Retail analytics

1. “Quote or callout goes here and here. Quote or callout
goes here and here. Quote or callout goes here and here.”
- Frank Nauta, SAS
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quamendit quis exerrov idebiscide vendandia debitatis
aperion sequia consequ ossequiaepta ipsa soluptatur accus
sequam qui te voloremquo qui ratur?
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2. “Quote or callout goes here and here. Quote or callout
Table of Contents
goes here and here. Quote or callout goes here and here.”
- Frank Nauta, SAS
High Performance Retail: The Art of the Possible_______________________________________________________ 3
In-Database Analytics _________________________________________________________________________ 4
In-Memory Analytics _________________________________________________________________________ 4
I. Addressing Market Opportunities with High Performance Retailing______________________________________ 6
High Performance Revenue Optimization: Price, Promotion and Markdown_ _____________________________ 6
High Performance Planning: Assortments and Merchandising_ ________________________________________ 8
_
High Performance Analytics: Developing 1:1 Interactions _____________________________________________ 10
II. The Benefits of High Performance Retailing_________________________________________________________ 11
1. Ask and Answer More Innovative Questions______________________________________________________ 12
2. Increase Speed of Analysis _ __________________________________________________________________ 12
_
3. IT and Business Can Work More Strategically _____________________________________________________ 13
4. Give Real-Time Decision-Making to Retailers Across the Supply Chain _ ________________________________ 13
5. Start Small and Scale Up______________________________________________________________________ 13
6. Tame Big Data______________________________________________________________________________ 13
7. Encourage Better Retailer-CPG Collaboration_ ____________________________________________________ 14
8. Avoid Offer Spam_ __________________________________________________________________________ 14
III. Getting Started with High Performance Retailing____________________________________________________ 14
Eliminating Data Silos___________________________________________________________________________ 16
Conclusion_ _____________________________________________________________________________________ 17
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3. “Impulse buying is not really an impulse any longer. Today’s
shoppers are making better-informed buying decisions.”
- Frank Nauta, SAS
High Performance Retail: 1. Mobilized consumers are accessing up-
to-the-minute information in real time.
The Art of the Possible
2. Products are advancing rapidly, creating the
A perfect storm of factors are
need for constant merchandising changes.
in constant motion, forming a
tidal wave effect on the retail 3. Pricing options are multiplying at an
industry. In order to stay on top of unprecedented rate.
the changes, merchants need to 4. Competitive pressures are compressing
implement the most advanced and product development and marketing
intuitive systems. That’s where High timelines.
Performance Retailing comes in.
“Impulse buying is not really an impulse any longer,” noted
High Performance Retailing drives
Frank Nauta, Advisory Solutions Architect, SAS Retail and
business performance for retailers
Consumer Packaged Goods (CPG). “Today’s shoppers are
because it includes the best of retail
making better-informed buying decisions. They are smarter,
domain expertise plus superior
more diligent and tighter with money.” And because new
analytics, coupled with the latest
product styles, versions and models are rapidly entering the
high performance computing capabilities. It is more than
marketplace, merchants must be wary of the need to stock
“feeds and speeds” — it is about helping retailers gain new
the newer item and take a loss on the previous version.
insights, empowering them to take action and drive business
impact — resulting in increased margins, revenue, customer Additionally, as the need grows for more personalized and
loyalty and satisfaction. localized pricing, the seemingly endless product pricing
Four key events have pushed the retail industry to the edge combinations are making category and brand managers’
of its ability to keep up: heads spin. Those pressures are coupled with the push
for quick sell-through — particularly in the fast-moving
consumer goods, electronics and apparel segments.
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4. SAS High Performance Revenue Optimization
Suite allows retailers to optimize prices at a
granular level down to the store and SKU level.
SAS HPR can come to the rescue by facilitating success
through the combination of three key capabilities: In-Memory Analytics allows the data and analytics to run
together simultaneously. In a large department store with
Domain Expertise — backed by 36 years of experience with predictive
millions of SKUs, this type of analysis took hours in the past
analytics and work with the majority of the leading global retailers
without In-Memory Analytics. With all the data stored in
Advanced Analytics — faster analysis and more detailed, granular results memory, all the technological and analytical tricks to make
money and increase wallet share are calculated in real time.
