Warehousing and Distribution
Article | July 17, 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.
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Warehousing and Distribution
Article | July 11, 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.
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Warehousing and Distribution
Article | June 27, 2023
The complex, hyper-connected nature of global supply chains makes them extremely vulnerable to a range of risk factors. In 2019, corporations experienced new levels of volatility in commodity and energy pricing, interest and exchange rates, and general international trading conditions. In 2020, things are likely to remain rocky. Research shows that many businesses, despite being forewarned about these risks, are still tending to be reactive rather than proactive in their approach.
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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. The main goal of effective supply chain management is to increase profitability by improving customer satisfaction and reducing business costs.
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