain to minimize the impact of disruptions, and establishing transparent emergency communication and escalation procedures. 3. Optimizing Supply Chain with Effective Demand Forecasting Techniques 3.1 Anticipate Future Demand Accurate demand forecasting is crucial for supply chain optimizing done by analyzing real-time supply chain data to identify trends. For demand forecasting, businesses can utilize historical sales data, market trends, and customer feedback. To make accurate forecasts, companies must consider various factors influencing demand, such as seasonality, economic conditions, and shifting customer preferences. 3.2 Overstocking and Understocking Risk Management Demand forecasting errors can lead to overstocking and understocking in supply chain management. Using demand forecasting rightly can determine the optimal inventory level at any given time to avoid overstocking and understocking. Businesses can predict demand and adjust inventory by analyzing sales data, market trends, and other factors. 3.3 Integrated Forecasting approach between Supply Chain Stakeholders The integrated forecasting approach entails coordinating data sharing and communication between all supply chain stakeholders, from suppliers to customers. Stakeholder participation in demand forecasting improves accuracy. In addition, each stakeholder has unique knowledge and perspective that can help identify trends and patterns. 4. Emerging Technologies for Supply Chain Optimization Leveraged by Enterprises 4.1 AI and ML Leading SCM providers do offer regression modeling and causal analysis for demand forecasting. Using AI and ML, the functionality is embedded within the DP module. If a more rigorous and sophisticated approach is desired, it is possible to forecast demand numbers outside the SCM system using sophisticated modeling and then upload them back into the SCM system. 4.2 Blockchain Technology Blockchain enables secure, transparent, and decentralized transactions. It can be utilized in the supply chain to track the movement of goods, reduce the risk of fraud, and increase supply chain visibility by maintaining an immutable record of every transaction. 4.3 IoT To monitor humidity, temperature control, and other environmental factors that affect the quality of products while in transit. IoT helps businesses enhance supply chain visibility, reduce product spoilage risk, and enhance customer satisfaction using modern temperature control technology. 4.4 Augmented Reality and Virtual Reality AR and VR technologies are transforming the supply chain by improving the accuracy of inventory management, reducing errors, and enhancing the training of employees. In addition, its tools can be used to create digital representations of warehouses, products, and equipment, allowing employees to visualize the supply chain and identify areas for improvement. 5. Leading Solution Providers for B2B Several leading B2B companies have been identified based on research for supply chain optimization. To optimize supply chains, these companies have demonstrated a commitment to strategic planning, effective procurement strategies, and demand forecasting techniques. The solution providers also recognize the significance of managing risks associated with overstocking and understocking and have implemented integrated forecasting approaches with their supply chain partners and customers. In addition, these companies use emerging technologies such as augmented reality, virtual reality, cloud technology, machine learning and AI, blockchain technology, and the IoT to improve their supply chain operations. By prioritizing supply chain optimization, the following B2B companies gain a competitive advantage within logistics and supply chain industries and provide exceptional customer experiences. Coupa Software The supply management solutions offered by Coupa Software are hosted in the cloud and make use of machine learning and artificial intelligence to provide businesses with insights that can be used for data-driven decision-making.It assists businesses in tracking the performance of their supply chains compared to key performance indicators, identifying areas in which advancements can be made, and taking action to optimize their supply chain operations. Stord Stord a platform provider, offers a suite of software solutions that improve supply chain management for businesses. Its warehousing, transport, and inventory management solutions are integrated into a single platform. As a result, Stord offers companies greater visibility and control over their supply chains, allowing them to make more informed decisions and optimize operations by combining these functions into a single platform. Roambee Roambee is an artificial intelligence (AI)-powered platform that provides improved