Apple Feels Impact of Forecast Error | Demand Foresight Blog

This blog is all about exploring the importance of reducing forecast error. It also explores the measurable impacts of achieving that reduction in error.  We have explored certain details like impacts on working capital, customer service and production efficiency.  We have pulled back and also discussed the more strategic bigger picture components of using forecast accuracy to drive important processes like sales and operations planning and financial reporting within the context of Sarbanes-Oxley.

However, I think we have been consistent that ultimately, improving forecasting is the first step in a long process of maximizing profitability and shareholder and stakeholder value.  The more forecast error a company (either private or public) accommodates or allows to exist within its value chain, the less valuable the company will be.

Unfortunately, this lesson has been brutally reinforced through recent reporting about Apple. It was revealed that Apple had dramatically cut orders for iPhone components. It was reported that this was primarily because demand was softer than expected.  In other words, the forecast was way off – it contained a lot of error. The result – an immediate 4% drop in the stock price worth billions of dollars.

Reducing forecasting error should be, consistently, one of the top 3 strategic initiatives of every leadership team of every for-profit company.

 

Forecasting Software to Increase Your ROI | Demand Foresight

Happy New Year!  2013 looks to bring a whole host of new challenges and opportunities for businesses to differentiate themselves and to thrive in an increasingly more competitive marketplace – just like last year.  Brings to mind the old quote from Jean-Baptiste Alphonse Karr (although probably more familiar to people who are fans of Kenny Chesney or Jon Bon Jovi) – the more things change, the more they stay the same.

Using that quote as an incredibly clever transition device, whatever the challenges and opportunities before us, there are a few key basic truths and one of the them is that as business people we have a fiduciary responsibility to maximize the value of our businesses over time and that is often measured through increasing cash flow and pre-tax profitability (net profitability has become a much more complex conversation).

Therefore, to start the year, I thought we would revisit and refine the value proposition of dramatically reducing your forecasting error.  All of the research supports that in today’s operating environment, improved forecasting is the number one option available, from an operational S&OP point of view, to most effectively, measurably and quickly improve your value chain performance and therefore improve cash flow, return on capital and pre-tax profitability.

How specifically can improved forecasting improve value chain performance? Not necessarily in order of importance or impact, improved forecasting should allow you to

  1. Increase revenues because:
    • Sales focus on their most profitable customers and products
    • Marketing more effectively supports sales and brand strategies
    • Customer service increases because there are less out-of-stocks
  2. Improve utilization of working capital because:
    • Inventories are reduced closer to what is needed
    • Raw materials, components and finished goods are purchased more in line with optimized production or deployment plans
    • Order to cash cycle times are greatly reduced
  3. Improve Return on Capital Employed because greater accuracy allows for more effective:
    • Master Scheduling of plant and materials (and personnel but often this is not included in capital calculation)
    • Constrained Planning
    • New asset / capital investment

These represent what can be improved – no doubt you are asking to what degree can I improve my returns on investment and capital employed and cash flow and pre-tax profitability.

Results are obviously dependent on the exact situation within each company however as a general rule of thumb, our experience shows that a 25% reduction in forecast error translates into a minimum 5% improvement in pre-tax profitability.

However, perhaps more compelling, independent research shows equal or greater impacts.

Specifically,

Dr. Hau Lee is the Thoma Professor of Operations, Information, and Technology at Stanford University; Co-director of The Stanford Global Supply Chain Management Forum; Director of Managing Your Supply Chain for Global Competitiveness Executive Program.

Given Dr. Lee’s long term research and cooperation with client companies, the impact of improving forecasting and focusing on demand drivers is significant.

“Distorted information from one end of a supply chain to the other can lead to tremendous inefficiencies: excessive inventory investment, poor customer service, lost revenues, misguided capacity plans, inactive transportation, and missed production schedules.”

