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The supply chain that sees ahead

Supply chains have gotten pretty good over the last 20 years. But they can get much, much better, audiences will hear this week at the CAR Management Briefing Seminars. The new magic is 2018-age computing power. Artificial intelligence, advanced software platforms, and the latest tools in data collection and Internet tracking are making it easier to know, more or less, where everything is in real time. And more important, logistics managers will be able to predict more precisely where everything is going to be.

Spotlight

Peterbilt Motors Company

Peterbilt Motors Company is a leader in the design, engineering and manufacturing of premium medium- and heavy-duty commercial vehicles. Peterbilt, a PACCAR Company (NASDAQ: PCAR), is headquartered in Denton, Texas, where its primary manufacturing facility is also located. Peterbilt is globally recognized for superior quality, industry leading design, innovative engineering and advanced technology solutions. Throughout its 75-plus year history, Peterbilt has earned its reputation as the "Class"​ of the industry.

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Warehousing and Distribution

Transform Supply Chain with Effective Demand Forecasting Techniques

Article | July 11, 2023

Efficient demand forecasting techniques transform supply chain management, help optimize inventory levels, streamline operations, improve customer satisfaction, and achieve a competitive edge. Contents 1. How Accurate Demand Forecasting Impacts Business Operations and Profitability? 2. Navigating the Pitfalls of Traditional Demand Forecasting 2.1 Limitations of Manual Forecasting Methods 2.2 Inaccuracy and Inconsistency in Demand Prediction 2.3 Multiple Products and Markets Challenges 2.4 Influence of External Factors on Demand Forecasting 3. Advanced Demand Forecasting Techniques for Supply Chain Management 3.1 Statistical Forecasting 3.2 Collaborative Demand Planning 3.3 Demand Sensing and Real-time Data Analytics 3.4 Agile Supply Chain Management Practices 4 Summing up 1. How Accurate Demand Forecasting Impacts Business Operations and Profitability? Accurate demand forecasting plays a vital role in determining the operations and profitability of a business. By anticipating future demand, companies can more effectively plan their production, inventory management, and supply chain activities to meet customer needs while minimizing costs. Additionally, accurate demand forecasting can aid businesses in enhancing customer satisfaction by proactively meeting customer needs and expectations, improving customer experiences and increasing customer loyalty. To generate actionable insights that drive informed decision-making, businesses must leverage advanced analytics and predictive modeling techniques that combine data from various sources with industry-specific knowledge and expertise. “Businesses that leverage advanced analytics and predictive modeling techniques for demand forecasting report an average of 5% improvement in their supply chain efficiency.” (Source: A survey by Deloitte) Supply chain businesses frequently rely on sales data from the past, which may not be sufficient in the complex and rapidly changing business environment. Businesses might not observe an improvement in operations and profitability if they rely solely on conventional methods. 2. Navigating the Pitfalls of Traditional Demand Forecasting As businesses strive to optimize their supply chain operations and meet customer demand, traditional demand forecasting methods can often hinder their efforts. In this context, it is essential to navigate the pitfalls of such techniques to achieve success in supply chain management. 2.1 Limitations of Manual Forecasting Methods Manual forecasting methods have limitations that can affect demand forecasting accuracy in supply chain management. Frequently based on historical data, these methods can overlook emerging trends in supply chain management and alterations in customer behavior. In addition, manual processes are time-consuming, prone to error, and incapable of incorporating real-time supply chain data. As a result, businesses struggle to optimize supply chain operations and meet customer demand. In addition, traditional forecasting methods can influence the ability to accurately predict demand, resulting in overstocked inventory, delivery delays, and, ultimately, poor customer satisfaction. Inaccurate demand forecasts can also result in poor purchasing decisions and increased carrying costs, negatively impacting profitability. 2.2 Inaccuracy and Inconsistency in Demand Prediction Inaccuracy and inconsistency in demand forecasting pose significant obstacles in managing the supply chain. This is the case in the dynamic business environment, where market conditions can change rapidly, making it challenging for companies to keep up with shifting demand patterns. As traditional demand forecasting methods depend heavily on historical data, they produce inaccurate forecasts that do not reflect real-time market changes. In addition, inconsistency in demand forecasting can also result in a mismatch between supply and demand, leading to missed opportunities or excess inventory. As a result, creating an effect on company’s bottom line in addition to customer satisfaction. 2.3 Multiple Products and Markets Challenges Accurate demand forecasting is crucial to the success of supply chain management. When there are multiple products and markets to manage, it becomes a challenge for traditional demand forecasting. Different products and markets may have varying demand patterns and drivers, making it difficult for businesses to accurately forecast demand. Manual processes and siloed data can hinder visibility and the ability to identify cross-product or cross-market trends, making supply chain optimization operations and meeting customer demand more complex. Managing multiple products and markets is one of the challenges of traditional demand forecasting when businesses operate in various markets with varying customer preferences and demand patterns for products. 2.4 Influence of External Factors on Demand Forecasting External factors can significantly impact the demand forecasting accuracy for supply chain optimization. These factors are often unpredictable, and conventional methods may not account for them. The external factors affecting the supply chain include natural disasters, economic recessions, and sudden changes in consumer behavior. In addition, political and regulatory modifications, such as tariffs or trade agreements, can affect the supply and demand of particular products. Therefore, businesses must incorporate these external factors into their demand forecasting models and advance the process, as traditional demand forecasting methods cannot predict accurate future demand patterns and ensure optimal supply chain operations. 3. Advanced Demand Forecasting Techniques for Supply Chain Management To avoid the above-mentioned pitfalls, companies need to adopt advanced demand forecasting techniques that enable capturing and analyzing huge data from various sources to generate accurate and real-time demand forecasts. 3.1 Statistical Forecasting Statistical forecasting is an advanced method for demand forecasting in supply chain management that utilizes complex algorithms and statistical models to analyze historical data, identify trends, and generate forecasts. This method employs numerous statistical techniques, including regression analysis, time-series analysis, and exponential smoothing, among others. Statistical forecasting can help businesses overcome some of the limitations of traditional manual forecasting methods because it is more objective, data-driven, and capable of identifying trends and patterns which are not apparent with manual forecasting methods. As a result, by utilizing statistical forecasting, businesses can increase demand forecasting accuracy, optimize inventory management, and better align supply and demand, resulting in enhanced customer satisfaction, greater efficiency, and lower costs. 3.2 Collaborative Demand Planning Collaborative Demand Planning combines intensive forecasting algorithms to predict future demand and a set of ML techniques to achieve better demand forecasting. It involves collaboration between suppliers, customers, and other stakeholders. The advanced data and insights sharing technique improve the comprehensive understanding of demand drivers and trends, leading to more accurate demand forecasting. The collaborative approach enables real-time adjustments to demand forecasts, which can help businesses respond promptly to market conditions and customer demand changes. In addition, using advanced analytics and machine learning algorithms can help identify patterns and trends that would otherwise go unnoticed. That enables businesses to optimize inventory levels, reduce under and overstocking, and enhance customer service levels. In the dynamic business environment, it helps transform the supply chain that is better equipped to meet the ever-changing demands of customers. 3.3 Demand Sensing and Real-time Data Analytics Demand Sensing and Real-time Data Analytics are advanced demand forecasting techniques that can assist businesses in overcoming the challenges that multiple products and markets pose to the supply chain. By utilizing real-time data from various sources, such as social media, point-of-sale systems, and weather reports, businesses can better understand customer demand patterns, adjust inventory and production planning, reduce delay, and increase responsiveness. In addition to implementing demand sensing, businesses can begin with sell-in data obtained from supply chain planning or an ERP system in supply chain management and then incorporate all relevant data sources and external factors to broaden the forecasting horizon. 3.4 Agile Supply Chain Management Practices Agile supply chain management practices are a collection of methodologies and strategies emphasizing supply chain operations' adaptability, responsiveness, and flexibility. These practices involve utilizing real-time data analytics, collaborative planning, and other advanced technologies to enable businesses to respond swiftly to changes in customer demand, market conditions, and other external factors. Adopting an agile model allows the organization to act swiftly and decisively and achieve successful business outcomes despite adverse conditions. Agile supply chain management practices can give companies greater visibility and control over their supply chains, enabling them to adapt more effectively and efficiently to fluctuating market conditions in the context of external factors influencing demand forecasting. By cultivating a culture of continuous improvement, innovation, and customer value, agile supply chain management practices have the potential to transform into modern supply chain. 4. Summing up Demand forecasting accuracy is crucial for supply chain management and profitability. Manual forecasting methods hinder operational optimization and customer demand fulfillment. Customer satisfaction, purchasing decisions, and carrying costs suffer from inaccurate forecasting. In order to avoid these pitfalls, businesses can leverage statistical forecasting and collaborative demand. These methods recognize trends and patterns, optimize inventory levels, reduce over- and under-stocking, and improve customer service using advanced analytics and machine learning algorithms. As the supply chain evolves and becomes more complex, businesses must adopt advanced demand forecasting techniques. Implementing these techniques will enable businesses to optimize their supply chain management by better-aligning supply and demand, resulting in increased productivity, decreased costs, and ultimately increased profits.