supply chain and visibility solutions for real-time, on-demand, and end-to-end data. Using cloud data analytics and automation, it assists in monitoring shipments, inventories, and returnable assets to provide dependable and responsive monitoring solutions. The result is a return on investment (ROI) of 4X or more on the supply chain assets by optimizing inventory levels and utilization. FlowSpace FlowSpace offers cloud-based supply chain solutions. With an internet connection, businesses can access real-time inventory, orders, and shipments from anywhere. Its solutions optimize inventory and demand fulfillment with machine learning and predictive analytics. In addition, IoT sensors and beacons provide accurate warehouse operations data for the company. FlowSpace uses cutting-edge technology to provide efficient and effective supply chain solutions. OPTEL Group OPTEL Group's cutting-edge traceability solutions help businesses optimize their supply chain. These solutions permit businesses to track their products and materials throughout the supply chain, from production to distribution. It's traceability solutions provide businesses with real-time visibility into their supply chain operations by utilizing advanced data capture technologies such as barcode scanning, RFID, and serialization. This allows them to identify potential bottlenecks, optimize workflows, and decrease waste and inefficiency. Blue Ridge Blue Ridge,a provider of cloud-based supply chain solutions, has developed a suite of solutions that make use of machine learning and artificial intelligence to improve the accuracy of forecasts, reduce the costs associated with inventory, and increase company's profitability. It does this by providing businesses with flexible and scalable solutions, as well as ones that can be adapted to meet the particular requirements of each business. GMDH Streamline GMDH Streamline makes use of complex algorithms to perform data analysis and provide insights that, when implemented in B2B logistics operations, can lead to increased efficiency and a reduction in costs. This software can analyze past sales data and make predictions about future demand patterns, which helps to ensure that the right products are always available for purchase. Because of this, there will be less of a need for excessive stockpiling, which can prevent the free flow of capital and raise the risk of stock obsolescence. Netstock Netstock's cloud-based solutions provide businesses the agility and responsiveness they need to stay competitive in the ever-changing business landscape. With its seamless integration with industry-leading ERPs, Netstock unlocks valuable ERP data and enables businesses to make informed decisions based on enhanced analytics. In addition, by leveraging Netstock's solutions, businesses can respond swiftly to supply and demand fluctuations, resulting in optimized logistics and efficient supply chain management. Solvoyo With Solvoyo's platform, businesses can optimize their supply chain performance, reduce inefficiencies, and achieve cost savings. In addition, the platform offers advanced scenario modeling and real-time analytics to help companies to make informed decisions and quickly adapt to changing market conditions. By leveraging Solvoyo's capabilities, businesses can achieve a competitive advantage and drive growth in the dynamic world of supply chain management. American Software, Inc. American Software provides logistics and supply chain companies with supply chain management software solutions. Its solutions including supply chain planning, warehouse management, transportation management, global trade management, and vendor inventory management are intended to assist businesses in optimizing their B2B logistics operations, increasing their efficiency, and lowering their expenses. In addition, it provides modern temperature control technology to ensure safe and efficient transport of temperature-sensitive goods in the supply chain. 6. Conclusion “The global supply chain management market size is expected to reach USD 37.4 billion at a CAGR of 11.3% by 2027." (Source - Grand View Research) The anticipated growth of the global supply chain management market presents businesses with opportunities to enhance their supply chain operations by implementing innovative technologies and strategies. The increase in market size indicates a growing demand for efficient supply chain management solutions that reduce costs, optimize efficiency, and improve customer satisfaction. Businesses can use AI, blockchain, and augmented reality to analyze real-time data, forecast demand, and streamline procurement. These technologies and strategies can give logistics and supply chain management businesses an edge in the increasingly competitive marketplace.

