article notes
R E P R I N T N U M B E R 5 6 1 1 5
F A L L 2 0 1 4 V O L . 5 6 N O . 1
How to Win in an Omnichannel World By David R. Bell, Santiago Gallino and Antonio Moreno
Please note that gray areas refl ect artwork that has been intentionally removed. The substantive content of the article appears as originally published.
PLEASE NOTE THAT GRAY AREAS REFLECT ARTWORK THAT HAS BEEN INTENTIONALLY REMOVED. THE SUBSTANTIVE CONTENT OF THE ARTICLE APPEARS AS ORIGINALLY PUBLISHED.
PAULA CUNEO, A TEACHER IN Ashland, Massachusetts, ordered 10 pairs of corduroy pants in a range of sizes and colors from Gap Inc.’s website, and later returned seven of them, ac-
cording to a 2013 Wall Street Journal article.1 Ms. Cuneo is, perhaps unwittingly, an exemplar of a
key challenge in today’s omnichannel retail environment — an environment where customers shop
through a variety of online and offline channels. The challenge omnichannel retailers face is this:
How can retailers provide consumers with information (about what products best suit them) with-
out incurring downside on product fulfillment (delivery of products)?
The omnichannel environment presents new challenges and opportunities for both information
and product fulfillment. This is equally true for “traditional” retailers like the Gap, which began busi-
ness with physical stores, and “new” retailers like New York-based eyeglasses brand Warby Parker,
which started out by selling online. While all
retailers need to effectively and efficiently
manage fulfillment and information provi-
sion, there are important nuances to how this
happens — depending on where and how
the retailer got started and what kinds of im-
provement create the most leverage.
This article delivers a customer-focused
framework showing how to win in the omni-
channel env ironment throug h critical
innovations in information delivery and
product fulfillment. The framework emerged
from our research with both traditional and
nontraditional retailers. To thrive in the new
environment, retailers of all stripes and
origins need to deploy information and ful-
fillment strategies that reduce friction in
every phase of the buying process. This
means simultaneously providing, in a cost-
effective and nar rative-enhanc ing way,
FALL 2014 MIT SLOAN MANAGEMENT REVIEW 45
How to Win in an Omnichannel World Retail customers are now “omnichannel” in their outlook and behavior — they use both online and offline retail channels readily. To thrive in this new environment, retailers of all types should reexamine their strategies for delivering information and products to customers. BY DAVID R. BELL, SANTIAGO GALLINO AND ANTONIO MORENO
THE LEADING QUESTION How can retailers effectively adapt to an omnichannel environment?
FINDINGS �Consumers’ omni- channel behavior is spurring innova- tions in the ways retailers provide information and products.
�Both traditional and online retailers should consider hybrid online-offline approaches.
�Hybrid approaches include inventory- only showrooms and “buy online, pick up in store” options.
R E T A I L I N G
46 MIT SLOAN MANAGEMENT REVIEW FALL 2014 SLOANREVIEW.MIT.EDU
R E T A I L I N G
information that removes initial uncertainties and
barriers to purchase — as well as fulfillment options
that allow retailers to get their products to customers
in the most convenient and cost-effective way.
Our research relies on detailed customer-behav-
ior data (such as visits, purchases and returns) from
omnichannel retailers. We then used these data to
perform statistical tests of the impact of manage-
ment interventions (such as website enhancements
and showroom openings) on overall demand and
fulfillment efficiency. (See “About the Research.”)
We explain why the best way to navigate the om-
nichannel environment is to: (1) take a customer
perspective and (2) view the activities of the com-
pany through the lens of the two core functions of
information and fulfillment. Last, and most impor-
tant, we elaborate on each of the core elements of
our information and fulfillment matrix in detail
and highlight the key implications for omnichan-
nel retail practice.
A Customer-Focused Framework We adopted a customer-focused perspective on
omnichannel strategy, as our research and experi-
ence tells us this that is best way to ensure the
formation of cohesive and effective initiatives. The
framework asks two simple yet fundamental ques-
tions: (1) How will customers get the information
they need to facilitate their purchase decisions? and
(2) How will transactions be fulfilled? (See “The
Information and Fulfillment Matrix.”)
When it comes to fulfillment, customers either
visit the store to pick up items or the “store comes to
them” when products are delivered. This is true with
information, too, as customers either visit stores to
obtain (offline) information or seek information
remotely, either online or perhaps through catalogs.
Prior to the advent of the Internet, there were re-
ally only two generic types of retailers. The first type
was traditional retailers, indicated by the upper-left
quadrant in our matrix (quadrant 1), wherein all
product information is delivered offline through
physical stores, and customers visit stores to take ful-
fillment. Many retailers still operate exclusively in
this quadrant, as exemplified by Ross Stores or
HomeGoods. The second type was catalog retailers,
which can be considered an early precursor to to-
day’s pure-play online retailers (quadrant 4), in
which information is delivered directly to customers
via the Internet (instead of a catalog) and product
fulfillment takes place via delivery.