Read More
Warehousing and Distribution

4 features to look for when buying a quality warehouse order picking cart

Article | June 16, 2023

Order picking is the most resource-intensive operation of a warehouse or fulfillment center. More than 55% of the operating cost for a warehouse is related to order picking, and fulfillment centers, the number stands at 50%. It is the process that can bring in the most cost savings with an effective, streamlined and efficient order picking system. One of the most important components of your order picking system is the warehouse order picking cart. Order picking carts are used to move inventory from the warehouse shelves to sorting or packing stations. They make it easier for warehouse associates to carry multiple items at a time or to carry large, unwieldy items. When it is possible to carry multiple items on a trip, it drastically reduces the distance traveled by associates on foot. It also helps to reduce physical fatigue and improves efficiency dramatically.

Read More
Transportation

4 Ways of Using Advanced Analytics in Supply Chain Management

Article | April 26, 2023

The complexity of today’s supply chain has resulted in a highly fragmented supply chain ecosystem. Whether it is a global pandemic or an ongoing war, streamlining the moving parts in the supply chain management system is an immense feat in the current climate. The resulting shortage of materials, disruption of transportation, and delays have complicated the supply chain even further. Add to it the expectation to minimize expenses, optimize inventory, and enable quality and customer expectations, and stakeholders at every level of the supply chain are inundated with challenges. This is where using advanced analytics in supply chain can be a game changer for many manufacturers. It can help them gain a deeper insight into their operations and how the supply chain is moving. How Supply Chain Analytics Enriches Supply Chain Management A 360-degree view of the supply chain is crucial for supply chain leaders. A lack of insight can cause costly delays and avoidable disruptions. Obtaining complete visibility in supply chain management, on the other hand, can be difficult. The immense volume of data that many organizations have to deal with makes it difficult to gain proper insight. Supply chain analytics tools help in gaining a better sense of the aggregated data from different parts of the supply chain, such as procurement, ERP in supply chain management, warehousing management, shipping and logistics management, and many more. The more accurate the data is, the simpler it is to use advanced supply chain management analytics to forecast, predict, and plan better in order to maximize the supply chain’s capabilities. Optimizing the Supply Chain: 3 Ways to Do so with Analytics With the range of analytics applications in supply chain in use today, manufacturers have the opportunity to completely transform how to view, manage and strategize. Here are five data analytics supply chain tools to consider in the pursuit of optimization. Demand Forecasting Inventory management is at the heart of supply chain optimization. Not calibrating the inventory stock based on demand and supply for bestselling products and those that don’t move fast can cause either an overstocking or understocking problem. Either way, forecasting the right balance is difficult to achieve, but data analytics can make it simpler. The lack of the right products in stock can heavily impact the bottom line. According to a survey by Logility, 36% of supply chain experts consider inventory optimization the primary reason for adopting analytics. An integrated mapping of retail sales, inventory levels, and the flow of goods will lead to accurate demand forecasting. This data can empower organizations to: Strategize sales promotions Define product pricing Maximize budgets Predict accurate inventory levels Inventory management has a cascading effect on the supply chain, and advanced demand forecasting has helped many organizations achieve an optimum level of inventory for the right products. Predictive Warehousing Maintenance Machine Learning (ML), artificial intelligence (AI), and the Internet of Things (IoT) have been emerging technologies on the supply chain management landscape. By using a mix of these technologies, it is possible for manufacturers to deploy predictive maintenance in warehousing. Predictive maintenance is the process of assessing data generated from the past and in real-time to determine patterns and identify equipment failure and maintenance schedule before a breakdown occurs. This helps manufacturers to: Avoid heavy repair costs Plan spare part supply Slash downtime from equipment failure Eliminate production delays In addition to reducing production bottlenecks, predictive maintenance gives businesses the ability to manage their equipment and optimize their shelf-life. Warehousing Efficiency At the warehouse phase of the supply chain, analytics can help manage the supply chain in more than just one way. The warehouse workflow is just as crucial, as it facilitates a clear view of the condition of goods as well as the optimization of the warehouse space. In addition to warehouse space maximization, quality control is another challenge that warehousing management addresses. Supply chain analytics can enhance warehousing efficiency by: Ensuring the correct storage of goods based on their weight, fragility, and perishability Aligning with resource management like equipment, vehicles Identifying disruptions to storage before they occur One of the advantages of supply chain analytics is getting a deep insight into the warehouse’s operation so manufacturers can identify gaps and take steps to make it more efficient. Transportation Tracking Real-time analytics of transportation and logistics is a crucial piece in the puzzle of supply chain management. For example, the data generated in relation to fuel consumption, weather conditions, and even traffic patterns can help organizations boost their logistics and carrier management. It can help them to: Schedule deliveries Determine better routes Evaluate current routes Strategize their shipping schedule To Wrap it Up To put it simply, a deep insight into the supply chain, inventory management, and warehouse operations is a great way to ensure the supply chain is on track. Effective supply chain management software is an asset for an organization when it is able to leverage the insights and make well-informed strategies to further optimize the supply chain.