Article | May 31, 2021

Supply chain is the backbone of any business. Since there is a supply chain in existence, you can buy whatever product you want. The supply chain is evolving since the Industrial Revolution, and it is still changing, and the evolution journey is fascinating. Before moving forward with the article, first, let's understand supply chain and supply chain management. What is a Supply Chain? A supply chain is an entire process of producing and selling commercial goods, beginning with the procurement of raw materials and ending with the distribution and sale of the goods. The supply chain ensures that a product is available in the right place, at the right time, and the lowest possible cost while ensuring the product quality. The supply chain aims to provide the maximum value to the customer at the minimum likely costs. The supply chain is the single most significant expense for businesses, and it provides them with a tremendous opportunity to improve and increase savings and profit margins. The price of most products is competitive in the market, but the supply chain determines the product's profit margin. The demand for products and services fluctuates for various reasons, and meeting this fluctuating demand with a higher degree of quality requires knowledge of supply chain management. Effective supply chain management is essential for any business to compete in the market. What is Supply Chain Management? Supply chain management is an essential factor in a business's long-term success. The management of how goods and services evolve from raw materials to products sold to consumers is known as supply chain management. It includes the processes of transporting and storing raw materials, storing finished goods until they sell, and tracking where sold goods go so that you can use the data to boost future sales. Supply Chain Management includes all aspects of business activities, including logistics, purchasing, and information technology. Materials, finances, suppliers, manufacturing plants, wholesalers, retailers, and consumers are all combined into a single system. A business with a well-managed supply chain can significantly reduce all operating costs associated with that chain, resulting in higher profits. The main goal of effective supply chain management is to increase profitability by improving customer satisfaction and reducing business costs. Profits improve as expenses are in control and reduced when possible. When the costs of purchasing raw materials and manufacturing goods drop, the operating costs also decrease. Challenges in Supply Chain Management There are many challenges related to supply chain management. In this section, we will focus on some of the most significant supply chain management challenges. • Visibility: It is a significant issue in supply chain management. Businesses are unable to track all international cargo. The majority of data on the ocean or air shipments is often unavailable. Between 2008 and 2016, an average of 600 containers lost at sea (it does not include catastrophic incidents). These figures are concerning because the amount of cargo shipped over time is rapidly rising. • Uncertainty: Uncertainty has been difficult in supply chain management. Demand planning is essential because many businesses have massive amounts of leftovers. If it is perishable, it is thrown away. There is a lot of waste, and it's all because of bad planning. In addition, initial raw materials may be unreliable, or lead time may be unpredictable. It isn't easy to be confident of any part of the supply chain, mainly because it is an extensive system. • Customer Service: Supply chain management is all about getting the right product to the correct location at the right time. It seems easy at first, but it can quickly become complicated. • Cost Management: Increasing energy/fuel and freight costs, a more significant number of global customers, technology, rising labor wages, new regulations, and rising commodity prices all strain operating costs. • Planning and Risk Management: Annual reviews and redesigns are needed to be efficient and effective. These changes are in reaction to market changes, such as new product releases, global sourcing, credit availability, and the need to protect intellectual property. To monitor and minimize these threats, they must be identified and quantified. • Supplier/Partner Relationship Management: It is crucial to create, understand, and follow mutually agreed standards to understand current performance and areas for improvement better. Using two separate approaches to measure and communicate performance results is a waste of time and resources. Trusting the system that was in place to ensure consistency and better supplier/partner relationships is necessary. Emerging Trends in Supply Chain The supply chain process is continuously evolving. The emerging supply chain and logistics trends prioritize intelligent, tech-driven management to minimize operational costs and enhance efficiency. The logistics and supply chain aspect is vital for any business in supplying high-quality raw materials, ensuring an efficient manufacturing process, and tracking, shipping, and storing finished goods. Companies that implement well-designed supply chain practices can satisfy customer needs more quickly and efficiently. This improves customer relationships and loyalty, resulting in increased revenue and the acquisition of new customers through positive word of mouth. Let's look at some significant emerging trends that are expected to shape and develop supply chain operations in the future. Digitization of Supply Chains Digitization is the process of reinventing logistics operations by combining the latest technology with other physical and digital assets. Digitization allows us to better adapt to the fast-paced, highly competitive, omnichannel business environment. Digitization increases the speed, dynamics, and resiliency of supply chain operations, resulting in improved customer responsiveness and, ultimately, increased revenue. Companies that embrace digitalization can gain genuine value, improved revenue, and market valuation. Companies should significantly redesign their supply chain strategy to gain the full benefits of digitization. It is not enough to decorate it with digital technology. The Internet of Things (IoT) occupies a significant position in