The enemy of knowledge is not ignorance, it’s the illusion of knowledge (Stephen Hawking)

It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so (Mark Twain)

Invest with smart knowledge and objective odds

NEW$ & VIEW$ (12 FEBRUARY 2014)

FIRM BUT FLEXIBLE
  • Fed to Keep Course on Bond-Buy Cuts The U.S. economic outlook would have to take a distinctive turn for the worse before the Fed considers halting its reduction of bond purchases, Yellen said.

(…) Some recent economic data have been soft, Ms. Yellen noted in her steady-as-she-goes comments before the House Financial Services Committee, but she doesn’t want to overreact to that. (…)

Asked what would cause the Fed to alter its course, Ms. Yellen responded it would take a “noticeable change” in its outlook for growth, employment or inflation. (…)

  • BOE Raises U.K. Growth Outlook The Bank of England said the U.K. economy will grow much faster this year than it previously thought but that interest rates will remain low for some time to come.

The bank now forecasts that the U.K. economy will grow by 3.4% this year, much quicker than the 2.8% forecast in November.

The BOE also said it expects upcoming data will show the unemployment rate in the U.K. fell to 7% in January, more than two years earlier than officials predicted in August when they chose 7% as the point at which they would consider a rise in interest rates. This policy, known as forward guidance, has been a cornerstone of Governor Mark Carney’s leadership since he took the helm at the BOE in July.

In its quarterly inflation report, the U.K. central bank stepped away from tying a rise in its benchmark interest rate to progress on unemployment, saying officials will now take a broader look at how many hours Britons are working and other labor-market signals to assess whether they need to tighten policy. (…)

The Canadian was asked repeatedly whether the public will comprehend the role of the 18 new economic variables the BOE included in its forecasts as signposts for future changes in policy. (…)

“For a sustained and balanced recovery, the degree of stimulus will need to remain exceptional for some time,” Mr. Carney said. (…)

SOFT PATCH WATCH
As Inventories Soar, Car Makers Bet on Pricing

On Tuesday, automotive sales tracking firm ALG Inc. warned industry inventory levels in January were the highest since August 2009, when the recession was in full force. It took U.S. dealers in January an average of 59 days to sell a new vehicle, nine days longer than the same period a year earlier and the highest level since the 68-day peak in 2009.

None of the auto makers say they plan to reduce production to counter the inventory overhang. Paring output would reduce pressure to discount, but auto maker’s book revenue when they ship vehicles to dealers and any slowdown would hit first-quarter revenue.

They are counting on dealers to cut the backlog—without a wholesale change in manufacturers’ incentives or production schedules. (…)

So far, says IHS IHS +0.45% automotive analyst Tom Libby, GM and other car makers figure “it is cheaper to offer these incentives than to shut the plants. The problem is once you turn it on, [discounting] it is hard to turn it off, and now we are looking at another challenging month with February.”

Mortgage Applications Decrease in Latest MBA Weekly Survey

The seasonally adjusted Purchase Index decreased 5 percent from one week earlier.

Angel Boehner breaks with Tea Party, backs away from debt fight

The current era of budget brinksmanship in Washington appears to be over, as Republican leaders shift strategy ahead of midterm elections in November.

House Speaker John Boehner, the de facto leader of the Republican opposition to President Barack Obama in Washington, broke with the hardline Tea Party faction of his party and called a vote on raising the statutory debt ceiling in the United States on Tuesday. (…)

Mr. Boehner’s tactical shift Tuesday follows a bipartisan budget agreement in December and an agreement last week on renewed farm policy that had languished in Congress for more than two years.

Sarcastic smile China’s Exports Power Higher China’s exports jumped unexpectedly in January, a potentially positive sign that could help reverse recent worries about the health of emerging markets.

The country’s exports rose 10.6% compared with January last year, up from a 4.3% year-over-year rise in December, official customs data show. This is well ahead of the median 0.1% growth forecast by 11 economists polled by The Wall Street Journal and suggests a gradual recovery of demand in western economies is helping to boost China’s trade. (…)

Economists had forecast that very strong Chinese exports in January 2013 would make this year’s growth look lackluster. The result is even more surprising given that the Lunar New Year holiday, when factories shut down and workers return home, fell in January this year.

Some analysts said the results could signal the return of businesses overstating the value of their shipments to get money past China’s strict capital controls and into the country for investment. The practice came to light last year, after a divergence between China’s exports and corresponding import figures from other territories raised eyebrows last year.