Read More
Software and Technology, Logistics

Predicting the Future of the Logistics Industry

Article | July 8, 2022

Introduction From warehouse robots to delivery drones, the supply chain is experiencing a tremendous upheaval. AI promises a totally autonomous and self-organized future supply chain. A fleet of vehicles utilizing a swarm algorithm can enhance cargo yard throughput; a trusted peer-to-peer ledger on blockchain architecture could change compliance in the sector; and wearables, mobile robotics, and machine learning technologies could speed up order fulfilment. IOT e-brokerage solutions can link shops to couriers and transporters with a click. Tomorrow's supply chain will be leaner, quicker, and self-organized. A few innovative technologies will fuel this unparalleled rate of change over the next 15 years. Here are the major technologies that are shaping the future of the logistics industry. Logistics Technologies for the Future Shipment Tracking Systems Previously, customers ordered shipments, had an anticipated arrival date, and then were kept in the dark until they chose to call. Customers can now access shipping and tracking systems around-the-clock due to developments in the internet and software. This not only enhances the customer experience (cx), but it also saves the business time and money. Internet of Things (IoT) The IoT reduces costs and delays by minimizing hazards in the supply chain. Cabs, cargo ships, trains, etc., have sensors that link to an alarm system or dispatcher. These sensors analyze and communicate information to the crew, who learns about hidden threats. IoT isn't a new technology, but it continues to influence logistics by improving in-transit visibility and delivery. Radio Frequency Identification (RFID) RFID technology has been used for a few years to monitor inventories labor-efficiently. A product tag or sensor produces radio waves. The company processes the data. RFID tags are similar to barcodes, but their faster information transport and data processing appeal to companies and the direction of technology. Many organizations use RFID tags to track containers in warehouses. Enhanced GPS Accuracy Almost everyone utilizes GPS on their vehicles or smartphones. These devices' accuracy has improved over time, assisting lost drivers and enhancing the supply chain. By monitoring truck locations and boosting hauls with current traffic data, GPS increases efficiency and customer satisfaction. Closing Lines Unprecedented times have produced unprecedented transformations that will last for generations. Changing demographics, technology improvements, and COVID-19 impacts are altering global supply networks. We must understand the driving factors and act on what we learn to adapt and rise to the situation. For the sake of our current workforce and future generations.