digitalization as a highly transformational technology solution in the logistics sphere. The Internet of Things (IoT) is a network of interconnected computing devices that allows data to be sent over networks without human input. It assists businesses in monitoring inventory, managing warehouse stock, optimizing fleet routes, and reducing dead miles. Artificial Intelligence Advanced Artificial Intelligence solutions have several uses in the supply chain, particularly in the warehousing area. The procurement process involves using gesture recognition solutions instead of keyboard and mouse. It also includes self-driving vehicles, which are designed to navigate without human assistance. In the supply chain, the concept of robotics and automation is widely implemented. The new generation of robots is easier to program, more flexible, and more affordable. Their job is to help employees with repetitive and physically challenging tasks. Enhanced Supply Chain Visibility Proper supply chain data analysis can significantly boost business forecasting and decision-making. It can also optimize the use of inventory management, storage, and transportation resources. Supply chain visibility provides information on what is happening at each stage of the supply chain. It is crucial for the overall efficiency of the supply chain process, which includes sourcing, manufacturing, transportation, and delivery. Real-time inventory management is one of the advantages of enhanced chain visibility. It uses mobile point-of-sale systems and sensors, and it elevates inventory management to a whole new level. For example, instead of paying for purchased goods at a store, customers can take the desired products and have the products immediately charged to their credit and debit cards. Furthermore, real-time inventory management allows for the replacement of goods as they are consumed. Circular Supply Chain The term "linear supply chain" refers to the traditional concept where goods travel in a straight line (from raw material to finished product). Modern logistics techniques are focused on the circular supply chain idea, which involves reusing previously, used products as raw materials. Reusing products and materials is referred to as reverse logistics, and it is a novel and innovative technique. It assists businesses in reducing administrative and transportation expenses, increasing sustainability, improving customer service and loyalty, creating value, and conserving resources. Used products can be kept in circulation if businesses work together with their suppliers and customers. More focus on Risk Management and Supply Chain Resiliency Without a doubt, companies must seriously consider supply chain risk management as a means to prepare for unfavorable circumstances. The increasing use of outsourcing, offshoring, product versatility, supply chain security, and significant interdependence across the supply chain highlights the need to deal with risks in the supply chain. However, no matter how solid the plan is, it cannot prevent errors from happening. Here's where supply chain resilience comes into play. It is an accurate indicator of a company's ability to survive disruptive circumstances. Visibility throughout the supply chain is necessary to detect disruptions, close collaboration with suppliers and distributors so that alternative supply routes can be found, and a good incident response plan to provide a course of action when disruption occurs are all steps that are important to make the supply chain more flexible and resilient. Use of SaaS in the Supply Chain The software-as-a-service (SaaS) Sapproach is growing in popularity in supply chain technology and logistics management and the growth of cloud computing. This is primarily due to SaaS's security and safety and the convenience of paying for precisely the services you require. Companies can avoid the high fixed costs of system maintenance, upgrades, and infrastructure-related expenditures by using SaaS. Supply chains are continuously evolving technology, and the diversity of employee skill sets is playing an essential role in this evolution. Organizations are becoming more conscious of changes in their market competition and continuously updating or even reinventing their market offering to maintain and develop their market positioning. Many companies are already turning to technology to improve their supply chain operations; however, before new systems are implemented and employees are upskilled to adapt to new ways of working, existing processes must be reviewed to eliminate waste activities from the supply chain, and data must be cleansed. To meet consumer demands, supply chains must be constantly checked for efficiency improvements and aligned with corporate strategy. At present, many organizations are reviewing the length of their supply chains, intending to minimize the overall size and bring supply chains closer to the organization or the end consumer, reduce risk exposure, eliminate waste, and align with corporate strategy. FAQ’s • What are the three foundations of supply chain? The three foundations of a supply chain are strategy, service, and cost. Aligning the strategy, service and cost is essential to support your company’s overall business growth and objectives. A good strategy along with good service and reduced costs helps in increasing profitability and customer satisfaction. • What are the pillars of supply chain? Plan, Source, Make, Deliver and Return are the pillars of supply chain. Planning involves strategies and methods to be planned, Sourcing means procuring raw materials and other services, Making means manufacturing, Deliver means ensuring that the products reach the customers on time and Return means post delivery customer support that is associated with all kinds of returned products. • Why supply chain management is important? The management of how goods and services evolve from raw materials to products sold to consumers is known as supply chain management. It includes the processes of transporting and storing raw materials, storing finished goods until they sell, and tracking where sold goods go so that you can use the data to boost future sales. A business with a well-managed supply chain can significantly reduce all operating costs associated with that chain, resulting in higher profits. 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