High Performance Computing — featuring the powers of Grid
Computing, In-Memory Analytics and In-Database Analytics SAS High Performance Retailing addresses some
of the hot issues and opportunities in retail:
In-Database Analytics moves the decision-making ►► The radical shift in pricing strategies or approaches
capabilities closer to all the data. As soon as POS infor- that drives margins, retains customers and builds brand
mation is imported, the results are scored inside the identity/equity.
database. For example, using past purchase behavior and This shift can be addressed with high performance lifecycle
current contents of the basket, the system can better predict price optimization — spanning regular or everyday pricing,
an individual shopper’s future behavior and provide more promotion optimization whether in traditional circulars
appropriate, personalized offers. With real-time scoring, or new digital promotion vehicles, and optimization of
results can be delivered while the shopper is still in the store. markdown of seasonal goods and clearance items. The
Previously, the POS data needed to be removed, scored, then SAS High Performance Revenue Optimization Suite allows
reinserted — a round-tripping task that took hours instead retailers to optimize prices at a granular level down to the
of seconds. store and SKU level while taking cross-effects into account
and knowing that price transparency is key.
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5. Retailers have to differentiate their
business using service.
- Paula Rosenblum, Retail Systems Research
Merchants also are able to perform what-if analyses with ►► The goal of delivering a more personalized 1:1
SAS optimization solutions. For example, they can analyze experience with individual shoppers, and expanding
and run multiple pricing scenarios on millions/billions of personalized marketing on a global scale.
product/location combinations to support markdowns,
Retailers who can deliver the right messages and offers to
promotions and regular pricing strategies.
the right consumers at the rights times increase revenue,
►► The need to execute optimized assortments at margin and customer loyalty.
the store/SKU level so that localized, even personalized “Retailers have to differentiate their business using service,”
assortments can be delivered to customers in stores and noted Paula Rosenblum, Analyst with Retail Systems
online and via smartphone applications and kiosks. Research. "There is almost always something consumers
Only retailers that can rapidly adjust to market changes, value alongside price. The challenge is to find the right thing
competition and knowledgeable customers, and deliver — and communicate it to the right consumers effectively.”
optimized local assortments will grow and endure.
Some key questions that can be addressed with
high performance assortment optimization include:
How do you tailor assortments to relevant aspects
of consumer preferences by season or subgroup or
merchandise attribute?
How do you map assortments to space constraints?
How quickly can your team develop and execute new
assortment plans — by stores or clusters of stores or
for individuals?
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6. We believe retailers are eager to implement the next generation
of optimization systems given the strong track record of
optimization technology on their P&L.
- Deborah Weinswig, Citi Investment Research & Analysis
This E-book will provide detailed insights and
information to help guide retailers down the road of With the introduction of high performance versions of the
High Performance Retailing, covered in three sections: optimization solutions, retailers can expect results they
never dreamed of before. For example, they will be able
I. Addressing Market Opportunities with
to limit overstocks and out-of-stocks with better pricing
High Performance Retailing
and markdown strategies; and they can improve results of
II. The Benefits of High Performance Retailing promotional strategies by targeting the right customers with
III. Getting Started with High Performance Retailing individualized promotions.
Leading Wall Street financial analyst Deborah Weinswig,
I. Addressing Market Opportunities Managing Director of the retailing team at Citi Investment
with High Performance Retailing Research & Analysis, confirms the potential of high
performance optimization. "Retailers maximize returns
Each component of High Performance Retailing plays a role
with optimization technologies," Weinswig noted in a
in the bigger picture of overall growth and success within
January 2012 report. "Retailers have been investing in
a retail or CPG company. While many companies already
optimization systems since the early 2000s and have realized
have seen positive results from optimization, planning and
significant top-line and margin benefits as a result of these
analytics, the high performance features bring the meaning
investments. Retailers are now looking at the next generation
of success to a new level.
of these technologies to build on their existing capabilities,
including price, promotion, size and marketing optimization.
High Performance Revenue Optimization:
Technology providers like SAS are at the forefront of this
Price, Promotion and Markdown
trend. We believe retailers are eager to implement the next
The term “optimization” speaks for itself. It obviously is in generation of optimization systems given the strong track
the best interest of businesses to optimize their processes. record of optimization technology on their P&L." She called
Most leading retailers have taken advantage of some form of this new trend “optimization on steroids” and ranked it as
optimization in the past 10 years, realizing positive results. the number-one trend in 2011.