 “I have already seen some companies using new software tools to manage their businesses based on demand, with results ranging between 50% and 100% in net profit increases, which in turn can easily be translated into enormous increases in shareholder and market values.”

Dr. John T. (Tom) Mentzer was the Harry J. and Vivienne R. Bruce Chair of Excellence in Business in the Department of Marketing, Logistics and Transportation at the University of Tennessee. He was a prolific researcher and author with 5 books on value chain excellence and competitive differentiation not to mention hundreds of articles to his name.

Dr. Mentzer extended his research, through the help of many colleagues and collaborators, to the measurable on a company’s performance. The single most clarifying result of improved forecasting highlight by Dr. Mentzer:

An increase of shareholder value of 15% or more!

Lastly, we refer to the Gartner Group which includes the recently merged business/supply chain analysts from AMR Research. There are a host of strong practitioners such as Noha Tohamy, Tim Payne, Mike Griswold, Dennis Gaughin, and Steve Steuterman just to name a few. Since January 2011 they have published a large number of research papers and articles that highlight the impact of improved demand forecasting. Their cumulative research has pointed to some significant findings.

Gartner’s measurable impacts of improved forecasting and demand planning:

  • 1% to 3% revenue increases
  • 15% to 30% inventory reductions
  • 20% to 30% order fill rate increases (Demand Foresight note – important to do 2 and 3 simultaneously)
  • 10% to 15% decreases in obsolete inventory
  • 3% to 5% increases in gross margin

Do you have an aggressive revenue, margin, cash flow and profitability plan for 2013 and/or for a number of years ahead? Are you mixing it up with aggressive and creative competition? Trying to differentiate your company and yourself?

I hope that as we kick off 2013 and all the possibilities and potentials still lie in front of us, you will take to heart that one of the most powerful investments you can make (and should make given fiduciary responsibility) that will have an immediate and long term positive impact on your performance (intentionally left blank – your company? Yours?)  is the investment in dramatically improving forecasting accuracy.

Looking forward to the conversations that are coming up.

 

Inventory Crisis: Santa’s Forecasting Software Deserves a Lump of Coal

‘Twas the week before Christmas and all thru the North Pole,
Every elf was slaving – his inventory to control!
The gadgets and toys were piled high on the sled,
But some seemed to be missing, so the I.T. guys were dead…
“How could this happen AGAIN,” they all moaned?
“I thought we upgraded – what do you mean, they postponed??”

They cursed their computers and questioned the stats:
“How could this be true – our forecasting software is bats!
We entered the numbers, the graphs, and the plans,
Yet still the result doesn’t meet the demands!”

Then Santa emerged with a large bag of coal.
“You’ve missed it AGAIN? But that wasn’t the goal!!”
Memories of Christmases past flew before him;
His thoughts about inventory grew more grim.

“We talked bout stats, we KNEW they were lame –
Last Christmas we failed, and they were to blame!
I thought we agreed to be bold and more clever –
I thought we banned stodgy old models forever!
We can’t be tied-down by inflexible apps,
Why we’re the North Pole – we’ve got presents to wrap!”

Once again the I.T. guys accepted their coal,
And returned to their desks for damage control.
“Next year will be different!” they resolutely exclaimed,
As they deleted the forecast that got Santa inflamed.
“Smarter software is out there, and we know what it’s called:
Demand Foresight, please help us to get it installed!”

As 2013 draws to a close, we at Demand Foresight hope that you’ve had a great year and look forward to an even better 2014. All the best to you and yours this holiday season!

Santa Claus Holding Finger to Mouth

 

Is Improved Demand Forecasting an Opportunity in a Challenging Environment?

I was perusing through the usual financial and business sources when I came across this interesting article in the Wall Street Journal titled, “Trying Times for Forecasting”. The article focuses mostly on financial forecasts and I think we have written a fair amount about the importance of making sure financial results derive from the same sources of data, professionals, and market input as the S&OP forecast – in fact, with differences only in level of detail, all three should be the same forecast.

