Supply Chain Risk Management: Top Preventative Software Technologies
Without a well-functioning supply chain, consumers and companies across the world would struggle to receive their orders and send their shipments. A lot of stakeholders would feel the impact of a disruption, and that’s precisely why transportation and logistics businesses constantly perform risk management to help minimize damage from issues.
Yet, how exactly can risks be avoided? Well, there are various practices, but in the modern day one of the most impactful ones is implementing innovative technologies that aid supply chain risk analysis. That’s precisely what we’re going to discuss today.
So, keep on reading to find out which software technologies help with supply chain risk management (SCRM) and begin implementing the best practices today.
Key Highlights
Supply chain enterprises often struggle with accurate demand planning, which can lead to inefficient inventory management and operations.
Predictive analytics allows companies to assess risks such as machinery failure or poor demand forecasting, thus preventing serious financial losses and operational disruptions.
IoT sensors assist in monitoring vehicle conditions during delivery, immediately notifying relevant staff in case of any deviations, and can even automatically take action to prevent breakdowns.
Blockchain’s decentralization, encryption, and data immutability elevate your supply chain IT infrastructure, making it nearly invulnerable to hackers.
Top Supply Chain Management Risks
First, let’s take a look at the primary risks that can affect a supply chain. Of course, there are more than the four we outline below. However, these might be the most prevalent today and are the ones that modern technological innovations can help manage.
Labor Shortage
Consider this: 83% of global supply chain leaders think talent shortage is one of the primary challenges for their operations. Such a lack of qualified staff poses an enormous risk to businesses that are literally centered around efficiency and reliability.
Natural Disaster Risk
Natural disasters can also be significant supply chain disruptors. Things like volcanic eruptions, earthquakes, and other catastrophes can truly uproot logistical plans and result in enormous costs. In fact, DHL estimates that the annual global economic impact of these kinds of events could reach €328 billion.
Difficulty Estimating Demand
Demand patterns have changed immensely during the pandemic and continue to evolve constantly. As such, it has become very difficult for organizations to perform accurate demand planning. Of course, this poses a risk to supply chain firms as understocks and overstocks lead to missed opportunities and wasteful operations.
Cybersecurity
Finally, companies across industries are facing a major threat of cyberattacks in the increasingly digital modern world. Supply chain businesses are of course no exception. Phishing, malware, social engineering attacks, and other malicious activities are frequent. So, it’s crucial for supply chain leaders to prioritize cyber risk assessment and security initiatives within their firms.
What does supplier concentration risk mean, and how do businesses reduce it?
Supplier concentration risk arises when a company relies on a single supplier or region to get critical materials and services. Ideally, it’s worth partnering with a couple of suppliers, so if one faces some trouble, you have alternatives not to disrupt your operations and avoid financial losses.
Technologies for Better Supply Chain Risk Management
Now that we’ve covered the frequent challenges that can put a supply chain under risk, it’s time to discuss the various technologies and software solutions that can help tackle them and ease the stress on the management team.
Data Management Tools
One of the primary ways for your organization to reduce supply chain risks is the implementation of data management software. Consolidating digital information across the multiple sources you may have is imperative for greater visibility of entire operations and seamless monitoring of risk potential.
Moreover, integrating data across disparate systems and implementing tools like data warehouses to centralize everything sets you up for easier deployment of innovative technologies down the road.
By having an organized data infrastructure, you’ll be able to automate various repetitive processes and be able to spend more time on risk assessment. Plus, by eliminating data silos, any threat that arises will be easier to spot since your software will be working with up-to-date information.
Once you’ve implemented good supply chain data management practices, it’s time to capitalize on the well-organized information and deploy analytics software for risk forecasting. Being able to predict a risky issue before it happens is immensely powerful for businesses as it can save thousands of dollars. Thanks to predictive analytics, this is actually possible.
You see, data science-powered software can leverage the Big Data from your vast operations and run data models that forecast potential risk scenarios. For example, they can predict machinery failure, supply-demand discrepancies that can impact inventory levels, and more.
