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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Supply Chain
Article | May 22, 2023
Autonomous robots have transitioned from a futuristic system that only a few enterprises could afford to a sustainable, well-established solution in a wide assortment of warehouse automation projects in recent years.
With the flourishing transportation and logistics industry and increasing e-commerce penetration worldwide, innovative technologies are revealing promising opportunities throughout the supply chain.
Warehouse Automation: Driving Value in the Supply Chain
Historically, autonomous robots have been used to perform tedious and repetitive tasks, necessitating sophisticated programming for setup and incorporation while lacking the dexterity to easily adjust operations.
As autonomous robots become more intelligent, their setup times decrease, they need less monitoring, and they are able to work alongside their human counterparts. The benefits for the future supply chain are increasing as autonomous robots become more capable of working day and night with more consistent levels of productivity and quality and performing tasks that individuals should not, cannot, or do not want to do.
Autonomous robots drive advancements and add value to the supply chain, primarily by increasing revenue potential and lowering direct and indirect operating costs. Autonomous robots, in particular, can assist:
Boost efficiency and productivity.
Lower risk, error frequency, and rework rates.
Enhance employee safety in high-risk workplaces.
Handle low-value, routine tasks so people can work together on strategic projects that can't be done by machines.
Raise revenue by optimizing order fulfillment rates, and delivery speed, and, ultimately, increasing customer satisfaction.
Sneak Peek into the Future of Autonomous Robot
Autonomous robots are expected to witness strong growth in the coming years. These robots will become more common in the future supply chain as technology advances, allowing them to operate with more human-like abilities. Improvements in haptic sensors, for example, will enable these robots to grasp objects varying from multi-surfaced metal assembly parts to fragile eggshells without requiring changes to robotic components or programming. This will encourage companies operating in the industry to increase their research and development activities and introduce innovative and advanced supply chain technologies.
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Transportation
Article | April 26, 2023
Enhance operational efficiency by implementing industry-approved methods for multi-channel inventory management. Taking a holistic approach to control inventory helps multiple sales channels grow.
Multi-channel inventory management is a crucial aspect of the supply chain process that ensures the goods are available to customers through different sales channels. However, with growing penetration of ecommerce technologies and the increasing complexity of supply chain networks, managing inventory across multiple channels has become daunting for businesses. The ability to accurately track inventory levels, ensure stock availability across channels, and optimize fulfillment processes has become critical to achieve success in today's competitive business landscape.
Managing inventory across multiple channels require real-time visibility and tracking of inventory levels which further streamlines the complex process. Inaccurate inventory data can lead to stockouts, overstocking, and lost sales, negatively impacting the business's bottom line. To combat these challenges, businesses must implement a robust multi-channel inventory management system to track inventory across all channels, synchronize stock levels, and automate order fulfillment processes.
An inventory management system can offer businesses a consolidated view of inventory at various locations, such as warehouses, stores, and even online channels. An organized approach is crucial while managing multi-channel inventory or keeping track of moving inventory. Implementing an effective inventory management procedure, managing multi-channel inventory becomes more streamlined and simplified, as well as provides a comprehensive overview.
In addition, as businesses continue to expand their sales channels, multi-channel inventory management has become a vital component of supply chain management. By adopting best practices in multi-channel inventory management, businesses can ensure on-demand access, accurate inventory data, and seamless order fulfilment processes. Additionally, implementing the right procedures will allow organizations to observe an increase in customer satisfaction and experience significant business growth.
The article takes an in-depth look at key benefits, potential challenges, procedural considerations, and the significance of multi-channel inventory management. It delves into the impact of this approach on supply chain performance while providing valuable insights into best practices.
1. Centralize Inventory Management Process
Centralizing multi-channel inventory helps manage supply chain businesses across various channels and locations. Businesses can gain better visibility and control over their inventory processes by consolidating inventory data. However, centralizing inventory management is not without its challenges. One of the major obstacles faced by organizations is ensuring the accuracy and consistency of data across different locations and channels.
Another barrier is integrating various inventory management tools and technologies into a single system. Despite these challenges, centralizing inventory management offers significant benefits, including improved efficiency and reduced costs. In addition, businesses can leverage cloud-based inventory management software and standard operating procedures to centralize and optimize inventory management processes effectively.