However, this article raises a couple of interesting issues from the macro level – i.e. the value of financial forecasts and the impacts of external forces that I thought would be fun to dig into a bit.

First, all the participants in this article, and I would probably argue all officers of public companies and some private companies, agree to the value of demand forecasting and guidance.  Specifically they list three specific areas of value:

  1. A less volatile and more fully valued stock prices (big value, sweet spot on the fiduciary responsibility component)
  2. Credibility with Analysts (never underestimate the importance of your reputation)
  3. Confidence of stockholders large and small (directly related to #1 above)

Yet at the same time the value of accurate forecasting was highlighted, concrete examples were showing where companies were sharing less information less frequently thereby making the guidance less useful.  Specifically companies are:

  1. Increasing the min-max ranges (revenue will be 100 give or take a 100)
  2. Discontinuing the more difficult yet more meaningful variables
  3. Minimizing specifics.

This somewhat contradictory dynamic (to put it as nicely as possible) probably explains the huge swings in stock prices we have seen recently when forecasts have been missed – and when I mention huge swings I mean large drops in stock prices costing shareholders potentially billions of dollars in value;  An interesting case study in how to manage shareholder value and the role of fiduciary responsibility.

I would argue it does not need to be this way. It seems to me that the answer is more information, and more of it with better quality.  Given the right tools, process and strategic objectives (oh I don’t know – make sure our stock price is fully valued), companies should be able to provide forecasts that are accurate on the bedrock variables – revenues, margins, yields, growth rates etc.  In addition, they should actually be able to provide detailed scenarios to showcase how much time, energy and thought goes into considering all the risks to the value drives of their companies – both within their industries and within the greater global market place at large.

Imagine the increase in credibility if, rather than stop reporting on yields or revenue growth, a company were able to provide detailed scenarios about what is impacting those yields or growth rates.  The global forecast for interest rates is between A on the high side and B on the low side.  If interest rates hit A, that will decrease our revenue within this range.  If interest rates hit B, that will increase our revenue within this range.  Same applies to growth rates in target markets. What happens if the Euro Zone implodes?   Exchange rates diverge from historic norms?  Sure this all complex and to a large degree inter-related but rather than give up, dive in and tackle them and use them to provide a richer context for the guidance provided.

This will improve your credibility with the entire investing community, ensure a fair value for your company, and help realize a further return on the strategic investment to improve demand forecasting.

Demand Forecasting – Proven bang for the buck on the bottom line

Solving business problems and helping our partners create future profits – Demand Foresight is completely focused on these goals. We focus on delivering upon these through improving demand planning and overall S&OP operations and helping support transition to being a demand driven company.  Our experience in this work helps us quantify the impact of what we do – a minimum 5% improvement in pre-tax profitability.  But obviously we are not the only game in town and there is a tremendous body of work around demand forecasting and the impact of improving the forecast on various components of the supply/value chain.  It was brought up that we had never really highlighted some of this research so we went back and took a look at some of the source inspiration for our focus.  I hope you find this of value.

First up is Dr. Hau Lee.  He is the Thoma Professor of Operations, Information, and Technology at Stanford University; Co director of The Stanford Global Supply Chain Management Forum;  Director of Managing Your Supply Chain for Global Competitiveness Executive Program.

Dr. Lee’s signature idea is the “bullwhip effect,” a concept he co-developed in the 1990s, which has become a basic tenet in both academia and industry. When a person cracks a bullwhip, the small movements at the wrist produce huge waves at the other end of the whip, which describes how information on demand becomes increasingly exaggerated and distorted as it moves up the supply chain from customer to manufacturer to supplier, driving up costs and hurting efficiency.

