IoT, Technology and Digitization

Technology is changing the Value Paradigm. It’s time to change management thinking

Some years ago, Nokia, then still the global leader in mobile phones, was busy undertaking project after project to improve its business, upgrade its product offering and strengthen its value proposition, particularly with its key customer segments. But its brand preference had been slipping fast in all its key markets. It took a new CEO, Stephen Elop, to issue in 2011 a now famous, but belated warning -“Nokia our platform is burning”- about how the Apple and Android ecosystems were taking over Nokia’s market by changing the smartphone value paradigm, converting a product into a platform. The rest is history.

As technology ever more rapidly disrupts industry after industry, many companies find themselves on a similar trajectory as Nokia. And many, like Nokia, either do not recognize the problem or, if they do, often choose not to confront it.

In a November 2014 survey by Accenture (CEO-Briefing: Competing in a Digital World. Accenture 2014), a management consultancy, C-suite executives were asked about their views on digitization. A slight majority (52%) expected that it will change or completely transform their industry. Even so, they cited operational efficiency (69%) and customer experience (61%) as the areas of highest importance for digital investments, with most (59%) focusing more on process efficiencies and cost cutting than revenue generation. Such thinking, which has been confirmed in other studies since, is surely paradoxical. If you assume your industry will be completely transformed how does it make sense to invest in incremental efficiencies or peripheral improvements rather than in understanding and mastering the upcoming transformation? Consider: In the survey, some participants gave examples of their own digitization efforts and an executive from a major car rental company described how it had recently launched digital signage at airport locations, providing customers with the latest flight, check-in, and other information, with the aim of improving the customer experience and, hopefully, strengthening customer loyalty and value. But while the company was busy on the periphery of its offering, customers were busy rejecting its core value proposition. Namely at the exact same time, a Certify.com sharing economy report was showing that “ride-hailing” companies (Uber, Lyft) were making extraordinary gains on both taxis and car rental in terms of market share with quarter on quarter growth rates topping 25%. Car rental had lost an extraordinary 11 percentage points market share within 7 quarters. Furthermore, both Uber and Lyft scored significantly higher in terms of customer satisfaction relative to both their competitor classes.

Now it may be the turn of the auto industry as a whole: In a recent article in Automotive News, Bob Lutz, a former GM Vice Chairman and legendary product developer, described how within 20 years the same fleet and mobility service providers (now upgraded from simple ride-hailing Apps) will relegate automotive manufacturers to a role of commodity device producers and capture the lion’s share of profits generated in a new mobility industry. According to Lutz, value in automotive is now moving downstream driven by autonomous vehicle technology. The complete value paradigm for cars and mobility will change as the industry moves from a mainly B2C/ownership to a mainly B2B/utilization model[1]:The transportation companies will be able to order modules of various sizes and types… But the performance will be the same for all because nobody will be passing anybody else on the highway. That is the death knell for companies such as BMW, Mercedes-Benz, and Audi. That kind of performance is not going to count anymore.”  And in almost uncanny timing, Uber announced just a few days later that it is buying 24,000 Volvo cars to kickstart its self-driving fleet. Lutz was by far not the first to predict this paradigm shift, which will have far reaching repercussions for the wider economy and society as a whole. But he was the first industry insider to issue such a stark warning and few auto companies have taken the necessary strategic steps to deal with the disruption and even fewer have addressed the shift in the value paradigm[2] specifically, usually preferring to challenge the narrative (i.e. it probably won’t happen this way) instead.

What can be inferred from these cases? First, incremental, business-as-usual, thinking is not helpful in times of great disruption and burning platforms. It distracts management attention from the real problem, provides a false sense of comfort (“we are doing something”) and misallocates resources. Most managements (like most people) are far more comfortable looking for ways to improve the periphery rather than challenge the core (what a company, in its own mind, actually stands for), a kind of “head-in-the-sand” attitude.

Second, as we move towards an economy dominated by platforms, the sources of value are changing. It is now less about achieving outcomes through control of resources and sequential value chains. Rather it is about orchestrating resources and facilitating interactions and transactions in networks or, better, “ecosystems”, to maximize their value. It is less about the individual customer and more about the totality of customers (and suppliers), the presence of each making the value of the platform greater to all and attracting others. These so called “network effects” cause platform businesses to scale to great sizes at speed. In the process, individual products or services lose in relative importance and run the risk of becoming commoditized.