The development of the commercial Internet
spurred growth in the number of pure-play Internet
retail companies (quadrant 4), with online transmis-
sion of information and fulfillment via delivery, as
exemplified by Amazon.com or Overstock.com. The
great promise of the “omnichannel revolution,”
however, lies not simply in the new retail businesses
ABOUT THE RESEARCH We conducted our academic research on omnichannel issues by using large customer databases from Crate & Barrel, Bonobos.com and WarbyParker.com and supplementing them with other data from external public sources as necessary (discussed below). We worked closely with executives to elaborate research issues that were not only of theoretical or aca- demic interest but also of practical economic importance to retailers.
To facilitate our research, management pro- vided us with the following kinds of data fields: unique customer ID (disguised for confidential- ity), transaction date, transaction items, transaction value and customer (shipping) ZIP code. We were also privy to information on other important kinds of customer activity, including website visits and data on product sampling and product returns. Management made available detailed information on the
timing and nature of specific interventions (for example, website improvements) so that we could assess the impact, if any, they had on sales, returns and other customer behaviors.
Furthermore, since it is well known that sales through online channels vary dramatically by geographic location in accordance with the types of customers living there and their local shopping options,i we appended a rich set of geodemographic data to the sales data provided by the companies. One nice feature of this data is that it is freely or cheaply available from gov- ernment and commercial sources, such as the U.S. Census and the geographic information system provider Esri.
We characterized each U.S. location (ZIP code) according to several local features, including the age, income, education and ethnicity of local residents; total population; and population density. We were also able to describe several aspects of the local offline
retailing environment, including the number of offline stores likely to compete with the web- sites of the companies we were studying, offline expenditures on the product category, travel distance to offline retailers, and so on.
After assembling the customer and manage- ment intervention data, we estimated econometric models to assess the impact of key management interventions: specifically, whether they worked (for example, whether a “buy online, pick up in store” program increased sales at the website) and, if so, whether there were any unintended consequences, either pos- itive or negative. In many instances, we were analyzing so-called “natural experiments,” in the sense that the management interventions took place in the field and a number of real cus- tomers with real buying experiences were exposed to them, while other customers were unaffected by these changes and could be used as a control group.
SLOANREVIEW.MIT.EDU FALL 2014 MIT SLOAN MANAGEMENT REVIEW 47
made possible by Internet connectivity, but also
more subtly and profoundly in the emergence of the
retail strategies located in quadrants 2 and 3.
One observation immediately apparent from our
information and fulfillment matrix is that a retailer
has the potential to operate in any of the four quad-
rants. However, to develop intuition for what kinds
of combinations of information delivery and fulfill-
ment will succeed for what kinds of businesses and
why, it helps to first focus on the exemplar cases for
quadrants 1 and 4 and think about the products and
experiences for which they excel.
All “traditional” retailers began life in quadrant 1,
delivering information to customers via in-store ex-
periences and fulfilling demand there as well. This
includes retailers that stock others’ brands, as well as
vertical retailers that sell their own brands (typically
manufacturers such as Apple, Nike or Patagonia). To
win in an omnichannel world, however, a traditional
player needs to expand through quadrants 2, 3 and 4.
Similarly, we argue that a pure-play online retailer
needs to pursue quadrant 2 and 3 strategies, and
consider partnerships with traditional (quadrant 1)
retailers as well.2
Navigating the Framework The predominance of quadrant 1 retailing is an em-
pirical fact of developed and emerging markets alike.
In 2013, e-commerce (excluding travel) as a percent-
age of the total retail market was a mere 10% in the
United Kingdom, 8% in the United States and 6%
and 1% in China and India, respectively.3
Nevertheless, it is natural and most likely impera-
tive for most traditional retailers to participate in
quadrant 4 and build an e-commerce operation.
Quadrant 4 retailing is growing at a rapid pace, both
within the United States and abroad.4 We predict
that the “synchronized” experiences of quadrant 1
and quadrant 4 activities — where information and
fulfillment activities are accomplished in the same
channel — will continue to anchor retail and that
new players will start businesses in either quadrant,
but that new players’ operations will be greatly
enhanced by strategies and activities that fall in
quadrants 2 and 3. This is due to the opportunities
that arise from decoupling the information and ful-
fillment dimensions of quadrants 1 and 4. Let’s start
by looking at the information dimension.