There are several components to the cause, effect, and solution to the bullwhip effect which you can start to explore through the attached links but one key is that the demand forecasting capability plays a large role in the bullwhip and the effects can be devastating to a company’s value chain.  Specifically:

“Distorted information from one end of a supply chain to the other can lead to tremendous inefficiencies: excessive inventory investment, poor customer service, lost revenues, misguided capacity plans, inactive transportation, and missed production schedules.”

Given Dr. Lee’s long term research and cooperation with client companies, the impact of improving forecasting and focusing on demand drivers is significant.

“I have already seen some companies using new software tools to manage their businesses based on demand, with results ranging between 50% and 100% in net profit increases, which in turn can easily be translated into enormous increases in shareholder and market values.”

http://www.gsb.stanford.edu/news/bmag/sbsm1008/feature-lee.html

Next up is Dr. John Mentzer.  Dr. John T. (Tom) Mentzer was the Harry J. and Vivienne R. Bruce Chair of Excellence in Business in the Department of Marketing, Logistics and Transportation at the University of Tennessee. He was a prolific researcher and author with 5 books on value chain excellence and competitive differentiation not to mention hundreds of articles to his name.

One of his key areas of research highlighted competitive differentiation and included was a fairly definitive summary of what it took to develop a competitive differentiation in demand forecasting and demand planning.

Specifically, here are Dr. Mentzers’ 7 Keys to better forecasting:

  1. Understand what forecasting is and is not

  2. Forecast demand, plan supply

  3. Communication, cooperation, and collaboration

  4. Eliminate islands of analysis

  5. Use tools wisely

  6. Make it Important

  7. Measure, measure, measure

Most important of all was that Dr. Mentzer extended his research, through the help of many colleagues and collaborators, to the measurable impact (following his own guidance – measure) on a company’s performance.  There are a number of components to the result most of which you can begin to explore through the included links but from the point of view of an executive and/or member of the vaunted c-suite with specific fiduciary responsibility to all stakeholders of a company – the single most clarifying result of improved forecasting highlight by Dr.  Mentzer:

An increase of shareholder value of 15% or more!

http://bus.utk.edu/supplychain/forecasting/docs/Impact%20of%20Forecasting%20F99.pdf

http://www.uam.es/personal_pdi/economicas/rmc/prevision/pdf/seven_keys.pdf

Lastly, we referred to our friends at Garter which includes the recently merged business/supply chain analysts from AMR Research.  There are a host of strong practitioners such as Noha Tohamy, Tim Payne, Mike Griswold, Dennis Gaughin, and Steve Steurterman just to name a few. Since January 2011 they have published a large number of research papers and articles that highlight the impact of improved demand forecasting.  Unfortunately here we cannot include the source documentation links as that goes against policy and legal agreements, but please feel free to contact Gartner directly (www.gartner.com).  As they are a potentially important source of information for companies looking to make strategic investments in demand forecasting, sales and operations planning, and demand driven supply chains and networks.

Relevant to this blog post, their cumulative research has pointed to some significant findings.

Gartner’s measurable impacts of improved forecasting and demand planning:

  1. 1% to 3% revenue increases

  2. 15% to 30% inventory reductions

  3. 20% to 30% order fill rate increases (Demand Foresight note – important to do 2 and 3 simultaneously)

  4. 10% to 15% decreases in obsolete inventory

  5. 3% to 5% increases in gross margin

Independent of Demand Foresight and its experiences working with it partners, there is great research ongoing that undeniably highlights the benefits of focusing on improving demand forecasting and demand planning.  However, one consistent anomaly (kind of an oxymoron – A consistent anomaly?) that we notice is that while this highlighted research above as well as others all emphasize the importance of demand forecasting and measure the benefits of improved demand planning, very few of them talk about specific impacts based on higher percentages of accuracy.  Our suggestion and potential contribution to the field is what is the impact of improving accuracy by 5%? 10%?

Or as we ask all of our partners and potential partners – what would a minimum 25% reduction in forecast error mean to your bottom line?  Judging from our experience and the research– a huge amount!