Following the B2C proliferation of platforms in the past decade or so, we see this now also in B2B environments. But we are also beginning to see how platform markets can be reinforced by the IIoT –Industrial Internet of Things, which, as it turns out, is not just about efficiencies.

Sharing economy platforms are knocking hard on the door of industry by decoupling asset ownership from asset usage. In the process they are driving industrial servitization and product commoditization. For example, a Boston firm, Cohealo, has launched a platform to time slice, share and optimize the usage of expensive hospital equipment such as MRI machines among healthcare facilities to increase utilization while reducing costs and waiting times. Smaller facilities which cannot justify an own investment can participate. The necessary logistics are provided as part of the service.  Similar platforms already exist for earthmoving equipment, tractors and garbage trucks. Almost any asset can now be sliced, “platformized” and servitized, including manufacturing or service capacities, essentially the value chain itself: Dassault Systèmes has developed a platform that connects users of its CAD software and others with manufacturers which can accept designs, quote a price, manufacture and ship a product prototype. The platform, MySolidWorks, now has an ecosystem of over 100 CNC milling, injection molding, 3D printing and sheet metal manufacturing companies. A “Production-as-a-Service” project at the University of Michigan, similarly aims to match thousands of small to mid-sized manufacturers that have underutilized equipment, with customers who need small production volumes. The system proposes optimal and near optimal solutions according to given constraints for the production such as cost, time and quality. There are many other examples.

Just as intriguing is the potential reinforcement effect through the Industrial Internet of Things. The IIoT has been mainly understood as an efficiency and productivity engine for manufacturing or services. However, it can also be thought of as a market space for transactions, whether for over the web services (Apps) or products to support them. Essentially it functions to shift value from products to the data, knowledge, and services it is a conduit for. At the recent Copperberg AfterMarket Business Platform conference in Hamburg, a presentation by Caterpillar included the statement: “When Customers buy Caterpillar Products to get access to Caterpillar Services”. This hints at what can be expected, but doesn’t go far enough. While companies will use IIoT-based services initially to support and then to drive product sales, ultimately few, if any, will be able to resist the service revenue streams even if customers are not buying their products. And if they do, they will have difficulty competing with product agnostic platform and service providers in collecting the necessary volumes of data needed to deliver strong outcomes. Value moves from the product to the platform and the service because the data and knowledge about and the ability to precisely control product operations becomes more important than the absolute or relative performance of different (competing) products. In other words, it may be more valuable to know when a product needs maintenance than to have a product which is slightly more robust or “better” than another one. Products can then be made to required cost-performance specifications determined by data and will tend to be quite similar. This describes a process of commoditization.

Some manufacturers, even smaller ones, are already trying to ride the bandwagon. For example, Netzsch, a medium sized German engineering company and manufacturer of grinding and dispersing systems, developed a Web-based software that enables the remote monitoring and maintenance of all grinding and dispersing machines at a customer’s site (i.e. not just its own). As the company reports in a joint VDMA/McKinsey survey from 2016: “The system is independent of the installed machine or configuration and can easily adapted. It is built in as standard…, but also offered as an optional add-on to all our customers. NETZSCH-Connect enables our customers to monitor the process data of their machines during operation and check the current production conditions… On request of our customers, we provide remote services and other process support. More and more of our customers have become NETZSCH-Connect users since we launched the system in 2013. The software has also had a positive impact on our hardware sales, as the ability to monitor machines is more and more important in order to optimize the processes.” – Customers buying Netzsch machines to get access to its services, Caterpillar’s objective coming true.

Netzsch and Caterpillar are of course not alone. Many other manufacturers have come up with similar systems and are experiencing similar customer reactions. But digitally native service and software providers are also forcefully entering this market. Services such as predictive maintenance based on machine learning and data analytics are now offered over the Web (Uptime-as-a-Service), either stand-alone or as part of broader IIoT implementations helping customers drastically reduce the cost of condition monitoring (by eliminating the people who carry it out), expand usage and reduce equipment downtimes. Of course, IIoT platforms would eventually cover all the processes and all the equipment. And it is not difficult to imagine IIoT platform vendors expanding vertically, offering customers integrated product/service packages, or horizontally, offering enhanced market place functionalities and Apps selling products on the platforms, as is already happening in the home IoT markets led by Amazon or Google Nest.