Information: Remote vs. Direct Access When retailers operate in online quadrants (2 and
4), this dictates that they give customers informa-
tion about the products through some remote
means, such as a catalog or a website. This form of
information delivery is most suited to products
containing few, if any, “nondigital” attributes.5 A
nondigital attribute — for example, the fit and feel
of apparel and related categories or the taste and
texture of products — is difficult to fully observe
and assess without a physical inspection. Uncer-
tainty about nondigital attributes is a key barrier to
consumers’ willingness to buy online and is an
especially important deterrent for first-time online
purchases.6 Once a consumer has experience with
a brand or product, he or she may be willing to rely
on purely online information for subsequent on-
line purchases.
Conversely, when companies operate in the
upper “offline” quadrants (1 and 3), they give cus-
tomers direct access to product information via
physical access to products. This method of infor-
mation delivery is especially well-suited to retailing
products that have significant “high-touch” ele-
ments, important service requirements or significant
nondigital attributes. In fact, it is this very same
point of strength of quadrant 1 retailing that makes
retailers who only operate there especially vulnera-
ble to consumers “showrooming” — examining
merchandise onsite but purchasing at a lower price
THE INFORMATION AND FULFILLMENT MATRIX In an omnichannel retail environment, customers can either visit stores to obtain information, or they can seek information remotely. They can also either visit a store to pick up items, or the store can “come to them” when products are delivered.
Information Delivered
Fulfillment
Pure-Play E-Commerce • Amazon.com • Overstock.com
Traditional Retail • HomeGoods • Ross
Online Retail Plus Showrooms • Warby Parker • Bonobos
Shopping and Delivery Hybrid • Crate & Barrel • Toys “R” Us
Online
Pickup
Offline
Delivery
1
2
3
4
48 MIT SLOAN MANAGEMENT REVIEW FALL 2014 SLOANREVIEW.MIT.EDU
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online.7 Mitigation or elimination of showrooming
is a vital management objective for traditional retail-
ers.8 It is highly detrimental to the showroomed
retailer if the consumer, after appropriating the in-
formation from that retailer, buys online from a
competitor.
Thus, if quadrant 4 is well suited to selling prod-
ucts for which customers either have a fair degree
of certainty about what to expect or can expect only
limited value from a live customer-service experi-
ence, and quadrant 1 is well suited to high-touch
products yet highly vulnerable to showrooming,
this raises intriguing possibilities for hybrid experi-
ences (quadrants 2 and 3). They can both enhance
the customer experience and improve performance
outcomes for retailers.
Fulfillment: Delivery vs. Pickup With regard to fulfillment, there are important dif-
ferences in the customer experience and business
impacts on the retailer between the quadrants on
the left (1 and 2) and the quadrants on the right (3
and 4). From a consumer’s point of view, obtaining
a product after a visit to a physical location (store)
has both advantages and disadvantages. The cus-
tomer does not have to pay for shipping or wait for
delivery of the product; however, the consumer
incurs travel costs. Similarly, delivery has both
advantages and disadvantages for consumers. Dis-
advantages include waiting time (and delayed
gratification) and perhaps shipping costs as well.
Advantages include mitigation of travel costs and
the ability to access products that would not neces-
sarily be displayed in a physical store.9
From the retailer’s point of view, fulfilling
orders in stores (quadrants 1 and 2) or via delivery
(quadrants 3 and 4) pose very different challenges.
When orders are fulfilled in stores, there are impor-
tant location and store-design decisions to be
made. Stores have to be accessible to customers and
large enough to hold inventory. These constraints
can translate into significant real estate costs.
Furthermore, in order to fulfill transactions in
stores, the retailer must carry the right products in
the right stores at the right time. In order to do that,
the company has to decide which products to carry
in each brick-and-mortar retail location and also
accurately forecast demand for each product and
store — something that is notably harder to do on
a per-store basis than at a higher level of aggrega-
tion.10 Higher demand uncertainty at the store level
results in higher supply-mismatch costs, which are
then manifested through excess inventory or lost
sales due to products being out of stock.
Conversely, fulfilling orders via delivery (quad-
rants 3 and 4) relaxes some of the design constraints
for the retailer’s physical locations. First, fulfillment
can be centralized from a distribution center located
in a less expensive area, although some orders can be
shipped from a conventional store. Second, central-
ized fulfillment makes forecasting demand easier
because it allows forecasts to be made at a more ag-
gregate level, reducing supply-demand mismatch
costs.11 This efficiency is especially important when
variety is high (with a large number of SKUs) and
the demand for each individual product is low.12
Information Online, Fulfillment Offline Crate & Barrel, based in Northbrook, Illinois, is a
traditional retailer of furniture and housewares
with strength and heritage in quadrant 1 and an
active presence in quadrant 4 — which makes it a
retailer that offers predominantly “synchronized”
experiences. Could it enhance its overall perfor-
mance though quadrant 2 strategies, which rest on
hybrid experiences? To test the potential of one form
of hybrid strategy, management implemented a
“buy online, pick up in store” (BOPS) option at
Crate & Barrel stores throughout the United States.