2. Adopt Lean Inventory Management Approach
The lean inventory management approach is adequate for managing multi-channel inventory in supply chain businesses. This approach involves reducing excess inventory and only stocking items in demand. While implementation of the approach is complex due to the need for accurate demand forecasting and inventory tracking, it offers multiple advantages, such as reduced inventory carrying costs, improved cash flow, and increased customer satisfaction. To implement a lean inventory management approach in the supply chain business, follow these steps:
Conduct inventory analysis
Categorize items based on value and demand
Implement just-in-time (JIT) replenishment
Leverage forecasting tools
Establish cycle counting and monitoring procedures
Strive for continuous process improvement
This approach helps businesses achieve better inventory accuracy, increase operational agility, and meet customer demands across multiple channels.
3. Utilize ABC Inventory Analysis
ABC inventory analysis is a widely used best practice for multi-channel inventory management in the supply chain. This method categorizes inventory based on its level of importance to the business. ABC inventory analysis categorizes goods into A, B, and C categories based on their impact on overall inventory cost. Category A consists of the most valuable products, category B includes items that fall in between, and category C covers small transactions that are vital for overall profit but have less individual impact. Supply chain businesses can prioritize their resources and make informed decisions by focusing on high-value inventory.
However, implementing this method can be challenging, especially when dealing with extensive inventory data. To successfully address challenges associated with implementing ABC inventory analysis for multi-channel inventory management, businesses must focus on accurate data classification, utilization of advanced analytics tools, and fostering effective team collaboration.
4. Optimize Order Management Process
Optimizing order management involves automating and streamlining order fulfilment for efficient and accurate processing across sales channels. The process ensures optimal inventory control, minimizes fulfilment time, and enhances customer satisfaction, providing a competitive advantage. Aligning inventory levels with actual demand prevents overstocking and reduces holding costs. Additionally, businesses can efficiently allocate inventory from various sources to fulfil orders, reducing the need for excess storage and transportation. The optimization is achieved by adopting automation, system integration, and data analysis. In addition, comprehensive multi-channel order management system offers multiple benefits, including native e-commerce integrations, flexible order fulfilment options, multi-location inventory management, integrated POS capabilities, data-driven inventory planning, and workflow automation, among others.
5. Integrate Sales Channels
Integrating sales channels provides businesses with a unified view of inventory, sales, and customer data, enabling informed decision-making based on real-time information. It helps accurately track products across channels as well as adjust inventory levels based on individual selling rates. The process involves synchronizing channels through a centralized system, ensuring seamless data flow and consistent product information. It includes setting up API integrations, mapping inventory, and conducting thorough testing for smooth order processing. To implement the integration, businesses must utilize technology solutions like inventory management software and enterprise resource planning (ERP) systems. Additionally, it establishes clear communication channels among teams managing different sales channels.
6. Set Cross-Channel Metrics
Cross-channel metrics measure and analyze each sales channel's performance, including online & offline sales, and identify areas for improvement. To set cross-channel metrics for multi-channel inventory, businesses must identify relevant metrics, establish benchmarks, and regularly monitor and evaluate performance. Implementing cross-channel metrics allows businesses to make data-driven decisions based on actual performance rather than relying on assumptions or incomplete data. In addition, supply chain businesses can leverage technology solutions, such as cloud-based inventory management software, to manage and consolidate their data sources effectively. Enforcing cross-channel metrics in multi-channel inventory management helps overcome several challenges, such as lack of visibility across sales channels, difficulty in identifying slow-moving products, and inefficiencies in resource allocation.
7. Automate Supply chain
Automating the supply chain and implementing advanced software systems helps businesses to optimize supply chain processes. Automation reduces manual errors, enhances efficiency, and improves overall productivity. It enables real-time inventory tracking, seamless order processing, and accurate demand forecasting. Businesses can easily overcome manual inefficiencies, bottlenecks, and data discrepancies by automating the supply chain process. The process includes integration of automation tools like inventory management software, order management systems, and warehouse management systems. The systems integrate with sales channels, suppliers, and logistics partners to automate order processing, inventory tracking, and shipment management tasks. Ultimately, businesses achieve better inventory control, faster order fulfilment, and increased customer satisfaction by automating supply chain operations.
Final Thoughts
As the supply chain market evolves, businesses must adopt innovative approaches for multi-channel inventory management. Incorporating additional sales channels into conventional brick-and-mortar operations presents a valuable opportunity to expand customer reach, boost sales, and enhance the overall customer experience. To effectively implement multi-channel sales and inventory management within a retail organization, acquiring a robust retail management system capable of efficiently monitoring inventory levels and facilitating business growth becomes essential. The adoption of an effective system can assist businesses to ensure seamless inventory control and propel sustained success in the competitive market.
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Software and Technology
Article | April 19, 2022
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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