“On top of the 20% or so increase [in January] last year, we have another 10% rise? That’s hard for me to believe,” said Liu Li-Gang of ANZ Bank. (…)

Imports also strengthened more than expected, growing 10% in January compared with 8.3% in December. (…)

China land sales pull in record $672bn Latest evidence of rising property market

Chinese land sales hit a record $672bn in 2013 following a lull the previous year, providing more evidence that the country’s property market is once again in full throttle. But although construction activity is likely to bolster the economy in 2014, there are signs that land sales could slow, weakening local governments’ ability to raise money.

Land sales hit Rmb4.1tn, the Ministry of Land and Resources said, eclipsing the previous record of Rmb3.5tn in 2011. Land zoned for real estate use, which accounts for about one-quarter of zoned land sales, rose by nearly 27 per cent year-on-year.

Euro Zone Output Falls in December Euro zone industrial output fell in December, suggesting that while the economy likely expanded for a third straight quarter it did so at a muted pace.

imageIndustrial output across the then 17-country euro zone—Latvia increased the figure to 18 after joining the single currency area in January of this year—fell 0.7% in December from November, and grew just 0.5% compared with a year earlier.

The And, the strength previously reported in November took a hit in revisions. Eurostat now calculate that industrial output grew 1.6% on the month and 2.8% on the year after originally reporting a monthly gain of 1.8% and an annual rise of 3%.

As with the strength in November that was broad-based, so the decline in December was also spread across countries and sectors.

Eurostat data show industrial output in Germany fell 0.7% on the month, Italy posted a 0.9% monthly fall while French factory output was 0.3% weaker in December than in November. By sector, energy production slid 2.1% compared with November, as did output of capital goods.

In reality, the monthly stop and go simply continues with no real movement overall. IP has declined during four of the last 6 months and ended up unchanged over the period. Since July, German IP is up 0.6% (+1.2% a.r.), France is unchanged, Italy –0.8% (-1.6%) and Spain +0.2% (+0.4%).

The good news is that Markit’s January Manufacturing PMI for the Eurozone was 54.0 with strong numbers for new orders and new export orders.

This is puzzling considering that EU retail sales volume was down 1.6% in December and –1.8% (-5.5% a.r.) since September, the most important period of the year and that the U.S. economy seems to have entered a soft patch.

German Growth Forecast Raised

The German government Wednesday slightly raised its 2014 economic growth forecast for Europe’s largest economy to 1.8% from an earlier estimate of 1.7%, citing strong domestic demand.

Germany’s economics ministry said higher exports and investment are expected to stimulate growth this year and next. The ministry expects Germany’s gross domestic product—a measure of goods and services produced across the economy—to expand 2% in 2015.

Confused smile OECD admits eurozone forecasting errors Recovery outlook based largely on repeated false assumption

“The OECD did not underestimate fiscal multipliers,” he said. “It was the repeated assumption that the euro crisis would dissipate over time, and that sovereign bond yield differentials would narrow, they turned out to have been the most important source of error.”

Am I reading what I am reading? The forecasts simply assumed that things would eventually get better. Like driving a car blind and assuming it will take you where you want to go. Here’s what Pier Carlo Padoan, deputy secretary-general and chief economist of the OECD wrote in today’s BloombergBriefs:

A number of lessons that are now being put into practice at the OECD. Near-term monitoring of the economy needs to be improved, through indicator models, assessments of vulnerabilities and discussions with business contacts, so as to be better able to spot impending downturns. Better account also needs to be taken
of international linkages, spillovers and financial market developments. To recognize the uncertainty around all forecasts, and their underlying assumptions, greater
use should be made of quantitative scenario analyses around our baseline view.

In short, just do your job well.

Good Read: How Technology Can Drive The Next Wave Of Mass Customization

McKinsey & Co.: Seven technologies are making it easier to tailor products and services to the wants of individual customers—and still make a profit.

(…) Now individualized customization appears to be within reach. This next wave of mass customization— building a unique product for each customer (for example, custom suits and shirts made to fit your body shape)—has been on the horizon but has proved hard to achieve profitably at scale. (…)

We believe the time for widespread, profitable mass customization may finally have come, the result of emerging or improved technologies that can help address economic barriers to responding to consumers’ exact needs in a more precise way.(…)

We have identified seven technologies that enable mass customization, make it more practical today, and will drive further advances in the near future. We divided these technologies into two groups that correspond with the success factors identified earlier: those that make it easier to create customization value for the consumer and those that control costs for the producer, despite the challenges of manufacturing complexity.