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7. A major U.S. retailer reported a margin basis point
improvement of 10 to 40 points with high
performance markdown optimization.
A number of retail companies already are reporting High Performance Retailing Promotion
impressive results with the speed and efficiency at which Optimization Gives Stores
the information is made available via high performance that ‘Mom-and-Pop’ Feeling
optimization. Business users are now able to implement
Today’s retailers yearn for the way that Mom-and-Pop store
profitable changes using near-real-time data. They are better
owners catered to individual customers. High performance
able to take advantage of quickly changing trends. Lacking
promotion optimization can bring the retail experience
this type of decision-making speed, many merchants will risk
full circle, providing the opportunity to give customers
lost sales today and in the future.
individualized offers and promotions when they enter the
Some recent results include: Using customer insights to store. Today’s shoppers can walk into a store, swipe their
develop individual offers, one leading retail organization loyalty card at a kiosk and receive coupons targeted to them,
improved its offer redemption rate by 6%. A major U.S. based on their past purchase history and likelihood to buy
retailer reported a margin basis point improvement of 10 to certain products.
40 points with high performance markdown optimization.
Additionally, consumers carrying mobile devices can receive
An international department store saw revenue jump 3% to
personalized offers through opt-in mobile apps or geo-
10%, and a North American supermarket chain saw increased
targeting solutions. Again, knowing shoppers’ past purchase
unit sales, a margin increase of 2% to 7%, and revenue
histories, aligned with their likelihood to purchase certain
increases of 3%.
products that day, high performance optimization is
Previously merchants had to run markdown optimization a win-win for both retailers and the customers.
at the regional level, but now it can be accomplished at the
Retailers without high performance optimization may
store level. While they can still look at weekly data, now they
still be waiting until checkout to provide shoppers with
also can use daily data to help with promotion optimization,
coupons or offers. While that type of offer may help to bring
especially during the holidays. They could even conduct
shoppers back tomorrow or next week, it doesn’t provide the
hourly analysis when it comes to a day like Black Friday.
immediate satisfaction of a real-time relevant offer.
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8. Merchandise planning seeks to suggest the right item,
right price and right location. In the high performance
arena, this type of planning can be accomplished more
effectively and at warp speed.
High performance optimization also provides benefits in him an offer for a higher margin item, such as sippy cups. In
the eCommerce arena. “We have solutions that watch what the end the shopper receives a more palatable offer and the
you are doing online, monitor your mouse movements, retailer makes more money on the higher margin item.
your time in the shopping cart, and your clicks on other
High Performance Planning:
products,” explained Nauta. The solution is continuously
Assortments and Merchandising
scoring and rescoring shoppers as they move through the
site. If a shopper hesitates at any time during the process, or It is important to speak the language of individual stores.
abandons the cart, the solution then rescores that shopper in Merchandise planning seeks to suggest the right item, right
real time. Based on the retailer’s specifications, that shopper price, and right location. In the high performance arena, this
may receive a live chat request or immediate percent-off type of planning can be accomplished more effectively and
coupon in order to incent them to purchase. Literally in at warp speed.
seconds the solution can decide if that shopper deserves an
incentive or should be left to their own devices.
Answering the Margin Call
Like the movie Moneyball, High Performance Retailing
invites its users to ask new questions, said Anthony Volpe,
Retail Analytics Advisor, SAS. For example, at the POS, high
performance promotion optimization can determine “who
I am and what I have bought in the past, then make me an
offer.” Before, cart analysis might have told the retailer that
the customer is buying diapers and wipes, so give him an
offer for baby food. But now, with high performance analysis
of past purchase behavior, the system can decide to give
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9. By tailoring our offering by market, we are able to increase engage-
ment with local customers. The enhancements that SAS is making to its
merchandise planning product in 2012 will enable our merchants
and planners to develop and execute these customized
assortments more easily.
