Warehousing and Distribution
Article | June 16, 2023
Efficiency is crucial for B2B supply chain success. Effective supply chain management techniques can streamline operations, reduce costs, and enhance customer satisfaction from planning to delivery.
Contents
1. Strategic Planning to Enhance Supply Chain Optimization
1.1 Roadmap for Developing Supply Chain Optimization
1.2 Integrating Supply Chain Strategy with Business Strategy for ROI Growth
2. Effective Procurement Strategies to Maximise ROI in Supply Chain
2.1 Supplier Relationship Management
2.2 Cost-effective Procurement Processes
2.3 Continuous Improvement and Innovation
2.4 Risk Management and Mitigation
3. Optimizing Supply Chain with Effective Demand Forecasting Techniques
3.1 Anticipate Future Demand
3.2 Overstocking and Understocking Risk Management
3.3 Integrated Forecasting approach between Supply Chain Stakeholders
4. Emerging Technologies for Supply Chain Optimization Leveraged by Enterprises
4.1 AI and ML
4.2 Blockchain Technology
4.3 IoT
4.4 Augmented Reality and Virtual Reality
5. Leading Solution Providers for B2B
6. Conclusion
Optimizing the B2B logistics and supply chain management has become a crucial business strategy to increase efficiency, cut costs, and boost customer satisfaction in the fiercely competitive business environment. With the increasing customer demand, supply chain managers now emphasize on faster, more precise, and unique ways to fulfill orders with enhanced logistics management techniques.
“Companies that optimize their supply chain operations experience a 2.3 times greater EBITDA (earnings before interest, taxes, depreciation, and amortization) than their competitors.”
(Source - A survey by Deloitte in 2020)
Despite the significance of supply chain optimization, it is challenging to keep up with the latest industry trends and best practices due to the dynamic nature of the logistics industry. Learning the value of optimizing the B2B supply chain and how it can assist businesses in keeping up with the ever-growing demands of their customers through planning, strategizing and leveraging technologies helps businesses maintain a competitive advantage and achieve sustainable growth.
1. Strategic Planning to Enhance Supply Chain Optimization
To achieve optimal results, businesses must develop a comprehensive plan outlining their supply chain improvement goals, objectives, and strategies.
1.1 Roadmap for Developing Supply Chain Optimization
Developing a roadmap for supply chain optimization includes reviewing current operations that help in identifying the strengths and weakness of the supply chain management and assist in recognizing the opportunities for improvement, establishing SMART goals and objectives, defining strategies to meet these goals, involve streamlining processes, investing in technology, improving supplier relationships, and engaging customers and actions, as well as ensuring market adaptability to accommodate changing market conditions and evolving customer needs through assessment and adjusting the roadmap.
1.2 Integrating Supply Chain Strategy with Business Strategy for ROI Growth
Integration of the supply chain involves aligning the supply chain objectives with the overall business goals, such as revenue growth, cost reduction, and customer satisfaction. The integration ensures the supply chain operations support the business goals, like cost reduction, customer satisfaction and revenue growth.
"Companies that successfully integrate their supply chain and business strategies can reduce operating costs by 10-15% and increase efficiency by 20-30%.”
(Source - A study by Accenture in 2020)
The alignment further helps track KPIs and data-driven decision-making and continuously improves the supply chain operations to achieve objectives. Furthermore, it assists in better planning, coordination, and execution of supply chain activities, resulting in faster and more accurate fulfillment of customer orders.
2. Effective Procurement Strategies to Maximize ROI in Supply Chain
Procurement strategies can raise productivity in the fast-paced logistics management and supply chain industry by optimizing the supply chain, boosting efficiency, and giving a competitive edge.
2.1 Supplier Relationship Management
Effective supplier relationship management (SRM) can result in more competitive pricing, enhanced product quality, and increased dependability. To accomplish SRM, businesses must identify key suppliers, develop partnerships, communicate effectively to ensure clear expectations and mutual understanding, share information and collaborate to foster innovation and continuous improvement.