Creating customization value

imageTo create a sustainable, scaled offering, the value of customization must go beyond the novelty effect and have a functional or aesthetic purpose—usually based on preferences dictated by biology (for example, body shape, DNA, and dietary requirements) or taste (for instance, in design or food). Mass customization has configured and individualized applications across industries, including apparel and health care (Exhibit 1).

Before launching customized products, executives must understand what customers want to individualize and what components they want to configure (such as the type of fabric, the shape of a collar, or the thread attaching buttons) and, consequently, which options should be offered and how they should be priced. What used to entail a costly conjoint analysis to define the solution space can now be done much more easily with the help of new technologies, many of which also make the transactions required for creating customization value smoother, swifter, and less expensive.

  • Social technologies

Social media and crowdsourcing are by no means new, but they pave the way for better customization options by allowing companies to analyze the value that consumers attach to existing or proposed components of current or hypothetical “virtual” products. Starbucks does this with frappuccino.com, an inherently social site where the company lets users build their own virtual Frappuccino, with ingredients such as raspberry flavoring and protein powder. This allows Starbucks to measure the popularity of different ingredients as well as popular combinations, such as caramel and whipped cream, before investing in any actual process or ingredient changes in its stores.

By allowing customers to create real and virtual products, companies can in effect use customers as marketers and cocreators. Social technologies empower customers to broadcast their creations to a large network, which is essentially free marketing for the company whose products they are promoting. This is uniquely suited to customized products, as many consumers are proud of their creations. One company that has tapped into this is Adagio Teas, which offers consumers the option to create their own mixtures of tea online; these are then made to order and shipped. If consumers want to, they can offer their tea creation to the public through the site, along with a name and image of their choice—for example, “Jasmine Dream,” with an image of the jasmine plant. Every time someone else purchases the creation, the maker receives points, which can be redeemed for Adagio products. Increasingly, many company sites only allow customers to save their custom creations after logging in with their Facebook credentials, which semiautomates the social-sharing process.

  • Online interactive product configurators

Online configurators are at the heart of the mass-customization trend because they provide a user-friendly and speedy way to gather a consumer’s customization preferences. While online configurators have been around for years, user interaction in the past was limited to selecting a few configuration options in a form. Any advanced configuration was cumbersome and expensive, often requiring a salesperson to discuss options and selections with the customer. Today, advances in product visualization and the increased speed and adaptiveness of configuration software have made product configuration engaging and what many consumers describe as a fun experience.

One example is Shoes of Prey, a website that lets its users configure custom shoes. Users choose from 12 general shoe types, from flat to ankle boot. After selecting a type, different designs for the toe, back, heel, and decorations are offered, with each click automatically updating a preview in the center of the screen. The most engaging part is when users click on the different elements of the shoe to select colors and fabric types. The shoe spins around after every selection, as if to celebrate the choice. A “trending now” page shows a seemingly endless list of shoes that are designed by site users, with several updates every minute, attesting to the fact that users of the site are having fun. Shoes of Prey found that the more sophisticated models of the customized product increased conversion rates online by 50 percent.

  • 3-D scanning and modeling

The shape of real-world objects can be analyzed by 3-D scanners, which collect data that can then be used to construct 3-D digital models. These scanners make it much easier to measure, for example, a human body for individualized products that are tailored to fit. Several companies have created scanning software that gathers exact body measurements in seconds or minutes, which can then be rendered into an online personalized 3-D model. Traditionally, these technologies have been expensive, hard to install, and difficult to roll out at scale. Companies like Styku that perform these scans are now using off-the-shelf technology (for example, Kinect cameras and a Windows 8 tablet) to achieve total hardware costs under $3,000.

The accuracy of the resulting measurements is often even better than those of hand measuring. Styku has sold a large number of the resulting 3-D measurement terminals to retailers all over the United States.

Another company, the start-up Constrvct, invites consumers to enter their measurements into a form on its website and then generates an online 3-D model showing what a certain dress would look like on their body shape. This reduces some uncertainty on the part of the consumer as to whether a garment would fit well with the customization options selected. Indeed, in the future, 3-D scanning and modeling might move directly into the home, giving consumers the ability to scan themselves, upload the 3-D model, and start ordering clothing “tailor-made” just for them.

  • Recommendation engines

E-commerce software has for years been able to recommend product choices based on previous selections. Recommendation engines are now moving into the customization space by helping customers configure products. Chocri, for example, operates a site called createmychocolate.com that customizes and ships chocolate bars, helping consumers configure their own bars from four base chocolates and 100 different toppings. The site tells consumers which spices go well with the base chocolate and main ingredient chosen in the previous step. For a milk-chocolate bar with strawberry bits, for instance, the site recommends cinnamon, roasted almonds, hazelnut brittle, and edible gold flakes. Recommendations are based on popular choices users of the site have made and are edited by the company for taste, thereby reducing the risk the customer takes when ordering a product she or he has never tasted. Chocri estimates that its recommendation engine has increased the rate of conversion from people configuring their own chocolate to an actual online order by more than 30 percent.