Additionally, thanks to prescriptive analytics, modern solutions can even suggest optimal ways for dealing with an issue or avoiding it altogether. Thus, helping you establish thorough contingency plans and be well-prepared if any trouble, including natural disasters, arises. So, definitely don’t underestimate the power of data analytics in supply chain operations.
Internet of Things
The Internet of Things technology is also integral to supply chain risk management in the modern world. Since IoT-powered software helps collect information about far-distanced objects, it not only provides excellent visibility of operations but also allows for running analytics on real-time data.
By embedding your trucks, warehouses, machinery, and other assets with smart sensors, you can always keep an eye on them and notice whenever a risk of an issue arises. For example, if your company is in charge of transporting condition-sensitive products, the risk of a problem occurring is higher since cargo can go bad if even a minor distortion occurs.
Yet, with the Internet of Things, you can minimize this risk by installing intelligent devices inside the vehicles to monitor the conditions. Then, if anything goes wrong, the driver can be immediately alerted and handle the issue, or the installed system might even automatically adjust conditions so that they return to suitable levels.
As you can imagine, this can truly minimize risks for your supply chain organization.
You have probably already heard about the potential of artificial intelligence solutions, but it is important to reiterate how valuable they can be when it comes to dealing with employees.
First and foremost, AI and machine learning algorithms can be used to automate and simplify parts of the recruitment process. They can automatically screen thousands of resumes in seconds. Thus, reducing the amount of manual tasks that your HR team has to do and helping them find the right candidates faster.
Labor shortage poses a large risk to supply chain companies because lack of skilled personnel can lead to delays and a negative impact on the bottom line. So, if AI-powered software can speed up the recruitment process — this kind of risk is naturally diminished.
Additionally, artificial intelligence can boost your staff training efforts. After all, once someone is hired, it is in your best interest to get them into top productivity as soon as possible. Well, with AI, this all becomes simpler.
You see, AI tools can quickly analyze performance data and identify if someone is falling behind with their onboarding program and not performing on par with the standards. Then, it can even create a personalized training plan for the employee in question to ensure that any missing skills are swiftly developed.
Once again, this kind of intelligent help not only speeds up HR efforts but also helps reduce labor shortage challenges since you can even utilize personalized training programs for upskilling existing team members.
Of course, AI plays a large role in helping supply chain organizations to manage other kinds of risk too. After all, algorithms can be deployed in various contexts and speed up data analysis immensely. However, since labor shortage is one of the major challenges the industry is facing — we thought it’d be important to discuss it in this context.
How is AI-driven predictive risk scoring for suppliers different from traditional risk assessment methods?
AI-driven predictive risk scoring combines up-to-date data with historical variable analytics to gain the most accurate possible risk forecasts. Data is handled through algorithms, which speeds up the process and minimizes errors. In comparison, traditional risk assessment approaches rely on static historical data and are typically handled manually.
Blockchain
Finally, if you’re deploying various kinds of tools to help with your supply chain risk management activities, the risk of cyber threats might also increase. Malware, phishing, hacking, and other attacks become a top concern when you’re working with data. After all, leaks can put a major stain on your company’s reputation and the safety of customer’s personal information.
So, it is important to strengthen your cybersecurity by setting up permission controls, implementing data stewardship standards, adding firewalls, and continuously monitoring the safety of your IT infrastructure.
However, besides these practices, it’s also a good idea to consider implementing blockchain tools. Primarily because their decentralization, encryption, and data immutability capabilities can significantly improve your digital security and make it harder for hackers, or even impossible, to damage your IT systems.
As we have seen, managing risk in the supply chain can be overwhelming, but the good news is — innovative technologies and software are here to help. Whether you want to predict issues, have better visibility of operations, or stay safe from cybersecurity attacks, implementing modern solutions is a logical next step.
If you’d like help identifying which IT solution is worth pursuing for better risk management in your unique case, don’t hesitate to reach out to Velvetech. Our specialists have spent years delivering state-of-the-art supply chain software development services. So, we will be able to quickly get on board and help you with your project.
We’ve accumulated solid experience across many industries and business cases and consolidated some of its examples in one place to help you make the right decision.
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