Supply Chain & Beyond
SC&B Green
Technology Advantage
  • AI Advantage
  • EDM AI
  • CarbonX
  • Supply Chain AI
  • Logistics TMS AI
  • IBP
  • Risk Management AI
Case Studies
SC&B Blogs
  • SC&B Q3 2024 - Current
Past Blogs
  • SC&B Blog Q3 2024
  • SC&B Blog Q2 2024
  • SC&B Blog Q1 2024
  • SC&B Blog Q4 2023
  • SC&B Blog Q3 2023
  • SC&B Blog Q2 2023
  • SC&B Blog Q1 2023
  • SC&B Blog 2022
  • SC&B Blog 2021
  • SC&B Blog 2020
Supply Chain and Beyond
Supply Chain & Beyond
SC&B Green
Technology Advantage
  • AI Advantage
  • EDM AI
  • CarbonX
  • Supply Chain AI
  • Logistics TMS AI
  • IBP
  • Risk Management AI
Case Studies
SC&B Blogs
  • SC&B Q3 2024 - Current
Past Blogs
  • SC&B Blog Q3 2024
  • SC&B Blog Q2 2024
  • SC&B Blog Q1 2024
  • SC&B Blog Q4 2023
  • SC&B Blog Q3 2023
  • SC&B Blog Q2 2023
  • SC&B Blog Q1 2023
  • SC&B Blog 2022
  • SC&B Blog 2021
  • SC&B Blog 2020
More
  • Supply Chain & Beyond
  • SC&B Green
  • Technology Advantage
    • AI Advantage
    • EDM AI
    • CarbonX
    • Supply Chain AI
    • Logistics TMS AI
    • IBP
    • Risk Management AI
  • Case Studies
  • SC&B Blogs
    • SC&B Q3 2024 - Current
  • Past Blogs
    • SC&B Blog Q3 2024
    • SC&B Blog Q2 2024
    • SC&B Blog Q1 2024
    • SC&B Blog Q4 2023
    • SC&B Blog Q3 2023
    • SC&B Blog Q2 2023
    • SC&B Blog Q1 2023
    • SC&B Blog 2022
    • SC&B Blog 2021
    • SC&B Blog 2020
Supply Chain and Beyond
  • Supply Chain & Beyond
  • SC&B Green
  • Technology Advantage
    • AI Advantage
    • EDM AI
    • CarbonX
    • Supply Chain AI
    • Logistics TMS AI
    • IBP
    • Risk Management AI
  • Case Studies
  • SC&B Blogs
    • SC&B Q3 2024 - Current
  • Past Blogs
    • SC&B Blog Q3 2024
    • SC&B Blog Q2 2024
    • SC&B Blog Q1 2024
    • SC&B Blog Q4 2023
    • SC&B Blog Q3 2023
    • SC&B Blog Q2 2023
    • SC&B Blog Q1 2023
    • SC&B Blog 2022
    • SC&B Blog 2021
    • SC&B Blog 2020

SC&B Blog Q2 2023

Defining Supply Chain Resilience and How to Measure it?

Supply Chain Sustainability and its Relevance to Your Business

Supply Chain Sustainability and its Relevance to Your Business

 What is Supply Chain Resilience?


A business faces many seen and unseen disruptions. Some originating from known factors, some finding its inception beyond human accountability (read: natural disasters, epidemic). During such challenges, an organization’s value chain resilience shines through, which helps it navigate the bottlenecks and react to the matters at hand faster. This all happens without any significant impact on the operations and production timelines.


The benefits of a resilient supply chain translate into an enterprise's firewall tactics and aid it in recovery. This includes proactive planning and anticipating the possible market opportunities that might turn up. An SCM that actively invests in resiliency & foresightedness builds itself to the ranks of modern supply chain supremacy. And to achieve such a distinct virtue, one needs to know what builds a resilient supply chain.


How to build a resilient supply chain?


There can be many routes to building a resilient supply chain. Every one of these routes works on the basic principles of transparency, collaboration, data sharing, and more. In addition, a SCM needs to constantly update its current processes and practices to be more adaptable. It becomes imperative for a leadership team to be on a constant lookout for the latest tech that helps the entire value chain process evolve with time, market requirements, and user experience. Below are pointers on what constitutes designing a resilient supply chain.