2.2 Cost-effective Procurement Processes
Implementing cost-effective procurement procedures can help businesses reduce expenses and enhance productivity. To achieve cost-effectiveness, businesses should streamline operations to save time and money, leverage technology to automate processes and improve accuracy and negotiate with suppliers for better pricing and terms.
2.3 Continuous Improvement and Innovation
Continuous improvement and innovation are necessary for logistics and the supply chain to remain competitive. This involves regularly reviewing and updating procurement processes, supporting supplier innovation, and keeping up with procurement and supply chain management technology trends and developments.
2.4 Risk Management and Mitigation
Effective risk management and mitigation strategies are essential to prevent disruptions in the supply chain. To achieve this, businesses should focus on identifying potential risks and developing mitigation strategies, incorporating redundancy into the supply chain to minimize the impact of disruptions, and establishing transparent emergency communication and escalation procedures.
3. Optimizing Supply Chain with Effective Demand Forecasting Techniques
3.1 Anticipate Future Demand
Accurate demand forecasting is crucial for supply chain optimizing done by analyzing real-time supply chain data to identify trends. For demand forecasting, businesses can utilize historical sales data, market trends, and customer feedback. To make accurate forecasts, companies must consider various factors influencing demand, such as seasonality, economic conditions, and shifting customer preferences.
3.2 Overstocking and Understocking Risk Management
Demand forecasting errors can lead to overstocking and understocking in supply chain management. Using demand forecasting rightly can determine the optimal inventory level at any given time to avoid overstocking and understocking. Businesses can predict demand and adjust inventory by analyzing sales data, market trends, and other factors.
3.3 Integrated Forecasting approach between Supply Chain Stakeholders
The integrated forecasting approach entails coordinating data sharing and communication between all supply chain stakeholders, from suppliers to customers. Stakeholder participation in demand forecasting improves accuracy. In addition, each stakeholder has unique knowledge and perspective that can help identify trends and patterns.
4. Emerging Technologies for Supply Chain Optimization Leveraged by Enterprises
4.1 AI and ML
Leading SCM providers do offer regression modeling and causal analysis for demand forecasting. Using AI and ML, the functionality is embedded within the DP module. If a more rigorous and sophisticated approach is desired, it is possible to forecast demand numbers outside the SCM system using sophisticated modeling and then upload them back into the SCM system.
4.2 Blockchain Technology
Blockchain enables secure, transparent, and decentralized transactions. It can be utilized in the supply chain to track the movement of goods, reduce the risk of fraud, and increase supply chain visibility by maintaining an immutable record of every transaction.
4.3 IoT
To monitor humidity, temperature control, and other environmental factors that affect the quality of products while in transit. IoT helps businesses enhance supply chain visibility, reduce product spoilage risk, and enhance customer satisfaction using modern temperature control technology.
4.4 Augmented Reality and Virtual Reality
AR and VR technologies are transforming the supply chain by improving the accuracy of inventory management, reducing errors, and enhancing the training of employees. In addition, its tools can be used to create digital representations of warehouses, products, and equipment, allowing employees to visualize the supply chain and identify areas for improvement.
5. Leading Solution Providers for B2B
Several leading B2B companies have been identified based on research for supply chain optimization. To optimize supply chains, these companies have demonstrated a commitment to strategic planning, effective procurement strategies, and demand forecasting techniques. The solution providers also recognize the significance of managing risks associated with overstocking and understocking and have implemented integrated forecasting approaches with their supply chain partners and customers. In addition, these companies use emerging technologies such as augmented reality, virtual reality, cloud technology, machine learning and AI, blockchain technology, and the IoT to improve their supply chain operations. By prioritizing supply chain optimization, the following B2B companies gain a competitive advantage within logistics and supply chain industries and provide exceptional customer experiences.