- Bernie Powers, Kohl’s
Retailers are now realizing the potential of this type of and combinations. They can look at stores by individual
power. "Localizing our assortments is a key growth initiative customers. They can create more localized clusters
for Kohl's," said Bernie Powers, Kohl's Senior Vice President based on SKU.
for Merchandise Information. "By tailoring our offering
Similarly, merchants must be able to decide which items
by market, we are able to increase engagement with local
to keep, which ones to drop and which new items to add.
customers. The enhancements that SAS is making to its
Traditionally, merchants have made these decision based
merchandise planning product in 2012 will enable our
on revenue, margin and units. But with high performance
merchants and planners to develop and execute these
planning, they can incorporate customers’ scores into that
customized assortments
decision, so even if it is not
more easily."
a best-selling item, but is
One of the most highly important to one of the best
sought, yet difficult customers in a store, then the
to execute, aspects of retailer might want to keep
assortment planning is being that item in that store.
able to plan at the store
level. With High Performance
Retailing, retailers can move
to true localization. They
can review assortments in a
matter of seconds in terms
of attributes such as colors
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10. With the predictive capabilities we have with SAS tapping
into the historical purchasing data of almost every grocery
shopper in the U.S., we're able to reach the right people
with the right messages with more precision than
anyone else in the market.
- Eric Williams, Catalina Marketing (retired)
High Performance Analytics: company. The speed of data did that. We are literally getting
Developing 1:1 Interactions all U.S. sales information in five hours and actively using that
information to market to consumers the next day.”
Catalina Marketing helps its retail clients reach the right
customers with the right messages and offers. With high To stay on the cutting edge, Catalina needs to build accurate
performance analytics, Catalina is growing faster than ever. models quickly. "I know from experience and discussions
"We've been helping our clients reach the right people with with colleagues in the industry how long it can take to
the right messages for 25 years," said Williams. "But with build a predictive model,'' Wachter noted. "They're taking
the predictive capabilities we have with SAS tapping into the more than a month to build one model. Using SAS, we've
historical purchasing data of almost every grocery shopper in automated the execution of our models and scoring them
the U.S., we're able to do it with more precision than anyone against our entire 140 million consumer database for the
else in the market." implementation of marketing campaigns literally in days."
“SAS solutions have allowed us to actually predict what
customers are likely to buy and that has revolutionized
our ability to make our clients’ coupons and messages
relevant to shoppers,” according to a Catalina executive.
Using SAS Scoring Accelerator for Netezza, Catalina
has reduced its model-scoring times from 4.5 hours to
approximately 60 seconds.
The change in Catalina’s approach has been pivotal. “At the
start, if you bought X you get a coupon for product Y, but that
decision was based only on current purchase information,”
Williams explained. Catalina actually worked with SAS to help
develop the use of historical purchase data. “That whole
concept changed Catalina into an unbelievably profitable
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11. There is almost always something consumers value along-
side price. The challenge is to find the right thing — and
communicate it to the right consumers effectively.
- Paula Rosenblum, Retail Systems Research
"Not only that, but our samples are 10 to 15 times larger
than anything anyone else is doing today,'' Williams added.
ll. The Benefits of High
"Nobody could do what SAS is enabling us to do — the
Performance Retailing
capabilities just didn't exist beforehand." With High Performance Retailing, merchants now have
the horsepower to localize assortments, better allocate
High Performance Retailing analytics prevents merchants
employees and merchandise, and improve in-store
from having to compromise their models. They no longer
marketing.
need to accept the assumptions; they can be more precise by
having better models. Retailers Can Count on Significant
Williams used the fast-moving consumer goods industry as Benefits When Implementing
an example. “About 20,000 new products hit the door of a High Performance Retailing:
retail store on an annual basis,” he explained. “Well over 90%
never see the light of day in year two — flavor extensions, 1. Ask and Answer More Innovative Questions and
line extensions, packaging changes, for example. With Receive More Precise Answers for Actionable Results
high performance analytics, we now have the information 2. Increase Speed of Analysis
available to begin to predict what people will want next, 3. IT and Business Can Work More Strategically —
rather than just using instinct.” Reducing Tedious, Time-Consuming One-Off Projects
A large grocery chain in North America is using SAS 4. Give Real-Time Decision-Making to Retailers
grocery analytics to help serve individual customers Across the Supply Chain
in individual markets. 5. Start Small and Scale Up
With SAS Analytics, the grocer knows key customers and 6. Tame Big Data
understands the different types of customer by individual 7. Encourage Better Collaboration Between
market. Getting the analytics down to the operations of the Consumer Packaged Goods (CPG) and Retail
individual store level is where the real value lies.