Other retailers such as Toys “R” Us and The Home
Depot have launched similar initiatives during
recent years.13
Crate & Barrel has numerous stores located in
the United States and Canada, and the BOPS op-
tion was offered to shoppers in the United States
only. To isolate the impact of BOPS, we looked for
differences in shopper behavior (for example, sales
levels for a particular product category or overall
store traffic) between the two countries.14 Since we
controlled for other differences between the United
States and Canadian stores, we could attribute any
remaining differences in sales and store traffic to
the availability of the BOPS option.
There are two reasons why BOPS, in theory,
offers shoppers a compelling value proposition.
SLOANREVIEW.MIT.EDU FALL 2014 MIT SLOAN MANAGEMENT REVIEW 49
First, they can very easily get accurate information
about prices and availability of items that they are
interested in buying before placing their order.
Second, since they can pick the item up, they get
gratification from immediate access to the pur-
chased product. Thus, BOPS eliminates a critical
search friction for shoppers — wondering whether
a particular item is available in a store and what it
costs. BOPS also counters a key deficiency of the
online shopping experience — waiting for pur-
chased items to be delivered. In a very real sense,
BOPS gives shoppers the best of both worlds —
full information delivered before purchase (no
search friction) and immediate fulfillment (no
waiting for delivery).
Management’s expectation was that post-BOPS,
online sales in the United States would increase.
Surprisingly, that didn’t happen. In fact, online
sales went down, even though traffic to the website
went up. To understand why, note that most of the
items sold at Crate & Barrel have nondigital,
“touch-and-feel” attributes that are hard to com-
municate online. Hence, even thoug h B OPS
allowed shoppers to fully resolve uncertainty about
price and availability prior to shopping, it did not
allow them to resolve uncertainty about products’
nondigital attributes.
Nevertheless, overall sales at the stores went up.
Shoppers, having confirmed that the products they
wanted were in stock and appropriately priced,
went to the store to inspect and buy. BOPS removed
search friction for information that can be effi-
ciently communicated online (price and in-stock
position) and eliminated post-purchase waiting
time. The online purchase option could not, how-
ever, help customers eliminate uncertainty about
nondigital attributes.
A variant of the BOPS shopping process is ROPO
(“research online, purchase offline”), or “reverse
showrooming.” For instance, traditional retailers
that commit to providing accurate price and inven-
tory information online, and that otherwise engage
customers effectively online as well, can see increased
traffic and sales in their physical stores. Furthermore,
in our experience, both BOPS and ROPO customers
can, after visiting the store in person, generate incre-
mental sales in product categories other than the
one(s) that drove the initial visit.
Information Offline, Fulfillment Online If it makes sense for Crate & Barrel to “move down”
from quadrant 1 into quadrant 2 and start provid-
ing a richer online-information experience, it may
also make sense for Warby Parker (and other ini-
tially pure-play Internet retailers) to expand from
quadrant 4 into quadrant 3. As we noted earlier, for
products that require service and/or have high
number of touch-and-feel components, offline
delivery of product information is likely to be val-
ued by customers. There might be other benefits as
well, including an increase in brand awareness and
positive reinforcement of the brand’s legitimacy.
Management at Warby Parker, well aware that
many customers like to touch and feel eyewear prior
to buying it, had, from the inception of their busi-
ness, offered a sampling program called “Home
Try-On,” which allows customers to order five
frames free of charge and keep them for five days,
with free shipping both ways.15 The site also offers a
virtual try-on system in which customers can upload
pictures of their faces and overlay different frames
onto their photos. Still, management realized that
these two channels might be insufficient for at least
some segment of customers; hence, they opened a
third channel — the inventory-only showroom.
(Warby Parker also participates in quadrant 1 for
part of its product line, offering in-store fulfillment
of sunglasses in their own-store retail locations in
New York City, Boston and Los Angeles.)
Inventor y-only showrooms are third-party
locations (typically stores that sell apparel and ac-
cessories) that display the full line of Warby Parker
frames. Customers can visit these stores, such as the
partner showroom in Old City in Philadelphia, try
the frames on and then have the product fulfilled
via delivery just as if they had ordered online. The
inventory-only showroom is an example of quad-
rant 3, as information is delivered offline, but
product sales are fulfilled via delivery.
We wanted to understand the impact of these
inventory-only showrooms on demand, brand
awareness and product returns. To assess any poten-
tial marketing and operational efficiency benefits of
this hybrid experience, we defined a “trading area”
for the showroom (typically a 30-mile radius
around the showroom) and analyzed the “natural
Furniture and housewares retailer Crate & Barrel was able to drive economically significant offline increases in traffic and sales by providing accurate price and inventory information online.
