Lora's Latest Post

Building the Network of Networks

Today I am facilitating a share group. The dream is to build a Network of Networks. The goal is to close current gaps, to build inter-enterprise visibility, and improve interoperability between businesses.  Today the gaps are large. The solutions to close the gaps are not easy.
In attendance are manufacturing representatives from BASF, BerryGlobal, Corning, Covestro, Grace, Evonik, Intel, Monsanto, and Smith’s Detection.  Prior attendance included Adama, Dow, J&J, Nestle, P&G, Siemens, and Schneider Electric. It is a meeting of equals. Technologists and manufacturers working together to try to define multi-tier processes to redefine B2B.
There are no sponsorships. The meetings are open. Technologists in attendance for recent sessions include Boardwalktech, Centrifuge, Crosslinx, Elemica, ECCMA, GS1, GSQA, and Infor/GT Nexus. Prior technologists included Cloudera, Enterra Solutions, IBM, and Microsoft. The group meets quarterly with monthly conference calls in between the quarterly meetings. There is an active group in Europe and North America.
We are attempting to separate hype from reality and to test new technologies to try to redefine B2B processes. The reason? Frustration abounds. Traditional thinking on linear optimization and enterprise automation is not equal to the challenge. Stuck, only 10% of manufacturers are driving improvement (90% of companies are unable to drive improvement at the intersection of inventory management, operating margin and customer service).
Transactional and linear thinking defined traditional thinking. The focus on enterprise efficiency is limiting. We are attempting to define outside-in processes. The group is working on case studies to test new technologies like blockchain, cognitive computing, supply chain operating networks, and open source analytics.
Figure 1. Shifts from Traditional Thinking to Drive the Digital Transformation

Why Should You Care?
Companies are busy. Information Technology teams focus is on long and drawn-out ERP deployments. It is hard to shift gears to drive a digital transformation and build value networks. So, the first question is “Why should I care?” Let me start by giving three reasons–brand protection, business continuity, and growth. These three drivers are why supply chain leaders should work together to build the Network of Networks:

  1. Brand Protection. On November 2012, the executives of Walmart awoke to find that they were front page news. Fires in a Bangladesh sewing factory resulted in 112 deaths. The factory was a second-tier supplier to a primary Walmart supplier. Factory conditions did not meet Walmart’s standards, but the garments were outsourced to a substandard factory by a contract manufacturer. Today, over 90% of companies have corporate social responsibility statements, but 70% of nonrenewable resources are in value networks. Only 20% of companies are taking ownership of their networks.

Figure 2. The Gap in Value Networks in Driving Social Responsibility

2. Business Continuity. In 2017, supplier performance issues resulted in the bankruptcy of Aerosoles. The company could not recover and restore customer service. Demand error is increasing and supplier viability is a growing risk.  Port infrastructure and logistics capacity are growing issues. The average company has two to three material events due to supply chain issues.

Figure 3. Risk Drivers and Business Continuity

3. Market Opportunity. Growth. Market growth is now 1% versus the 2.5-3% of the last decade. Growth opportunities are increasingly intertwined with the redesign of new business models. Most companies operate blind. In 2007, it took six months for companies to sense the downturn in markets and align supply chains. Today, we have not fixed this problem. Companies cannot sense and adapt. The focus on functional excellence–sales and marketing through technologies like CRM– puts a company on the back foot. The company cannot adapt and change as markets shift.

Figure 4. Managing Demand Across Value Network

Building Blocks
As a part of the Network of Networks, the group initiates pilots to test and learn using new technologies. The hype about Blockchain and cognitive computing is rampant, giving great fodder to Dilbert cartoons. Through work with leading technologists, the group better understands both the current limitations and opportunities of Blockchain.
Together, the group is attempting to understand the future of these technologies and the potential to redefine multi-tier processes. An example is the European pilot outlined in Figure 5. Since Blockchain technologies are currently limited in scalability, and the ability to connect many parties to many parties, the group is using Blockchain to connect existing supply chain operating networks. (Most Blockchain deployments are one-company to one-company, or one-company to many-companies. The technology is not scalable to support a many-to-many architecture.)
This pilot uses Elemica and Crossinx as nodes on a public Blockchain. Through this pilot, we are trying to connect structured data (transactions) and unstructured data (contracts and documents) to enable multi-tier payment. Long-term, the flows of this pilot could automate multi-tier many-to-many matching processes of invoices, deductions, and returns, to automate payment and streamline processes.
Figure 5. European Blockchain Pilot

As we think about multi-tier process evolution in the future, we cannot be limited by current thinking. We need to challenge supply chain fundamentals. For example:

  1. Orders? If companies use streaming data through the Internet of Things to drive replenishment, do we need customer orders?
  2. Contracts? We have a lot of lawyers that negotiate a lot of contracts that are never used in supply chain processes. How do we connect transactional flows to enable contract compliance?
  3. Risk? How do we drive multi-tier visibility of brand risk? Better manage supplier development?
  4. Asset Utilization? Is there a possibility to drive better asset utilization of trucks and vehicles? (40% of trucks move empty on roads today.)
  5. Waste? In 2050, we will struggle to feed the world. The world will need to produce 69% more calories by 2050, given a global population of 9.6 billion people. Yet today, we throw away 1.3 billion tons of food a year.
  6. Onboarding? Today, it takes an average of three months to onboard suppliers into enterprise systems. Onboarding is a barrier to driving network effectiveness.

