Top 5 Reasons to Invest in a Supply Chain Management System
- In a time when technology is transforming the business capabilities, companies are having to adapt their traditional norms and values to suit a new set of consumer demands and expectations. So too are supply chains. Yes, that’s right. The globally-spanning supply chain networks created thousands of years ago are also being forced from their stalwart position of steadfast robustness to a contemporary nature of agility and flexibility, to provide resilience in an increasingly volatile world.
A supply chain is a sophisticated network of relationships, often spanning the globe, shared between customers and retailers; distributors and suppliers, and finally, manufacturers. The aim of the system is to help optimise efficiency and profitability whilst simultaneously matching the supply and demand with logistics and recipients. It can be hard to get a supply chain running optimally, which is why leading tech companies, like Oracle NetSuite, offer ERP () software, which does a lot of the hard work for you, to help businesses continue to thrive in markets saturated with competition.
ERP systems, I should add, offer a centralised database for a myriad of business processes, reduces manual labour and simplifies business workflows and . Software like provides a dashboard from which users can check out real-time data feeds, collated from every measurable corner of the business so that analysts can measure productivity and profitability in the relevant sectors. You’ll be better enabled to run leaner operations, strengthen supplier relationships, forecast with confidence, courtesy of the help you get from timely information and insights provided by the ERP system.
Top 5 Benefits of Supply Chain Management Systems
1. Total Visibility
When it comes to running your company, it feels great to have a complete overview of business operations, at your fingertips. That is a feeling that supply chain management software can give its users, with advanced analytics and accurate, real-time data on a neat, centralised platform.
2. Risk Management and Mitigation
Almost every company that manages a modern supply chain will have a network spanning the globe; in many cases, thousands of individuals and hundreds of locations are involved. There’s a lot that could go wrong over such a wide web. The best ERP systems will help predict and warn you of potential risks across the network, and may source alternative solutions hastily.
3. Forecasting and Inventory Optimisation
A key aspect of supply chain management is the estimation or forecast of potential demand for products and services. helps companies to accurately predict demand, which may result in a minimised inventory ─ fitting into the much-loved ‘lean’ and just-in-time (JIT) mentality, created and endorsed by Toyota, decades ago.
Where there is human interaction, there is, unfortunately, the risk of mistakes ─ some costly, some not. ERP systems automate traditionally manual processes, cutting out the human element of activity, to help ensure that inputs and actions are accurate.
5. Thinking Fast
I’ve already outlined that the nature of supply chain is, in modern times, incredibly volatile; because of this, companies must think fast and avoid floundering when faced with adversity and rapidly changing market conditions. ERP supply chain management systems, with their integrated data analytics and interconnectivity, help place the facts and figures in front of the relevant people fast. This helps leaders to make snappy decisions in tight spots.
Investing In The Future
Networks are increasing in size and complexity, while the markets are becoming oversaturated, and competition grows fiercer. To stay on top, you must invest in software and tools that can analyse your current activity and innovate more effective and efficient supply chain management solutions for your future strategies.
Work smarter, not harder.
NTT DATA Services, Remodelling Supply Chains for Resilience
Joey Dean, the man with the coolest name ever and Managing Director in the healthcare consulting practice for NTT DATA and is focused on delivering workplace transformation and enabling the future workforce for healthcare providers. Dean also leads client innovation programs to enhance service delivery and business outcomes for clients.
The pandemic has shifted priorities and created opportunities to do things differently, and companies are now looking to build more resilient supply chains, none needed more urgently than those within the healthcare system. Dean shares with us how he feels they can get there.
A Multi-Vendor Sourcing Approach
“Healthcare systems cannot afford delays in the supply chain when there are lives at stake. Healthcare procurement teams are looking at multi-vendor sourcing strategies, stockpiling more inventory, and ways to use data and AI to have a predictive view into the future and drive greater efficiency.
“The priority should be to shore up procurement channels and re-evaluate inventory management norms, i.e. stockpiling for assurance. Health systems should take the opportunity to renegotiate with their current vendors and broaden the supplier channel. Through those efforts, work with suppliers that have greater geographic diversity and transparency around manufacturing data, process, and continuity plans,” says Dean.
But here ensues the never-ending battle of domestic vs global supply chains. As I see it, domestic sourcing limits the high-risk exposure related to offshore sourcing— Canada’s issue with importing the vaccine is a good example of that. So, of course, I had to ask, for lifesaving products, is building domestic capabilities an option that is being considered?
“Domestic supply chains are sparse or have a high dependence on overseas centres for parts and raw materials. There are measures being discussed from a legislative perspective to drive more domestic sourcing, and there will need to be a concerted effort by Western countries through a mix of investments and financial incentives,” Dean explains.