50 MIT SLOAN MANAGEMENT REVIEW FALL 2014 SLOANREVIEW.MIT.EDU
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experiment” created when showrooms were opened.
A naive approach to assess the impact would be
to simply compare sales and returns in the trading-
area region before and after the introduction of the
showroom. This approach, however, would not
account for other factors at the location that could
also be driving sales and returns. Hence, we utilized
an econometric method called differences-in-
differences with propensity matching, in which we
compared the difference in sales between a “treat-
ment city” (a city with a showroom) and a “control
city” (a city without a showroom), after adjusting
for the fact that the locations with showrooms were
deliberately chosen by the Warby Parker manage-
ment team, rather than simply selected at random.
Using the adjusted data, we then compared the dif-
ference between treatment- and control-location
sales prior to the introduction of a showroom to
the difference between treatment- and control-
location sales after the showroom was opened.16
Our regression analyses highlighted several bene-
fits of Warby Parker’s showrooms. First, and perhaps
not too surprising, total sales increased about 9% in
the locations within the trading area of the show-
rooms. (Remember, this increase is relative to other
locations that are “matched” in other ways but that
do not have a showroom.) The company was able to
expand its sales by providing information offline.
Next, we found that website sales that had their origin
in the showroom trading area (as measured by the
ZIP code) increased significantly, too, by about 3.5%.
An offline showroom thus appears to confer aware-
ness and brand-legitimacy benefits such that new
customers show up in the online channel.
For the sampling channel, or Home Try-On pro-
gram, we analyzed not only sales but also the number
of customers who tried the program. After the show-
room opened, sales through this channel decreased
by 5.5% and the total number of customers trying
the sampling program declined by 8%. So, while this
channel now generated fewer sales, it became more
efficient as the conversion from ordering try-ons to
actual purchases increased significantly.
Hence, an online-first retailer that starts providing
product information offline can see improvements in
both realized demand and operational efficiency. A
key efficiency for Warby Parker was higher conversion
in the sampling program, but there were other
efficiencies as well. In locations within the trading area
of a showroom, online returns declined, as did the
probability of individual customers placing multiple
Home Try-On orders. Thus, for an online retailer,
adding showrooms is more than a mechanism for ex-
panding awareness and total demand. It also allows
customers to “sort” into their preferred channel on the
basis of their need for prepurchase information.17
The same positive effects can be tracked in tempo-
rary or “pop-up” stores. As we saw positive demand
impacts for fixed showrooms, we expected to see sim-
ilar benefits from increasingly popular pop-up or
movable stores as well.18 Warby Parker, for example,
has a retrofitted school bus that traveled throughout
the United States for several months, making stops in
numerous cities and towns.19 In analyzing its effect,
we found that in locations where the bus stopped,
sales increased, both in total and through the website,
implying that pop-up stores boost both sales and
awareness. Short-term pop-up retail is evolving rap-
idly as new platforms emerge to facilitate it. An
intriguing example is thestorefront.com, a website
that “connects artists, designers, and retailers with
beautiful, local retail space.”20
The Importance of Information for Customers Product information gets delivered to potential
customers not just by a retailer but also by other
customers of that retailer. Managers need to recog-
nize the impor tance of variation in physical
geography and types of offline environments. Prior
research has shown that online sales of commodity
products vary significantly with variations in real-
world factors, such as population density and
access to stores.21 But we found an equally impor-
tant impact on products with nondigital attributes.
This was reinforced through work we did with
Bonobos.com, a men’s fashion brand with e-com-
merce as its core distribution channel.
Bonobos, like Warby Parker, began life in quadrant
4 as a pure-play online retailer and later developed so-
called offline “guideshops.” These relatively small
(typically about 1,200 square feet), high-service loca-
tions provide sufficient inventory for the customer to
try on, but not to buy at the store and take home im-
mediately. That is, they utilize online fulfillment in the
same way that Warby Parker showrooms do.22 This
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quadrant 3 strategy has been highly effective for
Bonobos, and aggressive expansion is planned.23
Moreover, several Bonobos items are available in
Nordstrom department stores throughout the United
States, and this traditional, quadrant 1 retailing has
been important for Bonobos’ growth.
Nevertheless, we speculated that offline delivery
of information by customers might be a critical fac-
tor as well. We specifically focused on offline
variation in what sociologists call “social capital” —
the extent to which colocated individuals share
information with, interact with and trust each
other.24 We examined online sales data from the in-
ception of the Bonobos site in October 2007 and
matched this data with data from the Social Capital
Community Benchmark Survey, available through
the Roper Center for Public Opinion Research at
the University of Connecticut at Storrs.25
What we found was striking. First, our statistical
analysis of the geographical distribution of sales
implied that up to half of all first-time sales to new
customers of Bonobos.com were partly influenced
by “social learning.” Second, sales grew at a faster
rate in locations with greater levels of social capital.
