Supply Chain
Article | May 26, 2023
Supply chain peak season technology aids supply chain leaders in understanding their operations, unlocking insights, reviewing performance, and much more. In conjunction with the rise of e-commerce and ongoing demand for more products, faster service, and better supply chain performance, the entire year begins to take on the characteristics of supply chain peak season which traditionally has occurred during the time period after Labor Day through returns season in January.
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Supply Chain
Article | August 17, 2023
Automated supply chain planning maximizes efficiency and helps achieve long-term success by addressing challenges, highlighting the benefits, and offering insights to optimize business performance.
Contents
1 Supply Chain Planning System Efficiency Maximization
2 Key Steps of Supply Chain Planning to Boost Efficiency
2.1 Implement Advanced Analytics Tools
2.2 Streamline Communication and Collaboration
2.3 Automate Processes
2.4 Consistency in Performance Improvement
3 Overcoming Major Challenges in the Process to Maximize Efficiency
3.1 Resistance to Change
3.2 Legacy Systems and Siloed Data
3.3 Inadequate Funding
4 Conclusion
1 Supply Chain Planning System Efficiency Maximization
To compete and succeed in an ongoing complex and dynamic global market, companies must maximize the efficiency of their supply chain planning systems, which help manage the flow of goods and services from suppliers to customers, optimize resources and information to meet customer demands and minimize costs and risks. An adequate supply chain planning system can increase customer satisfaction, profitability, agility, and risk management. Moreover, by reducing costs, increasing productivity, and enhancing responsiveness to market demands, maximizing efficiency can help businesses remain competitive. As a result, businesses can gain a substantial competitive edge and position the organization for long-term success by optimizing their supply chain planning systems.
2 Key Steps of Supply Chain Planning to Boost Efficiency
Businesses can significantly boost efficiency in their supply chain planning by implementing advanced analytics tools, streamlining communication and collaboration, automating processes, and ensuring consistency in performance improvement.
2.1 Implement Advanced Analytics Tools
Implementing advanced analytics in supply chain planning is key to improve supply chain efficiency. Advanced analytics tools, including demand forecasting, production planning and inventory management, can help organizations leverage large volumes of data to extract insights that enable better decision-making. The insights can be used to optimize production planning, reducing costs and increasing efficiency. In addition, it also enables businesses to detect and respond to supply chain disruptions on operations.
2.2 Streamline Communication and Collaboration
Managing and streamlining communication becomes essential for supply chain businesses, as it leads to greater agility and enables pipelines to adapt to changes in organizational structures. Leveraging cloud-based communication platforms, video conferencing, and collaboration tools enable real-time information sharing and collaboration across different teams and stakeholders. By enhancing communication and collaboration, businesses can better align their supply chain objectives, reduce communication gaps, and enhance decision-making.
2.3 Automate Processes
The integration of technologies such as order processing, inventory management, and shipment tracking under warehouse automation and logistics automation produces a vast amount of data, making it challenging for businesses to process data manually. To enhance efficiency, automating supply chain planning processes has become essential. Automating the process has eliminated multitasking, including managing goods flow, tracking road progress, and ensuring safe delivery, which was previously required in the manual process. By automating processes, supply chain management can be streamlined, leading to reduced lead times, minimized costs, and improved efficiency.
2.4 Consistency in Performance Improvement
Improving the supply chain is not a one-time fix, but a process that must be reviewed and optimized frequently. By implementing technology, businesses can continuously collect and analyze warehouse inventory management performance to identify areas for further efficiency gains and improved order accuracy. In addition, establishing a framework for continuous optimization involves regular performance reviews, feedback mechanisms, and benchmarking against industry best practices to help identify and address inefficiencies.
3 Overcoming Major Challenges in the Process to Maximize Efficiency
3.1 Resistance to Change
Supply chain planning systems are hindered by change resistance. Employees may resist change who are comfortable with the status quo and adopt new technologies and processes less often. Organizations need a comprehensive change management plan to address stakeholder engagement, communication, and training. Implementing a change management plan starts with identifying the key stakeholders and involving them in planning to gain their buy-in and support for the changes, implementing the process of the changes using different channels to reach all stakeholders and in addition, developing training programs to prepare employees for the changes and enable them to use new technologies and processes effectively.
3.2 Legacy Systems and Silos Data
Data silos and a lack of supply chain visibility are two problems that can arise when legacy systems and data are used. It also adds roadblocks in maximizing efficiency through supply chain planning software. Investing in older systems makes it challenging to gain a comprehensive view of the supply chain and informed decisions making. In addition, the systems are non-compatible with modern technology and data is stored in disconnected systems. With the help of an integrated system, all relevant information can be collected in one place, streamlining monitoring and decision-making. A data governance policy should be implemented to guarantee data quality and uniformity across all platforms. Data management, data storage, data sharing, regular monitoring and reporting on data quality are all essential components of this policy.
3.3 Inadequate Funding
Insufficient funding can affect supply chain planning system efficiency; with budget constraints, organizations may struggle to invest in new technologies, hire skilled workers, or improve processes. Thus, the supply chain planning system may become obsolete, increasing costs, lead times, and customer dissatisfaction. To overcome the challenge of inadequate funding in supply chain planning, organizations must prioritize funding and strategically allocate resources by identifying the areas that require the most investment. Exploring alternative funding sources, such as grants and partnerships, can supplement existing funding and enable organizations to invest in vital initiatives that may not have been possible with limited resources. In addition, cost-cutting measures, such as process optimization and automation, can help to stretch existing funds and boost productivity.
4 Conclusion
The supply chain planning system will continue to play a critical role in maximizing efficiency to revolutionize the supply chain professionals leverage emerging technologies such as AI, ML, and blockchain; understanding the process, identifying the challenges and overcoming them using the right strategies helps businesses in effective supply chain planning systems, gain a competitive advantage, improve supply chain performance and position themselves for long-term success. Furthermore, adopting a data-driven approach and a culture of continuous improvement in supply chain management planning can help organizations plan according to the future of supply chain and compete in the ever-changing global market.
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Warehousing and Distribution
Article | July 11, 2023
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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Supply Chain
Article | May 22, 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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