Today's blog post is a Q&A session with leading supply chain and ERP influencer, Lisa Anderson.
Operational efficiencies, productivity improvements, and cost savings are the top-three strategic advantages of cloud-based supply chain management, according to an IDG survey of senior managers and directors around the world. To gain these advantages, enterprises need to have infrastructure that helps them cost-effectively harness their large data workloads and move to the cloud easily.
In fact, the biggest challenge for most companies is figuring out how to have their on-premises infrastructure engineered in such a way that it mirrors the capabilities of the cloud. This way, when companies are ready, they can take their supply-chain data and make a seamless, fast migration to the cloud. Whether you’re a manufacturer, retailer, or large corporation, companies looking to gain real-time, complete visibility in their supply chain require integrated infrastructure with scalable data storage, processing, and computing power to get the job done.
To better understand these benefits and how innovation and infrastructure are changing the supply chain, we spoke with Lisa Anderson, president of LMA Consulting Group. As an internationally recognized supply chain expert, she presents at conferences, such as the Global Supply Chain & Logistics Summit and the APICS International Conference, and is frequently quoted in the media, including The Wall Street Journal, ABC News, and The CEO Magazine. Ranked number 16 in SAP’s Supply Chain Influencers and recognized as one of the top 1 percent of consultants worldwide, Lisa has deep experience helping businesses maximize value.
You’ve said that the customer experience continues to play a role in the transformation of supply chain management. How is it impacting both B2C and B2B industries?
We’ve all become accustomed to getting whatever we need, whenever we need it, with frequent status updates and easy returns. We’ve raised the bar. And it leads to a host of challenges for vendors, mainly in the sense that they need a wide breadth of products available to meet customer demand at any time.
Even though the vast majority of my clients are not in the retail or B2C world, they're all impacted by this elevated experience. I was recently talking with a couple of distribution executives who said that, several years ago, there was a small percentage of deliveries that were due on the same day, if any. Now, roughly 80 percent of the orders they receive are expected on the same day. They’ve had to start working on Sundays because customers—including business customers—are expecting these extremely rapid deliveries.
There are several other ecommerce themes that are changing supply chain management. One is 24/7 accessibility: the ability to place orders and look up your order status whenever and wherever you are. Another is rapid customization. One of my clients has become number one in his industry by making sure his company provides not just rapid deliveries, but also quickly customized orders. His company does things like paint on the fly, which doesn’t normally happen in manufacturing.
What is the technology that is making this supply chain management transformation possible?
Blockchain impacts supply chain management by allowing for immediate visibility and transparency of global financial transactions—like electronic data interchange (EDI) on steroids. When products require traceability, such as if you have a recall, you can use blockchain to immediately see where your products are in the supply chain and who paid for what. That traceability can certainly be achieved within ERP software already, but if you require the next layer of complexity and immediate transparency, then blockchain technology could be useful.
Big data is another aspect of technology that is changing the supply chain landscape because companies can better tailor the customer experience when they know more about what the customer wants. IoT comes down to data, because you’re trying to attach the data together between different devices. In manufacturing, IoT shows up in preventive maintenance and anticipating when a machine might break down before it happens. When you see how different elements are working together, you can target what needs to be fixed or maintained, without just following a schedule that may or may not be addressing a real problem. This can reduce waste and improve efficiency.
But data is just as challenging as it is helpful. Before we get to work every day, we receive lots of messages between emails, texts, videos, billboards, and messages from our cars—everything is connected these days. The biggest challenge that my clients face is that they’re overwhelmed with data, but they also want and need the data to provide a better customer experience and understand what their customers really need. And they also want to figure out how to do that in a scalable and profitable way.
The challenge is how to sift through all the data that’s collected and put it all together into something meaningful and provide information at your fingertips. My clients are very interested in solutions like dashboards, and it’s a key ingredient in selecting the software; however, getting it implemented correctly is difficult.
It sounds like the right infrastructure that can manage multiple data sources and provide actionable insights can improve the entire supply chain process. What about the role of the ERP system in supply chain management?
We’ve improved supply chain performance significantly by focusing a lot of effort on the demand plan. Instead of using the older perspective of a monthly forecast and whether it’s accurate as is, we’re looking at how we can do this in a more agile, flexible way. The ERP system needs predictive analytics to be able to modify a demand forecast on the fly.
Also, by using vendor-managed inventory systems, we’ve been able to reduce lead times. We’re able to meet short lead time orders that we couldn’t previously meet, with the same or slightly lower inventory levels, at a 5 percent margin improvement. It wasn’t solely due to demand planning, but that was the first step.
Once you get beyond demand planning, the next element is going to be a more agile production schedule geared to the customer—one that's going to offer suggestions, give you notices, and be exception-based, so that you don't have to put as much manual effort into it. The demand plan flows down into the production schedule, and then capacity analysis is the next key topic.
What steps can enterprises do to modernize their supply chain management?
We’re in the era of the customer, so start with the demand side of the equation. There are ways, regardless of what your tool set is, to improve upon your demand now and your prediction of future demand. You may not have a system in place to do this yet, but regardless, you should be doing more to look at the demand within your supply chain.
One other quick tip is to look at what information you are getting out of your system and how you can better utilize that information. I find that no matter what client I’m working with, we can always do a better job of accessing information and taking the most relevant information to make better decisions. Even if your system isn’t yet modernized to the point of predictive analytics, you want to move in that direction. You can do this by just getting information from multiple sources and creating a simplified database.
What will supply chain management look like in five years or 10 years from now, and what technology can help take enterprises there?
We’re going to continue seeing the ecommerce effect: the importance of speed, responsiveness, and agility, and the rise of smaller, more frequent orders. All of my clients are interested in managing their vast supply chain networks with lower costs, but better service. They’re trying to find technology to support these goals and figure out how to automate using AI and data.
One ideal future is with 3D printing, because you can print what you need, where you need it, when you need it, and further extend your supply chain. Even then, distribution is going to have costs associated with it, and the last mile will continue to be one of the biggest challenges. Delivering all these smaller, more frequent orders to both consumers and businesses impacts transportation negatively and your distribution network significantly. You need your inventory strategically located closer to a customer, or to have flexible manufacturing capabilities that can respond quickly to demand. The system comes into the picture when you want to set up your network to have what you need, where you need it. How to improve delivery metrics will continue to be a key consideration in the future.
If we can reduce the cost to manufacture and distribute inventory by leveraging supply chain management tools, we can reduce prices and actually do something as radical as bringing more manufacturing back to the U.S.
Take a Deeper Dive…
Supply chain management professionals are eager for new ways to leverage data to drive business value. It is important to understand, however, that successfully using big data requires the right infrastructure designed to manage multiple data sources and provide the computing power to deliver actionable insights across the entire supply chain process. The key to gaining business value from supply chain data is by using big data infrastructure that can acquire, store, process, and analyze huge amounts of data workloads for supply chain insights.
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