Read More
Warehousing and Distribution

Top Certifications for Distribution & Warehousing Logistics Professionals

Article | July 11, 2023

Efficient demand forecasting techniques transform supply chain management, help optimize inventory levels, streamline operations, improve customer satisfaction, and achieve a competitive edge. Contents 1. How Accurate Demand Forecasting Impacts Business Operations and Profitability? 2. Navigating the Pitfalls of Traditional Demand Forecasting 2.1 Limitations of Manual Forecasting Methods 2.2 Inaccuracy and Inconsistency in Demand Prediction 2.3 Multiple Products and Markets Challenges 2.4 Influence of External Factors on Demand Forecasting 3. Advanced Demand Forecasting Techniques for Supply Chain Management 3.1 Statistical Forecasting 3.2 Collaborative Demand Planning 3.3 Demand Sensing and Real-time Data Analytics 3.4 Agile Supply Chain Management Practices 4 Summing up 1. How Accurate Demand Forecasting Impacts Business Operations and Profitability? Accurate demand forecasting plays a vital role in determining the operations and profitability of a business. By anticipating future demand, companies can more effectively plan their production, inventory management, and supply chain activities to meet customer needs while minimizing costs. Additionally, accurate demand forecasting can aid businesses in enhancing customer satisfaction by proactively meeting customer needs and expectations, improving customer experiences and increasing customer loyalty. To generate actionable insights that drive informed decision-making, businesses must leverage advanced analytics and predictive modeling techniques that combine data from various sources with industry-specific knowledge and expertise. “Businesses that leverage advanced analytics and predictive modeling techniques for demand forecasting report an average of 5% improvement in their supply chain efficiency.” (Source: A survey by Deloitte) Supply chain businesses frequently rely on sales data from the past, which may not be sufficient in the complex and rapidly changing business environment. Businesses might not observe an improvement in operations and profitability if they rely solely on conventional methods. 2. Navigating the Pitfalls of Traditional Demand Forecasting As businesses strive to optimize their supply chain operations and meet customer demand, traditional demand forecasting methods can often hinder their efforts. In this context, it is essential to navigate the pitfalls of such techniques to achieve success in supply chain management. 2.1 Limitations of Manual Forecasting Methods Manual forecasting methods have limitations that can affect demand forecasting accuracy in supply chain management. Frequently based on historical data, these methods can overlook emerging trends in supply chain management and alterations in customer behavior. In addition, manual processes are time-consuming, prone to error, and incapable of incorporating real-time supply chain data. As a result, businesses struggle to optimize supply chain operations and meet customer demand. In addition, traditional forecasting methods can influence the ability to accurately predict demand, resulting in overstocked inventory, delivery delays, and, ultimately, poor customer satisfaction. Inaccurate demand forecasts can also result in poor purchasing decisions and increased carrying costs, negatively impacting profitability. 2.2 Inaccuracy and Inconsistency in Demand Prediction Inaccuracy and inconsistency in demand forecasting pose significant obstacles in managing the supply chain. This is the case in the dynamic business environment, where market conditions can change rapidly, making it challenging for companies to keep up with shifting demand patterns. As traditional demand forecasting methods depend heavily on historical data, they produce inaccurate forecasts that do not reflect real-time market changes. In addition, inconsistency in demand forecasting can also result in a mismatch between supply and demand, leading to missed opportunities or excess inventory. As a result, creating an effect on company’s bottom line in addition to customer satisfaction. 2.3 Multiple Products and Markets Challenges Accurate demand forecasting is crucial to the success of supply chain management. When there are multiple products and markets to manage, it becomes a challenge for traditional demand forecasting. Different products and markets may have varying demand patterns and drivers, making it difficult for businesses to accurately forecast demand. Manual processes and siloed data can hinder visibility and the ability to identify cross-product or cross-market trends, making supply chain optimization operations and meeting customer demand more complex. Managing multiple products and markets is one of the challenges of traditional demand forecasting when businesses operate in various markets with varying customer preferences and demand patterns for products. 2.4 Influence of External Factors on Demand Forecasting External factors can significantly impact the demand forecasting accuracy for supply chain optimization. These factors are often unpredictable, and conventional methods may not account for them. The external factors affecting the supply chain include natural disasters, economic recessions, and sudden changes in consumer behavior. In addition, political and regulatory modifications, such as tariffs or trade agreements, can affect the supply and demand of particular products. Therefore, businesses must incorporate these external factors into their demand forecasting models and advance the process, as traditional demand forecasting methods cannot predict accurate future demand patterns and ensure optimal supply chain operations. 3. Advanced Demand Forecasting Techniques for Supply Chain Management To avoid the above-mentioned pitfalls, companies need to adopt advanced demand forecasting techniques that enable capturing and analyzing huge data from various sources to generate accurate and real-time demand forecasts. 3.1 Statistical Forecasting Statistical forecasting is an advanced method for demand forecasting in supply chain management that utilizes complex algorithms and statistical models to analyze historical data, identify trends, and generate forecasts. This method employs numerous statistical techniques, including regression analysis, time-series analysis, and exponential smoothing, among others. Statistical forecasting can help businesses overcome some of the limitations of traditional manual forecasting methods because it is more objective, data-driven, and capable of identifying trends and patterns which are not apparent with manual forecasting methods. As a result, by utilizing statistical forecasting, businesses can increase demand forecasting accuracy, optimize inventory management, and better align supply and demand, resulting in enhanced customer satisfaction, greater efficiency, and lower costs. 3.2 Collaborative Demand Planning Collaborative Demand Planning combines intensive forecasting algorithms to predict future demand and a set of ML techniques to achieve better demand forecasting. It involves collaboration between suppliers, customers, and other stakeholders. The advanced data and insights sharing technique improve the comprehensive understanding of demand drivers and trends, leading to more accurate demand forecasting. The collaborative approach enables real-time adjustments to demand forecasts, which can help businesses respond promptly to market conditions and customer demand changes. In addition, using advanced analytics and machine learning algorithms can help identify patterns and trends that would otherwise go unnoticed. That enables businesses to optimize inventory levels, reduce under and overstocking, and enhance customer service levels. In the dynamic business environment, it helps transform the supply chain that is better equipped to meet the ever-changing demands of customers. 3.3 Demand Sensing and Real-time Data Analytics Demand Sensing and Real-time Data Analytics are advanced demand forecasting techniques that can assist businesses in overcoming the challenges that multiple products and markets pose to the supply chain. By utilizing real-time data from various sources, such as social media, point-of-sale systems, and weather reports, businesses can better understand customer demand patterns, adjust inventory and production planning, reduce delay, and increase responsiveness. In addition to implementing demand sensing, businesses can begin with sell-in data obtained from supply chain planning or an ERP system in supply chain management and then incorporate all relevant data sources and external factors to broaden the forecasting horizon. 3.4 Agile Supply Chain Management Practices Agile supply chain management practices are a collection of methodologies and strategies emphasizing supply chain operations' adaptability, responsiveness, and flexibility. These practices involve utilizing real-time data analytics, collaborative planning, and other advanced technologies to enable businesses to respond swiftly to changes in customer demand, market conditions, and other external factors. Adopting an agile model allows the organization to act swiftly and decisively and achieve successful business outcomes despite adverse conditions. Agile supply chain management practices can give companies greater visibility and control over their supply chains, enabling them to adapt more effectively and efficiently to fluctuating market conditions in the context of external factors influencing demand forecasting. By cultivating a culture of continuous improvement, innovation, and customer value, agile supply chain management practices have the potential to transform into modern supply chain. 4. Summing up Demand forecasting accuracy is crucial for supply chain management and profitability. Manual forecasting methods hinder operational optimization and customer demand fulfillment. Customer satisfaction, purchasing decisions, and carrying costs suffer from inaccurate forecasting. In order to avoid these pitfalls, businesses can leverage statistical forecasting and collaborative demand. These methods recognize trends and patterns, optimize inventory levels, reduce over- and under-stocking, and improve customer service using advanced analytics and machine learning algorithms. As the supply chain evolves and becomes more complex, businesses must adopt advanced demand forecasting techniques. Implementing these techniques will enable businesses to optimize their supply chain management by better-aligning supply and demand, resulting in increased productivity, decreased costs, and ultimately increased profits.

Read More
Warehousing and Distribution

Drive Insights from Upcoming Warehousing Conferences and Events

Article | June 16, 2023

Order picking is the most resource-intensive operation of a warehouse or fulfillment center. More than 55% of the operating cost for a warehouse is related to order picking, and fulfillment centers, the number stands at 50%. It is the process that can bring in the most cost savings with an effective, streamlined and efficient order picking system. One of the most important components of your order picking system is the warehouse order picking cart. Order picking carts are used to move inventory from the warehouse shelves to sorting or packing stations. They make it easier for warehouse associates to carry multiple items at a time or to carry large, unwieldy items. When it is possible to carry multiple items on a trip, it drastically reduces the distance traveled by associates on foot. It also helps to reduce physical fatigue and improves efficiency dramatically.