8. Avoid Offer Spam
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12. High Performance Retailing and here. Quote or callout
“Quote or callout goes here offers far more dimensions than
ever here and here. Quote or callout goes cross-elasticities
goes before. Now companies can calculate here and here.”
of demand for SAS
- Frank Nauta, thousands and thousands of SKUs in the
grocery store.
1. Ask and Answer More Innovative Questions 2. Increase Speed of Analysis.
and Receive More Precise Answers for
Actionable Results. With High Performance Retailing, revenue optimization for
a large department store, for example, can be completed in
High Performance Retailing is really about the uninhibited less than two hours for the entire organization. Executives
use of analytics: being able to answer questions that you can generate a daily forecast and facilitate immediate
could never answer before because it took too long, and decisions, which was not feasible earlier. Price optimization
using uninhibited creativity to better leverage the data can be calculated for an entire organization, in multiple
you have. scenarios, in less than four hours vs. waiting days for
results previously.
High Performance Retailing offers far more dimensions than
ever before. Now companies can calculate cross-elasticities Before High Performance Retailing, merchants were forced
of demand for thousands and thousands of SKUs in the to run models overnight, put in a change in multiple demand
grocery store. Previously, without a hypothesis of a cross- models for different categories, look at them the next day
sell of beer and diapers, they could only use and fine-tune
intuition to come up with that combination. them. That process
Now the technology can calculate elasticities could take up to a
and come up with combinations category and week. Now they
brand managers never thought of before. can run multiple
The winners will be those with the most models in a matter
creative groups that ask better questions. This of minutes within
completely changes how companies manage the same day. A
and run their businesses. process that used
to take seven days
can be done in one
day today.
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13. Today’s retail and CPG partners are realizing the value
of using high performance resources to collaborate
rather than compete. The end goal is selling more of
the products customers want.
3. IT and Business Can Work More 5. Start Small and Scale Up.
Strategically — Reducing Tedious, Time-
Consuming One-Off Projects. By working with a partner that can provide each different
component of the business suite, merchants can choose to
Business users don’t want to be forced to have to take every start with one component, such as markdown optimization,
need to the IT. Retail IT organizations are spread thin and then add promotion optimization later, or they can ramp up
face an exploding amount of new needs and technologies. with the full suite of optimization solutions from the start.
High Performance Retailing can help both. IT can build a
strategic retail analytics foundation. Business users can
explore, visualize, hypothesize and test hypotheses and 6. Tame Big Data.
put innovative ideas into action — using science to help High Performance Retailing tames big data by getting directly
merchants know and engage customers. Merchants can to the nuts and bolts of the problem. “It can boil all the
augment the art of retail. questions down to a "yes" or "no" answer, or a score of 1 or
zero,” explained Nauta. This becomes particularly significant
when examining social media communication. “High
4. Give Real-Time Decision-Making to Performance Retailing digs through all the sentimental noise
Retailers Across the Supply Chain. and get likes vs. dislikes, detecting market trends — then you
From inventory and assortment decisions to real-time know how to market.” High Performance Retailing allows
merchants to dissect social communications in real time — in
offers — retailers need rapid, fact-based ways to make the
seconds vs. days for real-time insights, or months for figuring
best and quickest decisions. Merchants are now competing
out a trend. “Now we can detect change in demand based
across segments and channels — drug stores and big-box
on what people are writing on Facebook,” he explained. “It’s
merchants are selling groceries, and shoppers can buy their amazing how much information is generated by the ‘like’
favorite apparel or hard-to-find foods on Amazon. Therefore, button. With that information we can track what they are
store managers and associates must be empowered to going to do, their followers, what’s written on their wall.”
provide the best service when customers walk into the
store. High Performance Retailing enables game-changing
decisions and actions. ►► 13

14. Data is going to change your company, but it must be tied
to the merchandising and marketing teams directly.