This second finding is quite subtle. It is not the case
that higher levels of offline social capital, per se,
spur online sales. Higher levels of social capital in a
location make information transfer there more
efficient — that is, what gets said locally is more re-
liable and believable in these locations than in
locations with lower levels of social capital. Hence,
when what is said is positive (as it was in the case of
Bonobos), sales increase more quickly.26
Since it is not always possible or practical for
managers to get access to academic datasets like
SCCBS, we also examined the ability of readily
available proxy variables to capture the “offline
information effect.” As is turns out, the number of
bars and liquor stores per capita in a location is a
workable proxy for social capital among 25- to
45-year-old fashion-forward males (the Bonobos.
com target customer). Holding everything else
constant, online sales are higher in locations where
this measure is higher.27
Virtual Fitting Rooms Reduce Returns As noted above, physical locations with “better” offline
information transmission between existing and
potential customers have higher online sales. More-
over, in physical locations with offline showrooms,
retailers can benefit from lower rates of returned
products. These important informational benefits
translate to the online world, as we have also found
that online sites with better information delivery
can reduce product returns.
This is critical for sellers. While product returns
have always been part of the traditional retail land-
scape (quadrant 1), the Internet channel has taken
the challenge of returns to a completely new level.
Andy Dunn, cofounder and CEO of Bonobos, notes,
“Between gross revenue and net revenue, you typi-
cally have a meaningful returns line item.”28 In fact,
the impact of returns on the bottom line of all online
retailers is becoming more pronounced. The United
Parcel Service, for instance, expected returns to in-
crease by 15% in the 2013 holiday season, relative to
what they were the year before; by some estimates,
one-third of all Internet sales get returned.29
“Fitting rooms” placed on websites are one poten-
tial antidote to the returns problem. Specifically, these
are technologies that provide online customers with
accurate fit information and size recommendations in
advance of any buying decision. In an ongoing
research project with the virtual-fitting-room tech-
nology company Metail,30 we explored whether the
richer information delivered online with those type of
tools results in higher sales and lower returns.
To conduct our tests, we randomly assigned cus-
tomers from a large online apparel retailer to one of
two conditions: They either had access to the Metail
virtual fitting tool, or they did not. We found that cus-
tomers with access to the virtual fitting tool had higher
conversion rates and lower return rates than those cus-
tomers without access to it. Thus, higher-quality
personalized information, even if delivered through an
online channel, is a potentially powerful ally in one of
most important battles in omnichannel retailing —
namely, the fight to bring down product return rates.
Serving the Omnichannel Customer In a 2013 article in MIT Sloan Management Review,
researchers Erik Brynjolfsson, Yu Jeffrey Hu and
Mohammad S. Raman predicted: “As the retailing in-
dustry evolves toward a seamless ‘omnichannel
retailing’ experience, the distinctions between physi-
cal and online will vanish, turning the world into a
52 MIT SLOAN MANAGEMENT REVIEW FALL 2014 SLOANREVIEW.MIT.EDU
R E T A I L I N G
showroom without walls.”31 We concur and think
our article provides sellers with a framework for nav-
igating this landscape.
We began this article describing a shopping pro-
cess in which a customer undermined the efficiency
of a company’s existing information and fulfill-
ment methods in order to get exactly what she
wanted. The drive for a solution to such inefficien-
cies promoted the development of our information
and fulfillment matrix — a customer-focused
framework for ar ticulating how information
should be delivered (online or offline) and how
demand should be filled (pickup or delivery).
We showed that a traditional retailer such as
Crate & Barrel can realize considerable gains by im-
proving its online information about nondigital
attributes of products. This gives the customer a
reason and willingness to interact with the retailer
outside the store environment and to initiate and
partially complete a transaction online before
entering the store and finishing it. By providing
accurate price and inventory information online,
the retailer was able to drive economically signifi-
cant offline increases in traffic and sales.
Similarly, we demonstrated that an online-first
retailer like Warby Parker can experience substantial
benefits from an offline presence that simply
showcases inventory. Offline showrooms deliver
economically significant impacts on sales, returns,
awareness and sampling efficiency in locations within
the showrooms’ trading areas. Furthermore, custom-
ers are able to choose the channel that best fits their
needs, with those customers wanting to touch and feel
before buying most likely to visit the showroom.
Like it or not, customers are omnichannel in their
thinking and behavior. Sellers need to be as well.
Omnichannel features initially perceived as “nice
add-ons” are becoming “must-haves.” The question
for sellers is no longer whether to operate an om-
nichannel strategy, but how to implement it most
effectively. Our research underscores that the best
sellers will win the omnichannel revolution by work-
ing across the permeable boundaries of information
and fulfillment, offering the right combination of
experiences for the customers that demand them.