  • Smart algorithms for dynamic pricing

On-demand custom orders can often challenge companies with unpredictable spikes in demand, resulting in long wait times, which in turn are a potential deal breaker for consumers. Some companies are managing on-demand capacity by using smart algorithms and better data-processing capacity to enable dynamic pricing, thereby reducing the time consumers have to wait. A US pizza chain that lets customers configure their own pizzas (rather than offering a limited number of combinations) found that some ingredients take longer to place on the pizza base, such as sliced toppings that need to be placed one by one. In contrast, extra cheese, for instance, can be sprinkled over the pizza in one hand motion. When there is a large backlog of pizzas to be customized, prices on the website are adjusted dynamically: smart algorithms decrease prices for toppings that are quicker to put on the pizza and increase prices for others, discouraging consumers from choosing those that take longer. This reduces the wait time for those customers and increases customer satisfaction as a result.

Controlling manufacturing costs

Technology has driven and will continue to drive dramatic productivity and flexibility improvements in manufacturing. Modularization of product designs, advanced back-office software, and flexible production technology already have the power to reduce the costs of mass customization.

  • Enterprise and production software

Traditional technology for enterprise resource planning and supply-chain management (SCM) was designed to enable sales and manage production of a limited variety of products with clearly defined input components. Translating an individualized order from a single customer into a custom picking list and assembly instructions for warehouse and production workers was a big challenge. Now companies like Just in Time Business Consulting and Configure One have developed packaged software that enables tracking of individualized design features in customer orders and their translation into sourcing and production instructions. These tools connect the configurators at the front end with the production and SCM systems. This doesn’t only mean that the production staff knows what to assemble; it also means that customers are promised realistic lead times and progress updates and that they are not served up any options for which the components are not in stock. These back-office software changes can thus effectively enable smooth production of vast variety.

  • Flexible production systems

Flexible manufacturing systems are essential to making small-batch production for mass customization profitable. The automotive industry has been at the forefront of building this flexibility. Ford and General Motors have invested in dynamically programmable robotics with interchangeable tooling that can switch agilely between models and variants with no loss of efficiency. Companies from other industries are adapting these technologies. Caterpillar’s production system, for example, cuts out shoe parts according to customers’ measurements with an automated, computer-guided cutter.

Furthermore, the advent of 3-D printing is truly changing the way we think of manufacturing. These flexible devices can print objects with materials such as ceramics, metals, and even chocolate. While primarily used in prototyping, 3-D printers are making inroads into the mass production of customized objects, such as jewelry, home decoration, and clothing. On Shapeways’s site, for example, users can enter a poem or custom text, which is then automatically transformed into a visual of a vase composed of the words. Shapeways then makes a 3-D print of the vase and ships it within a few days.

The advances of this technology mean that the primary constraint in adoption will be the creativity of entrepreneurs and leaders in how it is applied. As mind-sets about what is possible change, we expect many more innovative concepts and processes to blossom that accelerate the cost-effective production of customized goods.

imageAnd there’s more to come.

On the horizon, manufacturing, supply-chain, and logistics functions will benefit from the broad penetration of digital sensors and smart tags that will offer greater potential for visibility, flexibility, and control of product flows, as well as for automation of tasks that enhance product value. This is the broad trend toward what is known as the Internet of Things, which blends sensors, standards-based networks, and smart analytics to enable new information architectures for optimizing production.

Imagine, for example, products that adapt to their users’ habits and usage, or the use of predictive analytics to ensure parts or modules are automatically replenished when they are approaching end of life or failure. The falling cost and growing capabilities of connected sensor-driven systems can make these techniques, applied to expensive equipment such as large turbines today, applicable for consumer goods. Indeed, modular design, coupled with new manufacturing and logistics chains, will allow businesses to break the traditional compromise made between variety and production cost.

Mass customization has been driven primarily by sales and marketing teams that understand the demand for customized products but can’t enable profitable customization on their own. Few large companies have brought the different approaches to customization together across business units and supported them with appropriate technology from the start. True scale in mass customization can only be achieved with an integrated approach where technologies complement one another across a company’s various functions to add customization value for the consumer, bring down transaction costs and lead times, and control the cost of customized production (Exhibit 2). (…)

(Complete article)