Read More
Transportation

Enhancing Supply Chain Optimization with Emerging Technologies

Article | April 26, 2023

The complexity of today’s supply chain has resulted in a highly fragmented supply chain ecosystem. Whether it is a global pandemic or an ongoing war, streamlining the moving parts in the supply chain management system is an immense feat in the current climate. The resulting shortage of materials, disruption of transportation, and delays have complicated the supply chain even further. Add to it the expectation to minimize expenses, optimize inventory, and enable quality and customer expectations, and stakeholders at every level of the supply chain are inundated with challenges. This is where using advanced analytics in supply chain can be a game changer for many manufacturers. It can help them gain a deeper insight into their operations and how the supply chain is moving. How Supply Chain Analytics Enriches Supply Chain Management A 360-degree view of the supply chain is crucial for supply chain leaders. A lack of insight can cause costly delays and avoidable disruptions. Obtaining complete visibility in supply chain management, on the other hand, can be difficult. The immense volume of data that many organizations have to deal with makes it difficult to gain proper insight. Supply chain analytics tools help in gaining a better sense of the aggregated data from different parts of the supply chain, such as procurement, ERP in supply chain management, warehousing management, shipping and logistics management, and many more. The more accurate the data is, the simpler it is to use advanced supply chain management analytics to forecast, predict, and plan better in order to maximize the supply chain’s capabilities. Optimizing the Supply Chain: 3 Ways to Do so with Analytics With the range of analytics applications in supply chain in use today, manufacturers have the opportunity to completely transform how to view, manage and strategize. Here are five data analytics supply chain tools to consider in the pursuit of optimization. Demand Forecasting Inventory management is at the heart of supply chain optimization. Not calibrating the inventory stock based on demand and supply for bestselling products and those that don’t move fast can cause either an overstocking or understocking problem. Either way, forecasting the right balance is difficult to achieve, but data analytics can make it simpler. The lack of the right products in stock can heavily impact the bottom line. According to a survey by Logility, 36% of supply chain experts consider inventory optimization the primary reason for adopting analytics. An integrated mapping of retail sales, inventory levels, and the flow of goods will lead to accurate demand forecasting. This data can empower organizations to: Strategize sales promotions Define product pricing Maximize budgets Predict accurate inventory levels Inventory management has a cascading effect on the supply chain, and advanced demand forecasting has helped many organizations achieve an optimum level of inventory for the right products. Predictive Warehousing Maintenance Machine Learning (ML), artificial intelligence (AI), and the Internet of Things (IoT) have been emerging technologies on the supply chain management landscape. By using a mix of these technologies, it is possible for manufacturers to deploy predictive maintenance in warehousing. Predictive maintenance is the process of assessing data generated from the past and in real-time to determine patterns and identify equipment failure and maintenance schedule before a breakdown occurs. This helps manufacturers to: Avoid heavy repair costs Plan spare part supply Slash downtime from equipment failure Eliminate production delays In addition to reducing production bottlenecks, predictive maintenance gives businesses the ability to manage their equipment and optimize their shelf-life. Warehousing Efficiency At the warehouse phase of the supply chain, analytics can help manage the supply chain in more than just one way. The warehouse workflow is just as crucial, as it facilitates a clear view of the condition of goods as well as the optimization of the warehouse space. In addition to warehouse space maximization, quality control is another challenge that warehousing management addresses. Supply chain analytics can enhance warehousing efficiency by: Ensuring the correct storage of goods based on their weight, fragility, and perishability Aligning with resource management like equipment, vehicles Identifying disruptions to storage before they occur One of the advantages of supply chain analytics is getting a deep insight into the warehouse’s operation so manufacturers can identify gaps and take steps to make it more efficient. Transportation Tracking Real-time analytics of transportation and logistics is a crucial piece in the puzzle of supply chain management. For example, the data generated in relation to fuel consumption, weather conditions, and even traffic patterns can help organizations boost their logistics and carrier management. It can help them to: Schedule deliveries Determine better routes Evaluate current routes Strategize their shipping schedule To Wrap it Up To put it simply, a deep insight into the supply chain, inventory management, and warehouse operations is a great way to ensure the supply chain is on track. Effective supply chain management software is an asset for an organization when it is able to leverage the insights and make well-informed strategies to further optimize the supply chain.

Read More
Software and Technology, Logistics

Predicting the Future of the Logistics Industry

Article | July 8, 2022

Introduction From warehouse robots to delivery drones, the supply chain is experiencing a tremendous upheaval. AI promises a totally autonomous and self-organized future supply chain. A fleet of vehicles utilizing a swarm algorithm can enhance cargo yard throughput; a trusted peer-to-peer ledger on blockchain architecture could change compliance in the sector; and wearables, mobile robotics, and machine learning technologies could speed up order fulfilment. IOT e-brokerage solutions can link shops to couriers and transporters with a click. Tomorrow's supply chain will be leaner, quicker, and self-organized. A few innovative technologies will fuel this unparalleled rate of change over the next 15 years. Here are the major technologies that are shaping the future of the logistics industry. Logistics Technologies for the Future Shipment Tracking Systems Previously, customers ordered shipments, had an anticipated arrival date, and then were kept in the dark until they chose to call. Customers can now access shipping and tracking systems around-the-clock due to developments in the internet and software. This not only enhances the customer experience (cx), but it also saves the business time and money. Internet of Things (IoT) The IoT reduces costs and delays by minimizing hazards in the supply chain. Cabs, cargo ships, trains, etc., have sensors that link to an alarm system or dispatcher. These sensors analyze and communicate information to the crew, who learns about hidden threats. IoT isn't a new technology, but it continues to influence logistics by improving in-transit visibility and delivery. Radio Frequency Identification (RFID) RFID technology has been used for a few years to monitor inventories labor-efficiently. A product tag or sensor produces radio waves. The company processes the data. RFID tags are similar to barcodes, but their faster information transport and data processing appeal to companies and the direction of technology. Many organizations use RFID tags to track containers in warehouses. Enhanced GPS Accuracy Almost everyone utilizes GPS on their vehicles or smartphones. These devices' accuracy has improved over time, assisting lost drivers and enhancing the supply chain. By monitoring truck locations and boosting hauls with current traffic data, GPS increases efficiency and customer satisfaction. Closing Lines Unprecedented times have produced unprecedented transformations that will last for generations. Changing demographics, technology improvements, and COVID-19 impacts are altering global supply networks. We must understand the driving factors and act on what we learn to adapt and rise to the situation. For the sake of our current workforce and future generations.