David R. Bell is the Xinmei Zhang and Yongge Dai Pro- fessor and professor of marketing at the Wharton School at the University of Pennsylvania in Philadelphia,
Pennsylvania. Santiago Gallino is an assistant profes- sor of business administration at the Tuck School of Business at Dartmouth College in Hanover, New Hamp- shire. Antonio Moreno is an assistant professor of managerial economics and decision sciences at the Kellogg School of Management at Northwestern Uni- versity in Evanston, Illinois. Comment on this article at http://sloanreview.mit.edu/x/56115 or contact the authors at [email protected].
REFERENCES
1. S. Banjo, “Rampant Returns Plague E-Retailers,” Wall Street Journal, Dec. 22, 2013.
2. As Andy Dunn, founder and CEO of men’s clothing brand Bonobos, has written, “At the end of the day, you’re not building an e-commerce company, you’re build- ing a brand that has e-commerce as its core distribution channel. The difference is subtle but momentous.” See A. Dunn, “E-Commerce Is a Bear,” May 20, 2013, http://medium.com.
3. “eCommerce Disruption: A Global Theme — Trans- forming Traditional Retail,” white paper, Morgan Stanley Research, New York, January 6, 2013.
4. “Alibaba: The World’s Greatest Bazaar,” Economist, March 23, 2013.
5. The important distinction between digital and nondigital attributes was introduced to the academic literature in R. Lal and M. Sarvary, “When and How Is the Internet Likely to Decrease Price Competition?,” Marketing Science 18, no. 4 (November 1999): 485-503.
6. See, for example, A.M. Degeratu, A. Rangaswamy and J. Wu, “Consumer Choice Behavior in Online and Tradi- tional Supermarkets: The Effects of Brand Name, Price and Other Search Attributes,” International Journal of Re- search in Marketing 17, no. 1 (March 2000): 55-78; and J.Y. Lee and D.R. Bell, “Neighborhood Social Capital and Social Learning for Experience Attributes of Products,” Marketing Science 32, no. 6 (November-December 2013): 960-976.
7. This practice has drawn the ire of retailers. See, for example, D. Coleman, “Showrooming Is the New Shoplifting,” May 24, 2013, www.retailers.com.
8. Showrooming, by some industry estimates, is thought to cost U.S. retailers more than $200 billion. See “Show- rooming: A $217 Billion Problem,” May 2013, www.360pi.com.
9. The Internet retailer as a purveyor of “infinite” product variety was probably first popularized in C. Anderson, “The Long Tail: Why the Future of Business Is Selling Less of More” (New York: Hyperion, 2006). Academic re- search has also shown that Internet shoppers are more likely to buy niche products; see E. Brynjolfsson, Y.J. Hu and M.S. Rahman, “Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition,” Management Science 55, no. 11 (Novem- ber 2009): 1755-1765.
10. For the former, see M. Fisher and R. Vaidyanathan, “Which Products Should You Stock?” Harvard Business Review 90, no. 11 (November 2012): 108-118. Aggregat- ing inventory decisions for n independent locations (or, more generally, demand streams) results in lower relative
SLOANREVIEW.MIT.EDU FALL 2014 MIT SLOAN MANAGEMENT REVIEW 53
uncertainty and lower inventory costs, as demonstrated in G.D. Eppen, “Note: Effects of Centralization on Ex- pected Costs in a Multi-Location Newsboy Problem,” Management Science 25, no. 5 (May 1979): 498-501.
11. The cost of holding inventory at a distribution center is lower than the cost of holding inventory at a store. Exclud- ing shipping costs, it is usually substantially less expensive to operate a system with centralized fulfillment than a system that holds inventory in each store.
12. For example, business researchers Antonio Moreno and Christian Terwiesch show that as automotive compa- nies increase the number of products they carry, the supply-demand mismatches increase, and negative effects of uncertainty become more important. When automotive manufacturers extend their product lines, they have to carry more inventories and offer higher discounts. See A. Moreno and C. Terwiesch, “The Effects of Product Line Breadth: Evidence from the Automotive Industry,” April 7, 2013, http://papers.ssrn.com.
13. More recently, some companies have incorporated similar programs in which the product bought online does not need to physically be in the store at the moment of purchase. It is shipped to the store after the customer completes the purchase. We call such programs “buy online, ship to store” (BOSS).
14. S. Gallino and A. Moreno, “Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information,” Management Science 60, no. 6 (June 2014): 1434-1451.
15. This innovation earned WarbyParker.com the moniker “the Netflix of eyewear.” See D. Wong, “GQ Calls It the Netflix of Eyewear,” Nov. 29, 2010, www.huffingtonpost. com.