In the past 20+ years, “value” has become so central in management thinking and practice, it is now almost cliché.  A whole advisory industry has evolved to help managers understand in painful detail how their products add value relative to competitors. Value based pricing (VBP), a method to decouple price from cost and charge customers based on the benefits (however these may be defined, from intangibles to profits) they receive, is an approach pursued by many, if with varying degrees of success. However, it should be now obvious that such value based approaches work only within static competitive, market and technological frameworks, where all players are adhering to essentially the same value paradigm. But in a world of platforms the validity of such approaches needs to be reexamined. After all, airlines and hotel chains were pioneers in applying revenue management and a form of value based pricing. But that did not stop low budget airlines or platforms like Airbnb from disrupting their respective industries and then scaling their businesses by shifting customers to a different value paradigm: inexpensive, no frills, but adequate experiences -and taking huge market share in the process.

The subtle emphasis in value based approaches is “to provide more for more” and thereby justify premium pricing for better expected outcomes. But the calculations are based on what is known at the time they are made and assume that the future will be like the past. Increasingly that may not be the case. In fact, technology is advancing in a way that causes dematerialization, – costs to disappear and consequently many prices to fall. How do you persuade a customer to buy an expensive product or service today, if she expects the cost  to be lower tomorrow?

As the theory’s originator, Clayton Christensen, points out, disruption is about companies, often with fewer resources, capabilities or knowhow, finding ways to be “good enough” at a lower cost for a sufficient number of customers:

Disruption describes a process whereby a smaller company with fewer resources is able to successfully challenge established incumbent businesses. Specifically, as incumbents focus on improving their products and services for their most demanding (and usually most profitable) customers, they exceed the needs of some segments and ignore the needs of others. Entrants that prove disruptive begin by successfully targeting those overlooked segments, gaining a foothold by delivering more-suitable functionality—frequently at a lower price. Incumbents, chasing higher profitability in more-demanding segments, tend not to respond vigorously. Entrants then move upmarket, delivering the performance that incumbents’ mainstream customers require, while preserving the advantages that drove their early success. When mainstream customers start adopting the entrants’ offerings in volume, disruption has occurred.

The technology advancements we are witnessing now are explosively increasing the disruption potential: First, by drastically reducing the amount of resources (costs) required to achieve desired outcomes (dematerialization) and second, by allowing customers to buy just what they need -not more or less, conveniently and cost effectively, decoupling the asset from the usage and the outcome: Not the car, just transportation from A to B; Not the drill, just the hole in the wall. This effective process of servitization further enables the shedding of deadweight costs (through underutilization) while feeding back into resource reduction in a positive on-going loop. Prices drop rapidly across the board, value paradigms shift. It is time for managements to come to grips with the new reality and find ways to address it.     

 

[1] Of course, some customers might wish to own (and enjoy) their own self-driving cars. However, the economics speak against this as a general rule. If cars are self-driving, cost of transportation drops substantially, as the driver is the main cost element. In addition, self-driving cars can have very high utilization rates reducing unit costs even further. If they are ubiquitous (and there is no reason to think they will not be, according to Lutz they will be made mandatory as they will be far safer), the economic argument for owning a self-driving car becomes weaker still. It can therefore be expected that most of the demand will be from fleet operators and mobility service providers.

[2] Traditionally cars have been sold and priced based on image and performance. Lutz’s argument is that in the future purchasing decisions will be far more utilitarian, more like for buses or passenger aircraft today.

 

Titos Anastassacos is Managing Partner at Si2 Partners, a consultancy helping clients leverage services to win in industrial markets. His consulting focus is on business modeling and strategy, business development, outcome based services and service performance management. He also specializes in technology for service oriented businesses, with particular emphasis on integrated digitization and servitization initiatives, Industrial Internet of Things platforms and sharing economy applications. 

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