Wielding Big Tech for Better Outcomes
So, that’s a long way off. In the meantime, leveraging technology is another way to mitigate the risks that lie within global supply chains while decreasing costs and improving quality. Dean expands on the potential of blockchain and AI in the industry.
“Blockchain is particularly interesting in creating more transparency and visibility across all supply chain activities. Organisations can create a decentralised record of all transactions to track assets from production to delivery or use by end-user. This increased supply chain transparency provides more visibility to both buyers and suppliers to resolve disputes and build more trusting relationships. Another benefit is that the validation of data is more efficient to prioritise time on the delivery of goods and services to reduce cost and improve quality.
“Artificial Intelligence and Machine Learning (AI/ML) is another area where there’s incredible value in processing massive amounts of data to aggregate and normalise the data to produce proactive recommendations on actions to improve the speed and cost-efficiency of the supply chain.”
Evolving Procurement Models
From asking more of suppliers to beefing up stocks, Dean believes procurement models should be remodelled to favour resilience, mitigate risk and ensure the needs of the customer are kept in view.
“The bottom line is that healthcare systems are expecting more from their suppliers. While transactional approaches focused solely on price and transactions have been the norm, collaborative relationships, where the buyer and supplier establish mutual objectives and outcomes, drives a trusting and transparent relationship. Healthcare systems are also looking to multi-vendor strategies to mitigate risk, so it is imperative for suppliers to stand out and embrace evolving procurement models.
“Healthcare systems are looking at partners that can establish domestic centres for supplies to mitigate the risks of having ‘all of their eggs’ in overseas locations. Suppliers should look to perform a strategic evaluation review that includes a distribution network analysis and distribution footprint review to understand cost, service, flexibility, and risks. Included in that strategy should be a “voice of the customer” assessment to understand current pain points and needs of customers.”
“Healthcare supply chain leaders are re-evaluating the Just In Time (JIT) model with supplies delivered on a regular basis. The approach does not require an investment in infrastructure but leaves organisations open to risk of disruption. Having domestic centres and warehousing from suppliers gives healthcare systems the ability to have inventory on hand without having to invest in their own infrastructure. Also, in the spirit of transparency, having predictive views into inventory levels can help enable better decision making from both sides.”
But, again, I had to ask, what about the risks and associated costs that come with higher inventory levels, such as expired product if there isn’t fast enough turnover, tying up cash flow, warehousing and inventory management costs?
“In the current supply chain environment, it is advisable for buyers to carry an in-house inventory on a just-in-time basis, while suppliers take a just-in-case approach, preserving capacity for surges, retaining safety stock, and building rapid replenishment channels for restock. But the risk of expired product is very real. This could be curbed with better data intelligence and improved technology that could forecast surges and predictively automate future supply needs. In this way, ordering would be more data-driven and rationalised to align with anticipated surges. Further adoption of data and intelligence and will be crucial for modernised buying in the new normal.
These are tough tasks, so I asked Dean to speak to some of the challenges. Luckily, he’s a patient guy with a lot to say.
On managing stakeholders and ensuring alignment on priorities and objectives, Dean says, “In order for managing stakeholders to stay aligned on priorities, they’ll need more transparency and collaborative win-win business relationships in which both healthcare systems and medical device manufacturers are equally committed to each other’s success. On the healthcare side, they need to understand where parts and products are manufactured to perform more predictive data and analytics for forecasting and planning efforts. And the manufacturers should offer more data transparency which will result in better planning and forecasting to navigate the ebbs and flows and enable better decision-making by healthcare systems.
Due to the sensitive nature of the information being requested, the effort to increase visibility is typically met with a lot of reluctance and push back. Dean essentially puts the onus back on suppliers to get with the times. “Traditionally, the relationships between buyers and suppliers are transactional, based only on the transaction between the two parties: what is the supplier providing, at what cost, and for what length of time. The relationship begins and ends there. The tide is shifting, and buyers expect more from their suppliers, especially given what the pandemic exposed around the fragility of the supply chain. The suppliers that get ahead of this will not only reap the benefits of improved relationships, but they will be able to take action on insights derived from greater visibility to manage risks more effectively.”
He offers a final tip. “A first step in enabling a supply chain data exchange is to make sure partners and buyers are aware of the conditions throughout the supply chain based on real-time data to enable predictive views into delays and disruptions. With well understand data sets, both parties can respond more effectively and work together when disruptions occur.”
As for where supply chain is heading, Dean says, “Moving forward, we’ll continue to see a shift toward Robotic Process Automation (RPA), Artificial Intelligence (AI), and advanced analytics to optimise the supply chain. The pandemic, as it has done in many other industries, will accelerate the move to digital, with the benefits of improving efficiency, visibility, and error rate. AI can consume enormous amounts of data to drive real-time pattern detection and mitigate risk from global disruptive events.”