  • Visibility Siloed processes always result in delayed decisions, eventually costing the organization financial hiccups. Setting a foundation with visibility helps stakeholders know the process from inventory to last-mile delivery. Such transparency also leads to increased customer satisfaction. Visibility initiates real-time knowledge sharing that drives faster turnaround time in case of disruptions and ensures smooth workflow for the entire supply chain.


  • Collaboration A supply chain is teamwork. Management hires experienced heads to get complete accountability for the value chain processes involved. More importantly, navigating a bottleneck under supply chain duress needs smooth channels where confidence in decision-making is the first & foremost requirement. With collaboration, timely decisions can benefit faster response, eradicating adverse outcomes.


  • Data Transparency Data sets the backbone for every process. If the data is vetted, then it helps leadership set crucial KPIs that transform into eventual action plans. Such data transparency also enables continuous monitoring & evaluation of the framework deployed. Not to mention, from the holistic development objectives of an organization (i.e., sustainability), data can churn out necessary insights.


  •  Sourcing Plan Organizations with diversified suppliers across the demography have a better ecosystem that can accommodate flexibility in the face of disruptions and scalability in times of relevant market opportunities. This bolsters the efficiency of a value chain that always fares well with customer expectations by being an all-season mechanism powered by reliable suppliers.


  • Modernization of Process While it may be a slow road from traditional to modern supply chain practices, it pays off through faster processes, a centralized database, quick reaction to challenges, and better coordination of internal activities. In the age of relevant technologies nullifying severe delays in the framework, upgrading infrastructure is the way to go.


How to measure supply chain resiliency?


Once the pillars of supply chain resiliency are defined, the next step is to measure the effectiveness of the entire process. And to gauge the final result, three core metrics are laid out.


  • Contingency Plan Resiliency response often comes in the face of questions laid down by disruptions. This effectively keeps a business running by cutting a few corners, majorly focused on the financial front. This step involves an organization keeping away from its usual production calls and testing its grit in the face of bottlenecks and uncertainties. A resilient framework efficacy shines through for how long it can incubate a supply chain from a market's ill effect.


  • Recovery Post a contingency plan, a leadership sits out to ideate on getting back the lost business that might have impacted the eventual revenue goals. The shorter the recovery time, the better the company's chance to resume its normal proceedings at full tilt.


  • Performance Post Contingency While a contingency plan and recovery go one after the other, the gradual performance of a supply chain gets identified with pre-disruption and post-disruption timelines. The impact of an unprecedented event (read: natural disasters or a pandemic) results in changing decisive factors like user consumption behavior, economic conditioning, and more. Such indicators help define the gradual functioning of the supply chain, training it to be more astute and responsible in the face of untimely occurrences.


Enterprises with a resilient supply chain framework have an edge in navigating turbulent market scenarios. This also contributes to adapting strategies in accordance with the need. Investment in a flexible value chain is of utmost importance, considering customer gratification in the era of competition being short-lived and another disruption just around the corner. Connect with Supply Chain and Beyond and 3SC to know how we can help you sideline potential loss of business in the face of a supply chain anomaly.

Supply Chain Sustainability and its Relevance to Your Business

Supply Chain Sustainability and its Relevance to Your Business

Supply Chain Sustainability and its Relevance to Your Business

 What is Supply Chain Sustainability?


A sustainable supply chain represents a company’s operation framework that aligns its environmental, social, and economic impact across every value chain process. This involves accounting for carbon footprints and implementing strategies that benefit nature and its inhabitants. From a management perspective, this covers keeping track of every process, right from raw material procurement to transportation.


But before we delve into the ‘How’  factor, we first need to know ‘Why’  precisely the importance of sustainability in the supply chain is gaining much traction.


Why is Supply Chain Sustainability Important?


We are all collective citizens sharing a single address for human life form existence. With governing bodies and global organizations signing off legislation to focus on sustainability – companies across demography are finding ways to get their end-to-end value chain functioning close to ESG (Environmental, Social, and Governance) norms.

In context to the brand calling factor, customers also look for sustainably produced final products that align with their ethical buying practices.


Moreover, with enterprises opting for a go-green foundation, it also opens up many possible partnership opportunities for the company's management that make them more scalable and double down on the financial parameters of gradual investment and overall ROI. These titular actions also bring awareness at a larger scale and play a pivotal role in solidifying a company's stand to its green objectives. A green supply chain also improves productivity big time by resourcing techniques that take a minimal toll on Earth's natural resources and extend by involving every stakeholder right from internal (employees) to external (vendors, contractors) on ethical practices that push the overall collective effort from a conglomerate.