A Set of Truths
At the end of the meeting, we put a list of truths from our session on the board. This is the set of belief statements from the work that we have done together:

  1. Connectivity. Blockchain technology is new and evolving. It is over-hyped. There is more unknown than known. We cannot find any use cases that demonstrate the use of blockchain for many-to-many networks. As a result, to build many-to-many capabilities, we are testing the use of blockchain to link Supply Chain Operating Networks (Elemica, E2Open, GtNexus/Infor, SupplyOn and Ariba).
  2. Current State of Supply Chain Operating Networks. Interoperability between existing Supply Chain Operating Networks today is very limited. There is more connectivity between GTNexus/Infor and Elemica than other nodes. This is an area of opportunity.
  3. Return on Investment of the Work. While the group believes that there is great value for growth, improving business continuity and driving revenue through new business models in the building of network of networks. Today, there is no definitive ROI. We have five active case studies. We will use the insights from these case studies to define the potential ROI.
  4. Use of Standards. Data definition is important. The group’s understanding of industry standards has evolved. The greater use of GS1 and ISO standards is an opportunity for all.

Next Steps
It is clear. The current focus on improving vertical silo efficiency through investment in ERP has diminishing returns. The opportunity lies in building better networks. We hope to see you at the next meetings:

  • June 25th-26th at Evonik in Hanau, Germany
  • July 16th in North America (current thinking is Charlotte or Chicago)
Search the Archives
Search
Share this Post
Email
Twitter
LinkedIn
Facebook
Pinterest
WhatsApp
Featured Image
Recent Posts

Is your Supply Chain AI Ready?

A simple quiz to assess an organization’s AI readiness.

The pace of change is fast and furious. Every day, technology advances faster than we can digest. A great challenge to have.

Determining whether a supply chain is “AI-ready” is less about technology and more about the gray matter between the ears of supply chain leaders. Leadership, alignment, and clarity of goals matter.

Too few companies are clear on the definition of supply chain excellence. Measuring and rewarding functional metrics reduces the firm’s value. Putting agentics on top of today’s processes can make bad practices run faster, reducing value.

The toughest job for the supply chain leader is challenging existing supply chain paradigms that were defined by the limitations of decades of supply chain technologies. As the curtain lifts on the potential of new forms of technology, process redefinition is our opportunity, but only if we are clear on what drives value. (Here, I link to the Supply Chains to Admire reports to help you define value. The next report will be published on June 23rd, along with my Dynamic Benchmarking Product, to help you define value in the face of your AI readiness. More information about the launch is at the bottom of this blog.)

Read More »

Case Study: A Scrappy Demand Management Approach

This study of Franklin Sports shines a light on the work that needs to be done at the sales account level to challenge a retail forecast, and also highlights the importance of a new technique for a forecast engine — reinforcement learning.

Artificial intelligence comes in many forms — large language models, generative AI, machine learning, unstructured text mining, deep learning, neural networks, reinforcement learning, agents, and agentics. While the industry is wigging out about agentics, I think reinforcement learning is a great step forward in the journey of Artificial Intelligence.

Read More »

Can We Side-Step the AI Spin Cycle?

When it comes to combining tech, 1+1+1 should equal more than 1. The impact should be exponential. Unfortunately, today, the answer is 0.

What do I mean? Let me explain.

I find that the supply chain technology market moves slowly along traditional technology lines. Conferences are usually focused on the use of technology, not on redefining work. This bothers me. I want it to bother you as well.

Here I share some insights to drive change.

Read More »

Supply Chain Health Check: The Power of an Orbit Chart

An orbit chart is a powerful tool for understanding the “health” of a supply chain and its potential for improvement. The supply chain is a complex, non-linear system with limited trade-offs. The relationship between trade-offs varies by industry, region, and size. The orbit chart is a diagnostic we use in the Supply Chains to Admire work. Here I explain the use case.

Read More »

Are You Writing a Check You Cannot Cash?

Don’t let a well-intending, but ill-informed consultant or technologist set an expectation that you cannot meet. No when wins when there is a check written that cannot be cashed. In this case, the consultant will move to the next account leaving you holding the bag. Fight back with a data-driven argument. Help the organization think about inventory more holistically.

Read More »