Coupa Software
The supply management solutions offered by Coupa Software are hosted in the cloud and make use of machine learning and artificial intelligence to provide businesses with insights that can be used for data-driven decision-making.It assists businesses in tracking the performance of their supply chains compared to key performance indicators, identifying areas in which advancements can be made, and taking action to optimize their supply chain operations.
Stord
Stord a platform provider, offers a suite of software solutions that improve supply chain management for businesses. Its warehousing, transport, and inventory management solutions are integrated into a single platform. As a result, Stord offers companies greater visibility and control over their supply chains, allowing them to make more informed decisions and optimize operations by combining these functions into a single platform.
Roambee
Roambee is an artificial intelligence (AI)-powered platform that provides improved supply chain and visibility solutions for real-time, on-demand, and end-to-end data. Using cloud data analytics and automation, it assists in monitoring shipments, inventories, and returnable assets to provide dependable and responsive monitoring solutions. The result is a return on investment (ROI) of 4X or more on the supply chain assets by optimizing inventory levels and utilization.
FlowSpace
FlowSpace offers cloud-based supply chain solutions. With an internet connection, businesses can access real-time inventory, orders, and shipments from anywhere. Its solutions optimize inventory and demand fulfillment with machine learning and predictive analytics. In addition, IoT sensors and beacons provide accurate warehouse operations data for the company. FlowSpace uses cutting-edge technology to provide efficient and effective supply chain solutions.
OPTEL Group
OPTEL Group's cutting-edge traceability solutions help businesses optimize their supply chain. These solutions permit businesses to track their products and materials throughout the supply chain, from production to distribution. It's traceability solutions provide businesses with real-time visibility into their supply chain operations by utilizing advanced data capture technologies such as barcode scanning, RFID, and serialization. This allows them to identify potential bottlenecks, optimize workflows, and decrease waste and inefficiency.
Blue Ridge
Blue Ridge,a provider of cloud-based supply chain solutions, has developed a suite of solutions that make use of machine learning and artificial intelligence to improve the accuracy of forecasts, reduce the costs associated with inventory, and increase company's profitability. It does this by providing businesses with flexible and scalable solutions, as well as ones that can be adapted to meet the particular requirements of each business.
GMDH Streamline
GMDH Streamline makes use of complex algorithms to perform data analysis and provide insights that, when implemented in B2B logistics operations, can lead to increased efficiency and a reduction in costs. This software can analyze past sales data and make predictions about future demand patterns, which helps to ensure that the right products are always available for purchase. Because of this, there will be less of a need for excessive stockpiling, which can prevent the free flow of capital and raise the risk of stock obsolescence.
Netstock
Netstock's cloud-based solutions provide businesses the agility and responsiveness they need to stay competitive in the ever-changing business landscape. With its seamless integration with industry-leading ERPs, Netstock unlocks valuable ERP data and enables businesses to make informed decisions based on enhanced analytics. In addition, by leveraging Netstock's solutions, businesses can respond swiftly to supply and demand fluctuations, resulting in optimized logistics and efficient supply chain management.
Solvoyo
With Solvoyo's platform, businesses can optimize their supply chain performance, reduce inefficiencies, and achieve cost savings. In addition, the platform offers advanced scenario modeling and real-time analytics to help companies to make informed decisions and quickly adapt to changing market conditions. By leveraging Solvoyo's capabilities, businesses can achieve a competitive advantage and drive growth in the dynamic world of supply chain management.
American Software, Inc.
American Software provides logistics and supply chain companies with supply chain management software solutions. Its solutions including supply chain planning, warehouse management, transportation management, global trade management, and vendor inventory management are intended to assist businesses in optimizing their B2B logistics operations, increasing their efficiency, and lowering their expenses. In addition, it provides modern temperature control technology to ensure safe and efficient transport of temperature-sensitive goods in the supply chain.