If one has to note down the bullet points on the going sustainable, this is how it will pan out:


  • Benefits Environment
  • Makes the Supply Chain More Visible
  • Enhances Value Chain Resiliency
  • Improves Brand Value
  • Financially More Rewarding w/ potential opportunities


How to employ sustainability in a Modern Supply Chain?


By looks, it might seem an enormous task, but if planned well, setting the working framework of a sustainable value chain can be a simplified process. And it all starts by knowing the scale of the operation. Here's the essential check box to be kept in mind when initiating sustainability in a modern supply chain.


  • Identifying Sustainability Goals & Objectives A SCM must know what exactly are the actual goals that they are vying for. The goal setting should be in context to its financial prowess, skilled and non-skilled resources, and scalability potential. This eventually helps management jot down the requirements essential for their environmental-first growth.


  • Creating Sustainable Policy The next eventual step is to underline the sustainable policies that are non-negotiable for both the internal & external stakeholders. This blueprint acts as a baseline for the eventual course of action the enterprise is targeting, from ethical sourcing to employing rightful work practices, using renewable energy, and proper waste management.


  • Evaluate Your Current Processes Evaluating your standing supply chain structure will help leadership decide to upgrade the individual processes or completely overhaul the entire value chain functioning. This step helps management be better positioned to initiate its action plans with the latest tech, skills, and guidelines.


  • Collaborate For any strategic action to bear results, collaboration is a non-negotiable trait. Synonymous with a continuously improving process, collaboration helps an organization yield better results by aligning all the key stakeholders accountable by measuring relevant KPIs.


  • Monitor & Adapt Finetuning any process involves constant learning. Monitoring performance and adapting on the go holds the key to efficient performance. Such regular reviews help Supply Chain Management know areas where investment has to be made. It simply maximizes the supply chain potential with its context to its environment first approach.


The relevance of being up to date with ethical and sustainable practices not only gives a business an edge over its competitors but also positions itself as a proactive organization looking to contribute back to the planet it thrives on. Supply Chain and Beyond and 3SC, with its offerings, catalyzes an enterprise's intent of making its supply chain more sustainable with its analytically driven innovative value chain solutions. With its cohesive approach keeping a company's financial & environmental objectives aligned, 3SC is your ideal partner on your journey to carbon-neutral functioning.

How Generative AI is Helping Supply Chain?

Supply Chain Sustainability and its Relevance to Your Business

How Generative AI is Helping Supply Chain?

 What Is Generative AI In Supply Chain?


By definition, Generative AI is a form of artificial intelligence that works on the framework of machine learning algorithms to generate brand-new content that never had any precedent before. In context to the supply chain industry, this model comes close to a sentient being by analyzing vast amounts of information from procurement to delivery process to come up with unique output that more or less contributes to the betterment of the overall functioning of an enterprise. The result can be in various forms based on the information fed to the principal processing of the automated platform. Major tech conglomerates have developed their Generative AI offerings in the form of search engines and content generation applications, among others.


How Does Generative AI Work For The Supply Chain?


The world cannot function without a supply chain. To disrupt a value chain process is to disrupt the usual way of living as we know it. While a Supply Chain Management (SCM) is always on course to find ways to mitigate unwarranted scenarios through the virtues of data analytics – a Generative AI platform, through its algo prowess on case studies, can prove to be a worthy mentor that can help the entire supply chain functions from procurement to delivery go from strength to strength. Here’s the roadmap to how the titular tech enables its ability for a supply chain industry.


  • It first classifies & categorizes information based on the information presented


  • Does complete analyses to strengthen adaptable strategies & resource allocation based on real-time data


  • Information/Content generation in required forms that benefits faster response time


  • Summarizes large chunks of data to get crucial insights & market trends


  • Extracts relevant information according to the query given


Use Cases Of Generative AI In Supply Chain


With the context for Generative AI abilities for the value chain set – let us look at how the application finds its use cases in Supply Chain Management.


  • Demand Forecasting and Planning Generative AI can help optimize inventory levels, minimize stockouts, and enhance customer satisfaction by analyzing historical data, market trends, and external factors. With algos finding meaningful patterns out of complex variables, Generative AI can help counter demand fluctuations and align optimized production levels & inventory keeping, resulting in efficient operations & capital savings.


  • Inventory Strategies By reducing excess inventory, Generative AI models figure out efficient strategies for distribution & storage by accounting for lead times, transportation costs, and demand fluctuation, as mentioned above, thus maximizing market opportunities, and contributing to the overall revenue goals.


