Lora's Latest Post

Decline In Performance in Consumer Products. Are You To Blame?

On Thursday morning, I began an engagement with a food manufacturer attempting to drive “Supply Chain 2.0.” When I asked for a definition, the phone was silent. The answer was not clear to them. (They wished that I had not answered the question… ) So, I want to give you a helping hand.
My observation? Most companies have a hairy, audacious goal, but have failed to give it definition. The names vary–Industry 4.0, a digital supply chain strategy or Supply Chain of the Future—but the pattern is the same.  Teams are moseying down the path of doing what they have done for years, but with a renewed focus on efficiency, and doing it faster. My answer? We need to be honest with ourselves. Conventional supply chain strategies did not serve us well for the past decade, and making them faster and more efficient is fools’ play.

Fool’s Play

We then viewed the team’s strategy. The goal was to save money in the back office to fuel growth in sales and marketing. I hate pushing back on a well-intended team and share bad news, but their strategy is flawed. (Along with most companies in consumer products…)
Let me explain. Most companies that I work, over the last decade, pursued a low-hanging fruit strategy over the last decade:

  • Save money in the supply chain: squeeze suppliers, increase asset utilization, and reduce costs.
  • Shift the savings to drive marketing and sales programs.
  • Marketing invests in new product launch and traditional demand shaping programs.

The result?

  • New products and demand shaping programs increase complexity and demand variability. As variability increases, there is a need for proportionately more assets (as a buffer), and a need to pursue agility programs like platform rationalization and postponement. Yet, less than 10% of companies actively pursue these agility strategies.
  • Over the years, the supply chain capabilities increase for high volume and very predictable products, but not for the shift in product mix for higher demand variability.
  • Only 9% of companies actively design their supply chains. Less than 15% of Companies use technologies to set targets for the form and function of inventory, and less than 29% of companies quickly access and manage total cost information.

For the last decade, companies have attempted this strategy and failed. Let’s start the discussion by reviewing aggregate results from consumer manufacturers. I am sharing an example of three industries moving backward on margin and inventory turns. This is despite all of the attempts to improve these results. My conclusion? Our strategies are flawed.
Figure 1. Personal Products Manufacturers Industry Averages for the Period of 2010-2019
Figure 2. Industry Averages for Food Manufacturers for the Period of 2010-2019

Figure 3. Industry Averages for Apparel Manufacturers for the Period of 2010-2019

Why? Why? Why? Why? Why?

I like the five why technique. So, I asked myself why as I did this work. Here are my six that come to mind, I welcome yours as we REALLY need to reverse these trends:

  1. Supply Chain as a Function Not a Capability. The only companies bucking this trend are managing the supply chain as a capability. When supply chain is a function competing with other functions, deleterious results occur. Most companies are marketing-driven not market-driven. As a result, complexity increases without a focus on value for the end consumer. The organization is not aligned on value-based growth strategies.
  2. Focus on Inputs. Not Outputs.  The determination of plans is completed mainly on spreadsheets even though over 80% of companies own an Advanced Planning System. As demand variability increased, Companies did not design and account for the impact. (Modeling variability on a spreadsheet is virtually impossible.) Also, as companies chased the lower cost of labor, they were blind to total cost impacts of inefficiencies of longer-lead times and shifts in supplier reliability. Only 50% of companies actively model and connect S&OP execution to planning, and few understand that since they have not accounted for variability, that they are pursuing an infeasible plan.
  3. Design. I am bewildered why so few companies actively design their supply chains and account for variability. The impact of variability and complexity is only evident through what-if discrete simulation and optimization.
  4. Blind Implementation of Efficiency Strategies. Most consultants push strategies for the efficient supply chain (lowest cost per unit). However, as variability increases, the efficient supply chain is not effective. As a result, all of the tightly integrated transactional systems become problematic. Harmonization, synchronization, and bi-directional orchestration trumps integration as complexity increases.
  5. Management of Complexity. This week, E2open published its annual report on forecast accuracy. (Kudos to Rob Byrne, this remains one of the best pieces published in the industry on demand management practices.) In the findings, they share, “Since 2010, portfolio complexity has increased at more than twice the rate of sales, rising by 44% compared to an 18% growth in revenue. The result is a 22% erosion of the average sales productivity per item over this period. 44% are active items. Since 2010, the number of cumulative items rose by a staggering 296%. With one-third of items added each year, the aggregate figure quickly adds up. While most are discontinued, each introduction and discontinuation has inherent costs.[1]
  6. Focus on New Product Introduction Versus Business Model Innovation. Traditional marketing programs chase product innovation. Most business leaders see new business model innovation as too risky; yet, most of the growth in the sectors comes from business process innovation, not a new product launch process.