Read More
MORE ARTICLES

Spotlight

Peterbilt Motors Company

Peterbilt Motors Company is a leader in the design, engineering and manufacturing of premium medium- and heavy-duty commercial vehicles. Peterbilt, a PACCAR Company (NASDAQ: PCAR), is headquartered in Denton, Texas, where its primary manufacturing facility is also located. Peterbilt is globally recognized for superior quality, industry leading design, innovative engineering and advanced technology solutions. Throughout its 75-plus year history, Peterbilt has earned its reputation as the "Class"​ of the industry.

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Logistics, Supply Chain, Transportation

AIT Worldwide Logistics Acquires Global Transport Solutions Group

Business Wire | February 05, 2024

AIT Worldwide Logistics, one of the world’s leaders in global supply chain solutions, has acquired Global Transport Solutions Group (GTS), a prominent international freight forwarder specializing in time-critical marine spare parts logistics. Headquartered in the Netherlands, GTS and its more than 600 teammates across 16 locations in Asia, Europe, the Middle East and North America, serve over 2,000 ports around the world. The GTS network also includes nine consolidation hubs totaling more than 45,000 square meters of warehouse space. AIT Chairman and Chief Executive Officer, Vaughn Moore, said, “I’d like to welcome our new GTS teammates to the global AIT network. This is the largest acquisition in our company’s history and GTS’ marine spare parts business is an excellent complement to AIT’s time-critical supply chain solutions.” The company’s business is divided into two sub-brands: Marinetrans (founded in 1991), excelling in “door-to-deck” spare parts logistics for ship owners and managers, and Best Global Logistics (founded in 2007), providing time-critical solutions and general forwarding for other industries, including life sciences shippers. According to AIT’s Chief Business Officer, Greg Weigel, the acquisition provides the company with new geographic presence in Greece, Japan and the Nordic region while adding significant capacity and subject matter expertise to existing AIT networks in China, the Netherlands and Singapore. The deal also provides a strong foundation to expand GTS’ world-class marine spare parts solutions via AIT’s expansive global freight network. “The acquisition of GTS creates an incredible portfolio of solutions serving the maritime industry with delivery of time-critical spare parts across all geographies. This is a perfect complement to AIT’s vertical strategies focused on expedited mission-critical services like our Critical Solutions Group, government and AOG team, and Life Sciences Division,” Weigel said. “We plan to rapidly invest and expand GTS’ North American operations by capitalizing on AIT’s robust salesforce in the United States and offering maritime customers a world-class spare parts logistics solution in every port.” AIT President and Chief Operating Officer, Keith Tholan, noted that the GTS core values – customer first, operational excellence, and partnership and collaboration – closely mirror AIT’s core values. “We are delighted to welcome GTS teammates to AIT,” Tholan said. “Their deep marine logistics expertise and three decades of proven on-time performance in a very demanding segment will complement the diverse solutions we offer across our vertical sector strategy. We also expect our best-in-class global air freight procurement will instantly benefit their time-critical operations.” According to GTS co-CEO John Burgstra, the acquisition is an opportunity for GTS to further expand their worldwide operations. “We aim to provide our clients an unrivaled experience when it comes to global visibility, transparency and on-time performance, fully unburdening them of the required logistical handling of their vessels’ spare parts,” he said. “We are excited about becoming part of a larger group and the global development opportunities this acquisition will provide for our teammates.” “Because of the highly fragmented and international nature of our clients’ requirements, they need a trusted partner with a vetted and effective global network,” added GTS co-CEO Vegard Prytz. “GTS will gain enormous benefits from leveraging the global AIT infrastructure, creating an even more integrated and seamless solution for clients around the world.”

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Logistics, Operations, Supply Chain

Metro Supply Chain Acquires SCI Group

PR Newswire | January 10, 2024

Metro Supply Chain Inc. ("Metro Supply Chain"), a strategic supply chain solutions partner to some of the world's fastest growing and most reputable organizations, is pleased to announce that it has entered into an agreement to acquire SCI Group Inc. ("SCI"), a leading Canadian third-party logistics (3PL) company, from Canada Post Corporation ("Canada Post") and Purolator Holdings Ltd. This transformational transaction is expected to close in the first quarter of 2024, subject to customary closing conditions, including the receipt of regulatory approvals. "We are thrilled about the prospect of acquiring SCI," said Chiko Nanji, Metro Supply Chain Founder and Group Chairman. "There is an excellent strategic fit between SCI and our existing operations and culture, and we are excited about the future as a combined entity. This acquisition will strengthen our position as a true champion in strategic contract logistics services." The combined entity, with deep Canadian roots and a shared focus on customers, will be ideally positioned to compete in the global supply chain sector. "The strategic alignment between Metro Supply Chain and SCI is strong. We look forward to leveraging our complementary strengths and shared emphasis on operational excellence to generate growth for clients in multiple sectors, including technology and healthcare, and expand our e–commerce offering," said Metro Supply Chain President and Chief Executive Officer Chris Fenton. "The addition of SCI to the Metro Supply Chain group will offer opportunities to enhance our expansion efforts south of the border." Headquartered in Québec, with significant regional support offices in the Greater Toronto Area and operations across Canada, the United States and United Kingdom, the combined entity will create a diversified supply chain solutions provider. Metro Supply Chain is highly engaged and committed to its people and the communities in which it operates. It is mindful of its social, economic and environmental impact and seeks ways to work more sustainably and create a positive impact on the planet, customers, teams and communities. Chris Galindo, President and CEO of SCI, will remain with the combined entity, ensuring the continuity of SCI's commitment to excellence. "There is a strong strategic alignment between Metro Supply Chain and SCI, from our strong people–first cultures to our focus on innovation, best-in-class systems, and contractual business models and complementary technology, client and vertical mix," explained Galindo. Metro Supply Chain is grateful to its existing and new financial partners, LDC Logistics Holdings Inc., CDPQ, Investissement Québec, and the National Bank of Canada, for their support in this transaction and the future growth of the combined entity. "With this 10th acquisition by Metro Supply Chain since it began working with CDPQ in 2018, the company is actively pursuing its strategic development plan," said Kim Thomassin, Executive Vice-President and Head of Québec at CDPQ. "We are proud to support the company in its efforts to strengthen its position as a Canadian leader, accelerate growth projects and expand activities, particularly in the United States and the United Kingdom." To support its global strategic vision, Metro Supply Chain has concluded an agreement with the Government of Québec through Investissement Québec, for an investment by way of a private placement in Metro Supply Chain. "To ensure the economic and sustainable development of Québec, it is essential that we be able to rely on Québec companies and robust supply chains. With this investment in Metro Supply Chain, we are helping a Québec company to become an international leader in the logistics sector," stated Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister Responsible for Regional Economic Development and Minister Responsible for the Metropolis and the Montréal Region. "This transaction aligns with Investissement Québec's mission to create a logistics champion and support its geographic expansion outside Québec. Metro Supply Chain is setting an example by making a significant investment to improve its productivity by automating its warehouses. The Covid-19 pandemic highlighted the importance of supply chains, which are an essential link in the Québec economy," said Guy LeBlanc, President and CEO of Investissement Québec. "Metro Supply Chain welcomes Investissement Québec as one of its new strategic partners and is very pleased to be able to count on the continued support of LDC Logistics Holdings Inc., CDPQ, the National Bank of Canada, as we pursue our global growth ambitions," stated Metro Supply Chain CFO Mathieu Descheneaux. "This strategic investment enables us to acquire high–quality companies like SCI to expand the range and depth of supply chain solutions we can offer." Together, Metro Supply Chain and SCI anticipate a bright future, delivering innovative supply chain solutions that meet the most challenging needs of their customers.