  • Vendor Selection & Relationship Every supply chain management requires multiple vendors to manage the scale of their operations – and the selection of a vetted value chain partner is an equation for smooth end-to-end functioning. By leveraging Generative AI capabilities, leadership can recce supplier's performance, pricing matrix, overall qualities, and geographical presence, among other decisive factors, to finalize their supply chain network. Not only this, after onboarding the vendors, the automated platform tracks daily activities, suggests improvement, and charts out strategies that mutually benefit the growth of both parties (organization and vendor), resulting in better relationship management.


  • Logistics Optimization As an integral part of the overall value chain functioning, logistics has to remain one of the most robust processes from a management perspective. To make things easier in transportation planning, Generative AI can optimize route planning, delivery scheduling, and resource allocation by considering traffic conditions, weather forecasts, vehicle capacities, and customer demands, which funnels down the cost incurred by the enterprise. The new-age platform further considers unforeseen circumstances and adapts to real-time scenario changes to improve the resiliency of the supply chain.


  • Risk Management Insights driven by data always lend wisdom for the upcoming time. The biggest virtue defining Generative AI is helping leadership chart out ways to navigate risks and supply chain bottlenecks by making the end-to-end process proactive rather than reactive. And the titular technology does it with quite aplomb.


  • Product Betterment A company has to constantly evolve to keep up with the market trends & customer's ever-changing requirements. To address the law of systematic obsoletion, Generative AI can help brainstorm new concepts & systematic approaches to the desired configuration, all in the realms of a defined budget & living up to the user's expectations.


  • Sustainability & Environmental Impact ESG laws highlight the first line of thought process that management ponders to build up its brand call & the relevance of its products in the market. To keep up with the environmental, social, and governance norms, Generative AI can help enormously by optimizing logistics operations, keeping tabs on overall emissions, monitoring guidelines, ensuring regulatory compliance, and deploying environmentally friendly practices throughout the supply chain.


What Are the Challenges of Using Generative AI in Supply Chain?


The boon doesn't exist without the bane, and the same maxim holds for the breakthrough tech that has been Generative AI. With its implementation comes certain challenges that must be addressed to utilize the platform successfully.


  • Data Availability & Quality Data is the fuel that makes organizations and their applications work. Generative AI is no exception to the rule either. For successful implementation of the platform, stakeholders have to ensure that there's the availability of a high volume of information that is vetted firsthand. Leadership has to ensure that the knowledge being processed matches their set parameters, or else the insights won't be constructive for the management.


  • Model Integration & Training A Generative AI, at initiation, is bereft of any knowledge. When the information is fed to the system, it starts to make sense and subsequently churn out new content based on the industry it is being employed in. And for any application to achieve its objectives, it needs thorough training with relevant data, which can be time-consuming and intensive. In addition, the application of such AI tools needs finetuning regularly, and during such a learn & re-learn process, the fluctuating performance of the platform can pose a challenge.


  • Understanding the computation SCM needs to be entirely on board with the logic by which the Generative AI model processes their output. Management needs to have complete transparency and should be aware of the general rationale by which the automated platform is arriving at the defined outcome. It is essential to remember that these outputs heavily influence the supply chain decision-making that can work for or against motion.


  • Adaptability It's a very competitive environment for businesses, and adaptability on the go is the mantra that keeps organizations up and running with innovations and the latest framework that allows more flexibility and subsequent business value for their product. This requires a Generative AI platform to be much more responsive to the changes undertaken by the management and also be adaptable to the various frameworks it'll work alongside.


  • Scalability Expansion is always in plans for a leadership group, and to perfect the blueprint of scalability, the symbiosis with a generative platform must ensure that it responds to the ground plans the organization has for itself. With the prospects of extension, the said automated tech has its task cut out to run analysis on data, which will only increase multiple fold as an enterprise progresses.


If these challenges are addressed with the required expertise in AI handling, then supply chain management will see itself benefitting immensely in the form of operational efficiency of the highest order and more thoughtful decision-making from a leadership perspective. And, in its quest, it will certainly checklist the journey from computation to computational thinking for numerous industries.

  • Careers

Supply Chain & Beyond

250 East Fifth Street, Cincinnati, Ohio 45202, United States

HQ (513) 655-2702

Copyright © 2023 Supply Chain & Beyond - All Rights Reserved.

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. 

DeclineAccept