Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo


Unsupported browser: Your browser does not meet modern web standards. See how it scores »

{ action.text }

Dell learned a tough lesson a year ago. In the quarter that included the 2009 holiday season, its revenue jumped 11 percent, which sounds like good news: the company sold more computers than it had in the same quarter the year before. But its net income dropped 5 percent during the same period. Dell was making less money on each machine it sold. Perhaps most distressing for Dell and its stockholders, one of the biggest reasons for the shortfall was that the company had been caught off guard. Prices for key computer components, especially memory chips, had risen more than Dell had expected.

The fact that Dell, which sells $60 billion worth of products annually, was insufficiently prepared for a price spike in its supply chain is a reminder that even some of the world’s most complex businesses have struggled to master predictive modeling, the technology at the heart of this month’s Business Impact report. Since that bad holiday quarter, the company has tried to get more sophisticated in its modeling efforts, but it’s not clear it’s had much of an effect.

To understand Dell’s situation, you have to go back to the start. After being founded in Michael Dell’s dorm room at the University of Texas at Austin in 1984, the company mastered the science of supply-chain efficiency. It was a model that made Dell the top-performing stock in the S&P 500 during the 1990s. Because it curtailed its retail store business early on and sold directly to consumers and businesses, Dell could build computers “just in time,” which meant that it didn’t have to assemble a machine and then let it sit in a warehouse or a retail location until someone bought it. Instead, it generally put together PCs only after customers had already ordered them. That meant Dell could order certain parts for its computers just days before they were needed—and often not pay for them until after the assembled computers were shipped off to customers.

But in the past few years, Dell has tried to expand its market by selling in stores. That has forced Dell to deal with several new challenges, among them that big chains such as Best Buy and Wal-Mart stock their shelves with a fixed lineup of PCs rather than customizing machines for each buyer. “We’ve had to change the entire supply chain to build fixed configurations,” the company’s chief financial officer, Brian Gladden, recently told Technology Review. And retailers order these machines months in advance, not days or weeks.

As a result, Dell must try to figure out over the summer what to charge for PCs that will actually be made and sold during the holiday season. If the price of a major component such as memory chips jumps between July and December, Dell’s profits can get squeezed. That’s what happened in 2009. Even a plunge in prices can be damaging, because the company hedges many of its component purchases to lock in prices within a certain range. If prices fall way below the expected level, it has overspent for the parts.

0 comments about this story. Start the discussion »

Credit: Mark McKie

Tagged: Business, Business Impact, business, Predictive Modeling, Dell

Reprints and Permissions | Send feedback to the editor

From the Archives


Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me