6. Conclusion
“The global supply chain management market size is expected to reach USD 37.4 billion at a CAGR of 11.3% by 2027."
(Source - Grand View Research)
The anticipated growth of the global supply chain management market presents businesses with opportunities to enhance their supply chain operations by implementing innovative technologies and strategies. The increase in market size indicates a growing demand for efficient supply chain management solutions that reduce costs, optimize efficiency, and improve customer satisfaction. Businesses can use AI, blockchain, and augmented reality to analyze real-time data, forecast demand, and streamline procurement. These technologies and strategies can give logistics and supply chain management businesses an edge in the increasingly competitive marketplace.
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Warehousing and Distribution
Article | July 11, 2023
Leveraging technology and resources within a network is key to supply chain optimization. While supply chains are inherently complex, this complexity can lead to significant technological benefits.
Contents
1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain
2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization
2.1 Autonomous Delivery
2.2 Cognitive Automation
2.3 Blockchain-enabled Traceability
2.4 Predictive Maintenance
3 Key Challenges in Adopting Emerging Technologies
3.1 Cost and Budget Constraints
3.2 Skills Gap in Talent
3.3 Privacy and Data Security Concerns
4 Overcoming Challenges
4.1 Adopting Technologies for Managing Budget and Cost
4.2 Developing Talent Pipeline
4.3 Implementing a Zero Trust Security Model
5 Future Outlook
Supply chain optimization involves maximizing the utilization of technology and resources within a supply network. Although supply chains are inherently complex, this complexity can yield significant technological advantages, particularly when leveraging the combination of blockchain, artificial intelligence (AI), and Internet of Things (IoT) technologies.
1 Overview and Importance of Emerging Technologies in Optimizing Supply Chain
Emerging technologies have transformed the supply chain industry and revolutionized business operations. AI, IoT, blockchain, and robotics are getting prominence with the ability to streamline supply chain processes, reduce costs, increase efficiency, and ultimately boost customer satisfaction. Implementing these technologies can give businesses real-time supply chain visibility, reducing waste and enhancing inventory management. Understanding the potential benefits of these emerging digital supply chain technologies and how they can be implemented within the supply chain is essential for any business that intends to stay in a competitive and rapidly evolving market.
2 Advantages of Incorporating Emerging Technologies in Enhancing Optimization
Blending operations with emerging supply chain technologies can significantly improve the speed and accuracy of information flow, minimize manual intervention, and reduce lead times. Additionally, these technologies can provide enhanced visibility into supply chain operations, enable effective risk management, and facilitate proactive decision-making.
2.1 Autonomous Delivery
Incorporating autonomous delivery that comes with self-driving vehicles benefits businesses beyond faster delivery times, lowers costs and reduces human error. It offers increased safety, greater flexibility, and improved resource management. It benefits industries like e-commerce and logistics, where quick and efficient delivery is crucial.
2.2 Cognitive Automation
Businesses face significant challenges due to unpredictable fluctuations in supply and demand, which can strain their existing technology. To mitigate these risks, executives have increased their investments in risk management. Cognitive automation offers three key benefits in supply chain management: identifying challenges and opportunities, gathering demand signals, and utilizing data for decision-making. Cognitive automation makes balancing supply and demands more efficient and effective, allowing businesses to act faster.
2.3 Blockchain-enabled Traceability
Blockchain technology, a distributed ledger system, enables secure, transparent, and traceable record-keeping across a supply chain network. By providing a tamper-proof record of product movement and quality, blockchain technology can enable businesses to verify the authenticity and integrity of their products at each stage of the supply chain. In addition, blockchain technology allows businesses to quickly trace product origins and identify affected batches during recalls.
2.4 Predictive Maintenance
Predictive maintenance is a technology that uses machine learning algorithms and Internet of Things sensors to predict impending equipment failures. By analyzing equipment performance data, predictive analytics enables businesses to reduce equipment downtime, lower maintenance costs, and increase reliability. With predictive maintenance, businesses can transition from reactive to proactive maintenance, preventing equipment failures and extending equipment lifecycles.