16. In experiments, the proper “matching” of treatment and control cities is very important, and in typical cases it is accomplished by random assignment of essentially identi- cal experimental units or subjects to either the treatment or the control condition. Clearly, however, Warby Parker man- agement does not open showrooms in random locations but in locations where they expect to see the greatest ben- efit. Any assessment of showroom impact needs to factor this endogeneity into the analysis. We account for it using propensity scoring. See F. Caro and C. Tang, “The 1st POMS Applied Research Challenge 2014 Awards,” Pro- duction and Operations Management, in press.
17. We also conjecture that when a company can effec- tively deliver customer experiences that lead to early purchases through an offline channel, for example by pro- viding outstanding service in a store, an inventory-only showroom or even a pop-up store, this can allow the com- pany to subsequently retain and service these customers via the online channel — essentially acquiring the customer through either quadrant 1 or quadrant 3 and retaining and maintaining the customer through quadrant 4. We thank Lawrence Lenihan for this observation. Authors’ communi- cation with Lawrence Lenihan, cofounder and managing director, FirstMark Capital, March 27, 2014.
18. Other successful online-first retail players are going into this retail format, including dress and accessory rental company Rent the Runway. See A. Jacobs, “Ready to Strut in Ready-to-Rent,” New York Times, January 22,
2014; and E. Brooke, “Rent The Runway Branches Further Offline, With A Showroom at Henri Bendel,” TechCrunch, October 17, 2013 (see http://techcrunch. com/2013/10/17/rent-the-runway-branches-further-of- fline-with-a-permanent-showroom-at-henri-bendel/).
19. For details and routes, see “Warby Parker Class Trip,” n.d., www.warbyparkerclasstrip.com.
20. See www.thestorefront.com; and J.D. Stein, “No Space Too Small, No Lease Too Short,” New York Times, December 20, 2013.
21. See, for example, J. Choi, D.R. Bell and L.M. Lodish, “Traditional and IS-Enabled Customer Acquisition on the Internet,” Management Science 58, no. 4 (April 2012): 754-769.
22. See M. Halkias, “E-commerce Retailers Open Physi- cal Locations in Dallas to Augment Online Stores,” Dallas News, June 4, 2014.
23. For more details, see S. Jacobs, “Bonobos, an Ecom- merce Darling, Finds an Edge in Brick and Mortar,” May 30, 2014, http://streetfightmag.com.
24. This was popularized in R. Putnam, “Bowling Alone: The Collapse and Revival of American Community” (New York: Simon and Schuster, 2000).
25. Documentation that comes with the SCCBS describes it as the “first attempt at widespread systematic measure- ment of social capital in the United States,” and it has been used extensively in economics. See M.B. Aguilera, “The Impact of Social Capital on Labor Force Participation: Evidence From the 2000 Social Capital Community Bench- mark Survey,” Social Science Quarterly 83, no. 3 (September 2002): 853-874; and C.A.L. Hilber, “New Housing Supply and the Dilution of Social Capital,” Journal of Urban Economics 67, no. 3 (May 2010): 419-437.
26. While not tested directly, the converse is implied by our research as well — that if customer experiences are negative, then online sales will slow down more rapidly in locations with more offline social capital.
27. For details, see Lee and Bell, “Neighborhood Social Capital and Social Learning,” 973.
28. Dunn, “E-Commerce Is a Bear.”
29. Banjo, “Rampant Returns Plague E-Retailers”; and “E-Commerce Returns Are Up,” Fox Business video, 03:21, December 23, 2013, http://video.foxbusiness.com.
30. Metail, headquartered in London, allows female shoppers to create a 3-D model of themselves and evaluate how products would fit them prior to making an online purchase. Other companies providing similar tools to apparel and footwear retailers include PhiSix Fashion Labs, which eBay acquired in February 2014, and Pittsburgh-based Shoefitr.
31. E. Byrnjolfsson, Y. Hu and M. Raman, “Competing in the Age of Omnichannel Retailing,” MIT Sloan Manage- ment Review 54, no. 4 (summer 2013): 23-29.
i. For more details, see D.R. Bell, J. Choi and L. Lodish, “What Matters Most in Internet Retailing,” MIT Sloan Management Review 54, no. 1 (fall 2012): 27-33.
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- 56115Wx.pdf
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- Global
- Accelerated Innovation: The New Challenge From China
- Accelerated Innovation: The New Challenge From China
- The Push to Accelerate Innovation
- About the Research
- Industrializing the Innovation Process
- Pushing the Boundaries of Simultaneous Engineering
- Cycling Rapidly Through “Launch-Test-Improve”
- Combining Vertical Hierarchy With Horizontal Flexibility
- Implications for Global Competition
- Responding to the New China Challenge
- Reengineering Established Innovation Processes
- Focusing R&D Activities on Leveraging Accelerated Innovation Capabilities
- Exploiting the Potential of Alliances With Chinese Partners
- About the Authors
- References