Leveraging AI and IoT for an Efficient and Resilient Digital Supply Chain

Supply chains span the globe, encompassing all the steps that go into sourcing the raw materials, manufacturing goods, and getting the final product to the end customer—who is often located thousands of miles away from the factory

Lay on other complexities—customizations, customer service, and compliance—and supply chains are more challenging to manage than ever, especially with different rules at play throughout different countries and jurisdictions. And the need to go toe-to-toe against the rapid-fire logistics of Amazon only raises the stakes.

To win and keep customers today, every step of the supply chain must function flawlessly—from before the product is produced to long after the customer has it dropped off at their doorstep.

That’s where digital supply chains come in. A digital supply chain leverages big data, artificial intelligence (AI), and the Internet of Things (IoT) to transform supply chain management (SCM) for maximum agility, adaptability, and scalability.

Today, technology captures big data throughout every inch of the process and then uses real-time, automated analysis tools to share company insights and actionable solutions.

In this article, you’ll learn more about digital supply chains and how they differ from traditional ones. You’ll also see examples of digital supply chains in action, the benefits and risks of adoption, and what the future may hold in store.

Understanding the Digital Supply Chain

A digital supply chain is like a traditional one but digitalized using AI and IoT technologies.

Traditional Supply Chain

A traditional supply chain involves the linear process of moving goods from suppliers to manufacturers to stores to customers, relying heavily on manual processes. It may conjure up images of a warehouse supervisor walking the floor with a pen tucked behind their ear and clipboard, as they manually count freight loads or ask other staff to "Get Santa Fe on the phone" to find out why there's a shipping delay.

How a Digital Supply Chain Differs

In a digital version, there's nothing to walk around, count, and jot down on a clipboard. And there's no need to "call Santa Fe" to figure out where the iron is. With handheld scanning devices and connected real-time data, warehouse leadership already knows the answers. Instead of manually digging for data, they can concentrate on higher-level planning and strategy.

Many supply chains have one foot stuck in both camps. These companies may use computers and electronic devices to manage many work processes, but not all systems are interconnected. This delays communication where different business units have access to different data, and activities must be coordinated through a mix of phone calls, emails, faxes, meetings, and paper-based documentation.

Many businesses, if not most, rely on a mix of manual and updated digital processes.

Upgrading to a fully digital supply chain can be a resounding win. Rather than limiting AI, IoT, and big analytics to isolated parts of your supply chain, integrating them across the entire system empowers your entire workforce. The whole organization can benefit from faster, smoother collaboration and decision-making. It’s a big win for the customer, too.

Key Technologies Driving Digital Supply Chains

  • AI and machine learning (ML): Together, these technologies enable rapid predictive analytics to enhance decision-making capabilities so companies can anticipate market changes and customer needs with greater accuracy. Epicor Prism is an AI tool that transforms your ERP data into powerful actions and insights.
  • IoT devices: These devices offer continual, real-time data to improve asset management. Using Epicor's IoT solutions, every step of the supply chain is monitored to ensure an instant response to any issues. IoT devices track and manage materials, equipment, and other assets, including monitoring the real-time location and condition of goods.
  • Big data analytics: Turn vast amounts of raw data into strategic business insights to help you optimize every aspect of your business operations. The data no longer has to "live" with just the Business Intelligence (BI) team, where you rely on data engineers to pull, sort, and interpret the figures. Everyone's on the same paperless page.

>>> Related: Trust your gut—backed by numbers. Become a data-driven business.

Benefits of a Digital Supply Chain

Adopting a digital supply chain offers many benefits that traditional supply chains can't match.

Unparalleled Efficiency:

Digital supply chains streamline operations by automating routine tasks such as inventory management, order processing, and shipment tracking to reduce manual errors and speed up processes.

AI-powered analytics identify bottlenecks, such as delayed order fulfillment or stock discrepancies, and optimize workflows for faster and more efficient supply chain operations.

Additionally, digital supply chains enhance performance by providing real-time data insights and predictive maintenance to prevent equipment failures and minimize downtime.

Enhanced Visibility:

IoT devices provide real-time tracking of assets, from raw materials to finished products. This visibility ensures better inventory management and reduces the risk of stockouts or overstocking, thus enabling companies to maintain optimal stock levels.

Better Decision-Making:

With AI and big data analytics, businesses can make informed decisions based on real-time data. Predictive analytics can forecast demand, optimize inventory levels, and plan for potential disruptions to enhance strategic planning and operational agility.

AI in the Digital Supply Chain

AI is a transformative force for the digital supply chain of today and tomorrow. It enhances many aspects of SCM, from demand forecasting to predictive maintenance.

Demand Forecasting

AI algorithms analyze historical data and market trends to predict future demand. Supply chain managers use these AI algorithms to forecast demand and plan inventory levels, reducing carrying costs, overproduction, and stockouts. 

Predictive Maintenance

AI-powered predictive maintenance can keep machinery and equipment running at peak conditions. It allows for proactive maintenance schedules instead of waiting for equipment failure. This minimizes downtime, extends the lifespan of machines, and can ensure more continuous production.

Route Optimization

AI elevates route optimization for deliveries. Beyond the free GPS apps that most people are familiar with, AI-powered route optimization can analyze infinitely more data points to plot the best route including vehicle capacity, fuel consumption, and delivery time windows. It can also dynamically adjust routes in real time to respond to road closures or demand surges.