3 3 Key Challenges in Adopting Emerging Technologies
3.1 Cost and Budget Constraints
The executives in the supply chain industry face a significant challenge when adopting emerging supply chain technologies due to the associated costs and budget constraints. While these smart supply chain technologies offer long-term benefits, the upfront investment can deter businesses. Businesses need to consider the total cost of ownership, including implementation, training, ongoing maintenance costs, and the potential return on investment.
3.2 Skills Gap in Talent
Incorporating emerging technologies and trends in supply chain operations management is a complex and costly investment that demands a highly skilled workforce to implement and operate such supply chain technologies successfully. A significant skills gap while adopting technology in the supply chain industry poses a challenge for businesses in finding and training competent personnel with technical, analytical, and business skills required to handle emerging technologies.
3.3 Privacy and Data Security Concerns
As supply chain operations adopt cutting-edge technologies, companies must address privacy and data security issues. The use of technology requires the collection and dissemination of sensitive data across multiple parties, which raises security and privacy concerns that can be exploited by cybercriminals or unauthorized personnel. Failure to adequately address these issues may result in reputational harm, legal and financial penalties, and a loss of customer confidence.
4 Overcoming the Challenges
4.1 Adopting Technologies for Managing Budget and Cost
To overcome the challenge of budget and cost constraints in adopting technology in the supply chain, businesses can leverage innovative tools, such as cost management software and advanced analytics tools, which can provide real-time visibility into cost drivers and enable better decision-making to optimize resource utilization. With the top three technologies in supply chain such as AI, IoT and blockchain, businesses can reduce costs, boost supply chain performance, and maintain market competitiveness. AI predicts demand, maximizes inventory and improves transportation; RPA automates manual tasks, reduces labor costs, and cloud computing provides a flexible and scalable IT infrastructure with reduced upfront investments.
4.2 Developing Talent Pipeline
Businesses must invest in building a talent pipeline to ensure a steady supply of skilled employees to narrow the skills gap in the supply chain industry. Collaboration with educational institutions, in-house training programs, and managed service providers from the technology industry can all be part of the answer. The organization's competitiveness and success can be increased by creating a talent pipeline to fill the skills gap between the current workforce and the needs of emerging technologies. Businesses can keep their workforce current and ready to adopt new technologies in supply chain by investing in a talent pipeline.
4.3 Implementing a Zero Trust Security Model
As businesses adopt emerging technologies for supply chain operations, privacy, and data security, concerns have become a formidable obstacle. The implementation of a zero-trust security model can aid in addressing this difficulty. Before gaining access to any data or system, all users and devices in this model must be authenticated as potential threats, per this model. This strategy protects data and systems from unauthorized access and enables businesses to comply with regulations such as the GDPR and CCPA. In addition, it can provide supply chain visibility and control over data access in real-time, making it more effortless to detect and respond to security threats.
5 Future Outlook
Supply chain leaders view emerging supply chain technology as a competitive advantage and as a means to address digital transformation. In addition, there is a focus on supply chain technologies that improve human decision-making and manage assets at the edge. Organizations should unify their technology portfolio and update legacy systems for greater efficiency. As supply chain complexity increases, we can expect even more advanced technology solutions leveraging big data, machine learning, and robotics to create agile, flexible, and sustainable supply chains.
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Transportation
Article | April 26, 2023
The unsurprising investment eagerness of venture capital funds is manifesting in an automation tech glut in the distribution center space. Motivated by enabling trends like labor and land shortages, DCs are amid an automation transformation. Never has defining an automation strategy been more important.
There’s no shortage of VC cash available to logistics tech startups
With a brightly shining spotlight centered on supply chains for the past two years, it’s no surprise that total funding in logistics startups has seen a dramatic increase – growing at over 70% CAGR (Compound Annual Growth Rate). Logistics technology startups raked in over $25 billion in the first three quarters of 2021. That’s more than half of the total amount raised in the whole of 2020, and the incentives for continuing investment persist.