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Freight, Supply Chain

Kuehne+Nagel pioneers carbon insetting for electric trucks to accelerate fleet electrification

Kuehne+Nagel | January 08, 2024

The new year starts with electrifying news as Kuehne+Nagel announces its Book & Claim insetting solution for electric vehicles. This makes Kuehne+Nagel the first logistics service provider to launch this solution, which previously was limited to low-emission fuels. Implementing decarbonisation solutions and helping customers achieve their sustainability goals is a key component of Kuehne+Nagel’s Roadmap 2026 Living ESG cornerstone. Developing Book & Claim insetting solutions for road freight was a strategic priority for Kuehne+Nagel. Last October, it launched an insetting solution for HVO—now followed by electric vehicles. The first-of-its-kind solution has been tested and validated in cooperation with leading external stakeholders. Customers who use Kuehne+Nagel’s road transport services can now ‘claim’ the carbon reductions of electric trucks when it is not possible to physically move their goods on these vehicles. Reasons for that could be insufficient charging infrastructure or a limited driving range and payload. The solution helps to bridge those challenges which today still limit the deployment of electric trucks. “We see battery-Electric Vehicles (BEVs) as the future to reduce emissions in road freight. Carbon insetting supports the scale-up of low-emission solutions like BEVs and helps to reduce the premium that customers pay for these solutions, thereby supporting the decarbonisation of road transport,” says Hansjörg Rodi, Member of the Management Board at Kuehne+Nagel International AG, responsible for Road Logistics. For now, only Kuehne+Nagel’s owned BEVs are part of the Book & Claim offer to keep full control and transparency over the accuracy of the data that is used in the calculations. However, the team aims to expand the solution to BEVs operated by its partners so that it can support them in their fleet electrification journeys too. “Purchasing electric trucks can be a heavy financial burden, especially for smaller carriers. Including carriers in our solution requires further complex developments in the accounting methodology, but it would help them to finance their transition. This is our next priority,” concludes Rodi.

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Logistics, Supply Chain, Transportation

AIT Worldwide Logistics Acquires Global Transport Solutions Group

Business Wire | February 05, 2024

AIT Worldwide Logistics, one of the world’s leaders in global supply chain solutions, has acquired Global Transport Solutions Group (GTS), a prominent international freight forwarder specializing in time-critical marine spare parts logistics. Headquartered in the Netherlands, GTS and its more than 600 teammates across 16 locations in Asia, Europe, the Middle East and North America, serve over 2,000 ports around the world. The GTS network also includes nine consolidation hubs totaling more than 45,000 square meters of warehouse space. AIT Chairman and Chief Executive Officer, Vaughn Moore, said, “I’d like to welcome our new GTS teammates to the global AIT network. This is the largest acquisition in our company’s history and GTS’ marine spare parts business is an excellent complement to AIT’s time-critical supply chain solutions.” The company’s business is divided into two sub-brands: Marinetrans (founded in 1991), excelling in “door-to-deck” spare parts logistics for ship owners and managers, and Best Global Logistics (founded in 2007), providing time-critical solutions and general forwarding for other industries, including life sciences shippers. According to AIT’s Chief Business Officer, Greg Weigel, the acquisition provides the company with new geographic presence in Greece, Japan and the Nordic region while adding significant capacity and subject matter expertise to existing AIT networks in China, the Netherlands and Singapore. The deal also provides a strong foundation to expand GTS’ world-class marine spare parts solutions via AIT’s expansive global freight network. “The acquisition of GTS creates an incredible portfolio of solutions serving the maritime industry with delivery of time-critical spare parts across all geographies. This is a perfect complement to AIT’s vertical strategies focused on expedited mission-critical services like our Critical Solutions Group, government and AOG team, and Life Sciences Division,” Weigel said. “We plan to rapidly invest and expand GTS’ North American operations by capitalizing on AIT’s robust salesforce in the United States and offering maritime customers a world-class spare parts logistics solution in every port.” AIT President and Chief Operating Officer, Keith Tholan, noted that the GTS core values – customer first, operational excellence, and partnership and collaboration – closely mirror AIT’s core values. “We are delighted to welcome GTS teammates to AIT,” Tholan said. “Their deep marine logistics expertise and three decades of proven on-time performance in a very demanding segment will complement the diverse solutions we offer across our vertical sector strategy. We also expect our best-in-class global air freight procurement will instantly benefit their time-critical operations.” According to GTS co-CEO John Burgstra, the acquisition is an opportunity for GTS to further expand their worldwide operations. “We aim to provide our clients an unrivaled experience when it comes to global visibility, transparency and on-time performance, fully unburdening them of the required logistical handling of their vessels’ spare parts,” he said. “We are excited about becoming part of a larger group and the global development opportunities this acquisition will provide for our teammates.” “Because of the highly fragmented and international nature of our clients’ requirements, they need a trusted partner with a vetted and effective global network,” added GTS co-CEO Vegard Prytz. “GTS will gain enormous benefits from leveraging the global AIT infrastructure, creating an even more integrated and seamless solution for clients around the world.”