This approach is also much greener, as these enhanced logistics can reduce idle time and extra carbon emissions, resulting in increased sustainability and cost reductions.

IoT in the Digital Supply Chain

IoT devices are central to the digital supply chain, offering a continual flow of real-time data to enhance operational efficiency.

Asset Tracking

IoT sensors track the location and condition of assets throughout the supply chain. This real-time visibility reduces loss, improves asset utilization, and provides accurate delivery times to customers. Additionally, real-time data from IoT devices is shared with all supply chain stakeholders for improved collaboration.

Environmental Monitoring

IoT devices can also monitor environmental conditions to ensure that products are stored and transported under optimal conditions. This includes temperature, humidity levels, light exposure, vibration, air quality, and carbon dioxide levels.

This is especially critical for industries like food, beverage, medical, and pharmaceuticals.

Smart Warehousing

IoT-enabled smart warehouses use automated systems to manage inventory to streamline the picking and packing process for faster order fulfillment and reduced human error.

Integrated Supply Chain Management

An integrated digital supply chain leverages both AI and IoT for a seamless and efficient network. Integrated supply chains optimize performance and customer goodwill through the easy flow of information, including real-time notifications and order data.

  • Collaborative Planning: Enhanced communication and collaboration that breaks through traditional organizational boundaries. Information is shared among all internal stakeholders along with suppliers, manufacturers, and retailers for improved planning, reduced lead times, and overall responsiveness to demand fluctuations and market challenges.
  • Resilience: An integrated supply chain is more resilient, leveraging the predictive analytics of AI and robust monitoring capabilities of IoT devices.

Case Studies

Boers & Co.

See how Boers & Co, a precision solutions company, has embraced Epicor Kinetic and IoT innovation to better support their workers with robots, cobots, and autonomous bots. Learn more.

Transply, Inc.

Industrial distributor, Transply, Inc., uses AI-powered Epicor Prophet 21, ERP software for wholesale distributors, to replace inefficient, manual processes to improve customer service and margins. Find out more about Transply's profit-boosting success.

Implementing a Digital Supply Chain

Implementing a digital supply chain requires a strategic approach, which is rolled out over several phases to minimize disruption. This phased approach ensures seamless integration and allows time for staff to adapt to new technologies.

Steps to Implementation:

  1. Assessment: Evaluate current supply chain management (SCM) processes and identify areas for improvement. This includes a thorough analysis to determine the potential impact of updating technologies.
  2. Technology Selection: Choose the right AI and IoT technologies that align with business goals, considering scalability, ease of integration, and potential ROI.
  3. Integration: Integrate the new technologies into the existing supply chain with a seamless data flow and any needed interoperability between new and legacy systems.
  4. Training: Train staff on new technologies and processes. Provide continuous learning opportunities to keep employees up-to-date and motivated to eagerly adopt new resources.
  5. Monitoring: Continuously monitor and optimize the supply chain, using analytics to track performance, identify areas for improvement, and shift production goals and strategies as needed.

Overcoming Implementation Challenges

While the benefits of a digital supply chain are clear, businesses may face challenges during implementation.

  • Data Security: Ensuring the security of data collected and transmitted through IoT devices is critical. Robust security measures must be implemented to protect against data breaches and unauthorized access, with regular updates of company security protocols.
  • Scalability: Scaling digital supply chain solutions can be complex if they're being rolled out across multiple locations. Choose a scalable technology that grows with you as your business grows for easier incremental rolls and reduced complexity and security risks.
  • Change Management: The transition to a digital supply chain requires effective change management planning and rollout. Communicate the benefits of the transformation, involve stakeholders and internal influencers in the planning process, and provide adequate training and follow-up training to ensure a smooth transition.

Future of the Digital Supply Chain

Advancements in AI and IoT are transforming the digital supply chain, leading to greater speed, efficiency, and adaptability.

Key Emerging Trends:

  • Blockchain integration for enhanced transparency and traceability in the supply chain. Blockchain can create a permanent, unalterable record of transactions to increase trust and minimize fraud.
  • Robotic process automation (RPA) to automate repetitive tasks. RPA can handle high-volume and rule-based tasks, freeing up workers for strategic human-centric activities that bots can't perform.
  • Edge computing processes data closer to where it's being generated for improved speed and reduced internet bandwidth. This helps supply chains maintain real-time tracking with faster data analysis.

Summary

A digital supply chain solution that uses the power of AI and IoT can offer significant benefits for businesses, such as speed, automation, and better collaboration and decision-making. By integrating these technologies, you can create a more resilient and agile strategy, one that’s better equipped to handle the challenging conditions of the modern supply chain landscape.

Whether you need a solution for better inventory management, improved predictive maintenance, or more streamlined operations among different work sites, a digital supply chain can supply the tools and technology for your organization to flourish.

Ready to learn more about transforming your supply chain operations?

Chat with an expert today for free to learn more about Epicor’s innovative digital supply chain solutions. Contact us now and take the first step towards a smarter, more efficient future.

Christine Hansen
Director, Product Marketing

Christine Hansen serves as the Director of Product Marketing at Epicor, where she applies over 20 years of industry expertise to drive inventive solutions for the manufacturing sector. She holds BAs in Spanish and business administration from Augustana College (SD) and is based in Minneapolis, MN.

Read More by Christine Hansen