The rise of the of the “micro” DC
“Micro” is a relative term. The size of a micro fulfillment center (MFC) can range from 5,000 to 50,000 square feet. Those reduced square footages allow location in dense urban areas, typically within 40 miles of most of their intended customers. In addition, smaller footprints lead to reduced rents compared to a standard customer fulfillment center (CFC), and the proximity to consumers makes for lower final mile delivery costs. It’s no wonder that MFCs accounted for more than half of the logistics real estate leasing activity in the third quarter of 2021. The “urban logistics” trend is fueling demand for these highly automated, smaller locations.
Vertical logistics integration grows ever more fashionable among retailers
It’s a very “in” thing right now, these acquisitions and partnerships, and they won’t be going out of fashion soon. For example, American Eagle took in Airterra and its parcel optimization tech and third-party logistics (3PL) provider Quiet Logistics.
Target started early. They bought Grand Junction, a software platform that helps retailers determine the best delivery method and track carrier performance, in 2017. Their 2020 acquisition of Deliv brought with it same-day delivery routing technology that they’re now applying to their 2021 purchase, on-demand delivery service Shipt. Target uses Delivs’ tech to generate more efficient routes for Shipt.
Kroger has partnered with UK’s e-grocery specialist Ocado to build automated CFCs across the US and expand their retail footprint. The first CFC opened last spring in Ohio and their second in Florida later that year. They plan to open 20 CFCs over the next three years.
“The proliferation of DC automation solutions and modalities, the rise of MFCs in high-density urban areas, the increasingly automated vertical integration of logistics, and the need to rapidly expand order fulfillment capacity have all, in combination, advanced the need for and application of clearly defined strategies concerning the implementation of automation technology. Do not operate without one.”
Vikas Argod, Principal, Supply Chains Operations practice at Chainalytics
Coping with shortages in warehouse space and labor availability
Third quarter, 2021 US demand for industrial real estate exceeded supply by 41 million square feet. This pushed the national vacancy rate in the fourth quarter down to a record 3.7% in the Cushman & Wakefield US National Industrial MarketBeat report for Q4 2021. Who knows what the record might be when the Q1 2022 report breaks in a few weeks?
On the labor side, the December 2021 US unemployment rate was 3.9%, lower than in December 2019 (3.6%) yet reflecting a tighter labor market. Labor force participation rates are at 61.9%, nearly 2% below February 2020 levels, because of lingering effects of the COVID-19 pandemic. The rising wages and signing bonuses of the past year offer silent testimony to the ongoing constraints in today’s labor market.
Both trends will remain with us for the near- and mid-term, making an automation strategy a necessary part of your DC operations as you attempt to mitigate the effects of both. In addition, warehouse labor shortages are most pronounced in markets with high distribution center densities – Greater Memphis, In-land Empire, Allentown, PA, et al.)
Building the capability to rapidly open DCs at scale
No other factor drives home the need for a coherent DC automation strategy like this one. Let’s explore it with an example.
We’ll call this “A Tale of Two Companies.” One jumped on the automation bandwagon without hesitation – not a bad thing – but applied no strategic groundwork. The other is, well, Amazon.
Company one responded to increasing demand by creating DCs in their usual, strategically located fashion. However, with automation, the lack of a logical strategy led to adopting “the best that money could buy.” So, while these DCs work fine on their own (most of the time), each employs unique implementations from a variety of vendors, with little to no overlap of methods, capabilities, and management procedures between DCs. It’s functional, but a needlessly complicated hodgepodge.
On the other hand, it definitely looks like Amazon has a standardized automation strategy. One that can easily adapt to exploit the individual physical specifications of any space. This makes it simple to arrive and equip it with a standard package of automation solutions. That’s probably how Amazon blanketed the US with over 400 new DCs in just the last two years. They waste no time or money on repeating unnecessary decisions along the way.