Take a Deep Breath

I know of no company that managed complexity and successfully buffered variability. Supply chains need to be fit for function. In the last decade, we have aggressively increased complexity while reducing capabilities to manage complexity. Is it any wonder that we are driving industry results in the wrong direction? You can start now to be a part of the solution versus part of the problem. Take the following steps:

  • Manage demand as a river. Type your supply chains based on the Coefficient of Variation and design each flow. Hold yourself accountable for Forecast Value Added on each stream.
  • Clearly define your strategies. Don’t fall for industry mumbo jumbo.
  • Design your supply chains based on emerging business models from the customer back. Recognize that there are many logical supply chain models, not just one. Design each for success. Challenge the team to embrace the art of the possible. Continually test and learn.
  • Focus on outputs and hold yourself accountable for a balanced scorecard of growth, cost, inventory turns, and Return on Invested Capital (ROIC). Shift functional metrics to focus on reliability. Actively assess the effectiveness of the S&OP process to the balanced scorecard.
  • Show those low-hanging fruit consultants touting traditional programs the door. You know the one. It has the large letters EXIT above it.

I hope this helps. Look for the Supply Chains to Admire analysis in July. I am actively pounding my keyboard to complete the report for 2010-2019. Here is a teaser: only 4% of companies drove improvement faster than peer group and outperformed in their sector. The Supply Chains to Admire analysis and the Gartner Top 25 only have one company in common. What does this say? My belief? What we think drives balance sheet performance is not aligned with actual performance. There is a need for supply chain leaders to hold themselves accountable to drive value, not just cost; and align with the organization to design the supply chain that can deliver results as business models change.
[1] E2open study on Forecasting, June 2020

Search the Archives
Search
Share this Post
Email
Twitter
LinkedIn
Facebook
Pinterest
WhatsApp
Featured Image
Recent Posts

The Myth of End-to-End Planning

Supply chain planning, supply management, supply chain execution, network design, and transportation/logistics management operate in silos. Not much has changed over four decades. The connections flow back through transactional systems: order-to-cash and procure-to-pay. There is a myth that companies can buy an end-to-end supply chain management solution. This is largely a myth. Here we explain.

Read More »

Lead Time: A Broken Gossamer

If you are struggling with supply chain planning, dancing in the light of shiny objects, and scratching your head, please read on. My goal is to help you.

Please do not AI Stupid. What do I mean? AI Stupid is putting agents and agentics on top of existing architectures believing that making them faster and hands free add value. To me, this is fools play.

I love AI. I am excited about new technologies. To this end, I want to shine a light on how new technologies can help address the black holes and inconsistencies in today’s supply chain, which largely stem from the limitations of the first generation of supply chain planning and execution technologies. In this blog, I give you three places to start.

Read More »

Do You Need a Supply Chain Coach?

Supply chain is where the rubber hits the road. For a public company, over 40% of market capitalization is tied to the trade-offs between growth, operating margin, inventory management, and Return on Capital Employed.

The road for supply chain improvement is fraught with issues. Here we share some and offer some advice.

Read More »

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 »