Read More

Logistics, Operations, Supply Chain

Metro Supply Chain Acquires SCI Group

PR Newswire | January 10, 2024

Metro Supply Chain Inc. ("Metro Supply Chain"), a strategic supply chain solutions partner to some of the world's fastest growing and most reputable organizations, is pleased to announce that it has entered into an agreement to acquire SCI Group Inc. ("SCI"), a leading Canadian third-party logistics (3PL) company, from Canada Post Corporation ("Canada Post") and Purolator Holdings Ltd. This transformational transaction is expected to close in the first quarter of 2024, subject to customary closing conditions, including the receipt of regulatory approvals. "We are thrilled about the prospect of acquiring SCI," said Chiko Nanji, Metro Supply Chain Founder and Group Chairman. "There is an excellent strategic fit between SCI and our existing operations and culture, and we are excited about the future as a combined entity. This acquisition will strengthen our position as a true champion in strategic contract logistics services." The combined entity, with deep Canadian roots and a shared focus on customers, will be ideally positioned to compete in the global supply chain sector. "The strategic alignment between Metro Supply Chain and SCI is strong. We look forward to leveraging our complementary strengths and shared emphasis on operational excellence to generate growth for clients in multiple sectors, including technology and healthcare, and expand our e–commerce offering," said Metro Supply Chain President and Chief Executive Officer Chris Fenton. "The addition of SCI to the Metro Supply Chain group will offer opportunities to enhance our expansion efforts south of the border." Headquartered in Québec, with significant regional support offices in the Greater Toronto Area and operations across Canada, the United States and United Kingdom, the combined entity will create a diversified supply chain solutions provider. Metro Supply Chain is highly engaged and committed to its people and the communities in which it operates. It is mindful of its social, economic and environmental impact and seeks ways to work more sustainably and create a positive impact on the planet, customers, teams and communities. Chris Galindo, President and CEO of SCI, will remain with the combined entity, ensuring the continuity of SCI's commitment to excellence. "There is a strong strategic alignment between Metro Supply Chain and SCI, from our strong people–first cultures to our focus on innovation, best-in-class systems, and contractual business models and complementary technology, client and vertical mix," explained Galindo. Metro Supply Chain is grateful to its existing and new financial partners, LDC Logistics Holdings Inc., CDPQ, Investissement Québec, and the National Bank of Canada, for their support in this transaction and the future growth of the combined entity. "With this 10th acquisition by Metro Supply Chain since it began working with CDPQ in 2018, the company is actively pursuing its strategic development plan," said Kim Thomassin, Executive Vice-President and Head of Québec at CDPQ. "We are proud to support the company in its efforts to strengthen its position as a Canadian leader, accelerate growth projects and expand activities, particularly in the United States and the United Kingdom." To support its global strategic vision, Metro Supply Chain has concluded an agreement with the Government of Québec through Investissement Québec, for an investment by way of a private placement in Metro Supply Chain. "To ensure the economic and sustainable development of Québec, it is essential that we be able to rely on Québec companies and robust supply chains. With this investment in Metro Supply Chain, we are helping a Québec company to become an international leader in the logistics sector," stated Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister Responsible for Regional Economic Development and Minister Responsible for the Metropolis and the Montréal Region. "This transaction aligns with Investissement Québec's mission to create a logistics champion and support its geographic expansion outside Québec. Metro Supply Chain is setting an example by making a significant investment to improve its productivity by automating its warehouses. The Covid-19 pandemic highlighted the importance of supply chains, which are an essential link in the Québec economy," said Guy LeBlanc, President and CEO of Investissement Québec. "Metro Supply Chain welcomes Investissement Québec as one of its new strategic partners and is very pleased to be able to count on the continued support of LDC Logistics Holdings Inc., CDPQ, the National Bank of Canada, as we pursue our global growth ambitions," stated Metro Supply Chain CFO Mathieu Descheneaux. "This strategic investment enables us to acquire high–quality companies like SCI to expand the range and depth of supply chain solutions we can offer." Together, Metro Supply Chain and SCI anticipate a bright future, delivering innovative supply chain solutions that meet the most challenging needs of their customers.

Read More

Freight, Supply Chain

Kuehne+Nagel pioneers carbon insetting for electric trucks to accelerate fleet electrification

Kuehne+Nagel | January 08, 2024

The new year starts with electrifying news as Kuehne+Nagel announces its Book & Claim insetting solution for electric vehicles. This makes Kuehne+Nagel the first logistics service provider to launch this solution, which previously was limited to low-emission fuels. Implementing decarbonisation solutions and helping customers achieve their sustainability goals is a key component of Kuehne+Nagel’s Roadmap 2026 Living ESG cornerstone. Developing Book & Claim insetting solutions for road freight was a strategic priority for Kuehne+Nagel. Last October, it launched an insetting solution for HVO—now followed by electric vehicles. The first-of-its-kind solution has been tested and validated in cooperation with leading external stakeholders. Customers who use Kuehne+Nagel’s road transport services can now ‘claim’ the carbon reductions of electric trucks when it is not possible to physically move their goods on these vehicles. Reasons for that could be insufficient charging infrastructure or a limited driving range and payload. The solution helps to bridge those challenges which today still limit the deployment of electric trucks. “We see battery-Electric Vehicles (BEVs) as the future to reduce emissions in road freight. Carbon insetting supports the scale-up of low-emission solutions like BEVs and helps to reduce the premium that customers pay for these solutions, thereby supporting the decarbonisation of road transport,” says Hansjörg Rodi, Member of the Management Board at Kuehne+Nagel International AG, responsible for Road Logistics. For now, only Kuehne+Nagel’s owned BEVs are part of the Book & Claim offer to keep full control and transparency over the accuracy of the data that is used in the calculations. However, the team aims to expand the solution to BEVs operated by its partners so that it can support them in their fleet electrification journeys too. “Purchasing electric trucks can be a heavy financial burden, especially for smaller carriers. Including carriers in our solution requires further complex developments in the accounting methodology, but it would help them to finance their transition. This is our next priority,” concludes Rodi.

Read More

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