Now, we all can’t have the resources of an Amazon. However, the rise of on-demand warehousing companies like Stord and Flexe allow organizations to dramatically decrease the cycle time of standing up additional fulfillment capability.
Developing an automation strategy will feel familiar. It begins with benchmarking, order profiling, current performance drivers, EBIT targets, and theoretical evaluations of newer technology options. All this leads to the creation of a decision framework for DC automation. The goal here is achieving alignment among the leadership on critical capabilities to focus on. These include rapid fulfillment, labor shortage, capacity constraints, safety challenges, or sustainability. Those that commit to this process will start slowly but finish with a strategy that will underpin thousands of decisions and enable sustained rapid growth.
If, in the end, you decide that automation is not right for your operation, that’s a perfectly valid strategy as well. So long as you have a method to evaluate all of your options, and you base your decision on cost-service-sustainability trade-offs, the right strategy for your organization may be no automation at all.
There’s no point in chasing shiny robotic objects if automation makes little sense.
The rise of automation and the multitude of technologies to choose from require the development of a strategic decision framework. Contact us and see how Chainalytics – an NTT DATA company – can be your guide in developing this critical part of your foundation for growth. Our top supply chain talent, enabled by proven, leading-edge digital assets – tools, methods, and content – deliver actionable insights and measurable outcomes to some of today’s largest and most complex supply chains.
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Procurement and Sourcing, Logistics
Article | August 8, 2022
Carrier management systems have undergone much evolution thanks to the exponential development in shipping and logistics technology. Although its primary mission was to assign, control, and track shippers and carriers, the industry's post-pandemic trends have reflected a variety of new best practices.
Traditionally, many carrier management systems were manually operated and made extensive use of paper processes that didn’t provide perks like real-time data, reporting functionalities, or the visibility to make informed decisions. Today’s carrier management systems comprise these features and go even further. They offer tangible improvements and advantages that impact the bottom line. Here are three things you should look for in a carrier management solution to make sure your digital transformation goes as well as possible.
Support for a Diverse Range of Carriers
To effectively manage your carriers, it’s essential to be able to keep up with technologies used by everything from small to large carriers. The ability to support modern technologies and EDI that are routinely used by larger carriers while also offering online portals and mobile-readiness is integral. A platform that supports a diverse range of carrier sizes helps streamline processes and eliminate friction between operational groups. It also offers all carriers on the system the ability to stay in the loop and access the same data for load and freight boards to keep the freight moving.
Performance Mapping Capabilities
The ability to track performance and keep an eye on crucial metrics is an important consideration for a carrier management system. Real-time data bolsters carrier relationships and equips you with the ability to control and manage factors like load capacity, location of your fuel and fleet, and intimate teams on issues like inventory, sourcing, forecasting, and dispatching in real-time. Not only does this positively impact shippers, but carriers as well. With an overview into their own performance, carriers are empowered to course-correct and respond to sudden hurdles in time. Shippers must be able to get access to the following metrics in order to have the upper hand in rate negotiations with carriers:
On-time performance
Data accuracy
Compliance
Status update timelines
Collaboration-Friendly Platforms
A flexible solution that allows shippers to work collaboratively ensures strategic flexibility. Monitoring the performance across different modes including truckload, intermodal, and LTL as well as parcel consolidators and shippers. Today, carrier management systems and other digital solutions are able to integrate these modes and offer superior capabilities when it comes to receiving updates from all modes in real-time. When combined with cloud-based solutions, carrier management can take efficiency to a whole new level.
To Conclude
The success of your supply chain and company depends on your partnerships with your carriers, which can also have a significant impact on your ROI, particularly as the market continues to transform further towards third party partnerships. In order to foster carrier performance, carrier management should be a significant part of your strategy.
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