- Eric Williams, Catalina Marketing (retired)
has a memory of previous offers and shoppers’ responses to
7. Encourage Better Collaboration Between
those offers, merchants can now send out the right messages
Consumer Packaged Goods (CPG) and Retail.
at the right time — reinforcing brand loyalty and preventing
Today’s retail and CPG partners are realizing the value of customers from jumping to another brand.
using high performance resources to collaborate rather
than compete. The end goal is selling more of the products III. Getting Started with
customers want. By sharing real-time data, retailers and CPG High Performance Retailing
companies can stock the right product assortment and make
better use of trade promotion dollars. High performance Once a company understands the value High Performance
computing can provide more accurate forecasts faster. Retailing will bring to the business, the next step is deciding
Globally, many of today’s CPG companies and retailers how to get started. That decision may depend upon the
are sharing data and working together to better analyze level of innovation built into the culture of the company.
shopping behavior. Many companies don’t have the culture of looking for new
insights in place, so they may just ask for faster markdown
8. Avoid Offer Spam. optimization, for example — a cost reduction strategy or
process improvement. That kind of company should get
High performance computing can help companies avoid
started with High Performance Retailing in a concentrated
sending target shoppers too many messages, and too many
way, focusing on one area like markdown, while thinking
of the wrong messages. “The last thing you want to do is
about how they might use an environment that gives them
inundate your consumer base with multiple communications
more power to gain better insights.
so that they think they are receiving spam,” noted Eric
Williams, Executive Vice President and Chief Information On the other hand, for an innovative company like Target,
Officer (recently retired), Catalina Marketing. “You must or a large, innovative CPG company, their teams will want to
have a memory of what offer you spit out to me last week have multiple high performance platforms available so they
that I said ‘No’ to,” added Nauta. By using a solution that can be creative across the board from day one.
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15. High Performance Retailing gives individuals
the opportunity to become superstars in the
organization.
The learning curve for High Performance Retailing should Williams shared some insights on misconceptions he believes
be quick and easy. It is an exciting time for the members are rampant in the industry. “There is a belief you have
of business teams. It is not the type of change that puts to go hire statisticians for this type of analysis,” he noted.
people’s jobs at risk. It gives individuals the opportunity to “That’s false.” Secondly, he noted, organizations must
become superstars in the organization. If they find the right eliminate the idea that the analytics team should report to
insights — such as realizing a customer is highly sensitive IT or Operations. “I have cautioned everyone — don’t do
to the front page of the weekly either. Data is going to change
circular, and there are 1,300 other your company but it must be
customers just like them — that tied to the merchandising and
insight would be a big win. marketing teams directly.”
Because High Performance Retailing For example, when kicking
analysis can be completed so off a loyalty program, the
quickly, ideas can be tested easily marketing team should work
and often without the risk of with the finance team to analyze
damaging the business or bringing customer credit card data.
IT to its knees. For example, High Typically credit card operations
Performance Retailing analysis can are completely separate from
uncover cross-sell items that are marketing. “It is a great way to
not necessarily intuitive. This opens understand your customer base
up a whole new set of ideas and before launching a major loyalty
potential for creating new ideas — it program,” said Williams.
is a different way of talking about
high performance.
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16. If business units continue to operate independently,
merchants will never truly understand the consumer
in the marketplace.
Eliminating Data Silos across merchandising, supply chain and store operations,
for example. This leading grocer is empowered to make
Most importantly, companies need to eliminate the
better decisions at store level. They engage their customers,
silos where they store some data for sales, other for
and grow and retain customers over the long haul. Science
merchandising, and more for promotions/planning. If these
powers their company goal of delighting customers.
business units continue to operate independently, merchants
By keeping customers at the center, at their focus, this
will never truly understand the consumer in the marketplace.
organization continues to succeed.
A major grocery chain in North America has embraced this
concept throughout the chain, which serves customers with
a wide range of regional differences and brand strategies.
This organization makes sure their pricing and promotion
optimization engines are linked with their shopper insight
foundation. Rather than looking at the science of price
optimization in isolation, this leading retailer can make
strategic, holistic and more informed pricing decisions for
their valued customers in a wide range of markets.
Additionally, this retailer uses SAS as a strategic provider
for integrated retail analytics. Their customer and other
data is all collected and analyzed in one location and this
company has a holistic view throughout the operation —
►► 16

17. The bottom line is that High Performance Retailing puts
better and faster analytics in the hands of merchants, for
better insights and speed to market.
Conclusion
In today’s fast-changing retail environment, retail and The combination of SAS domain expertise, high performance
CPG companies must react just as quickly in order to stay computing capabilities and analytics’ experience creates
competitive. While optimization, planning and analytics have the new realm of High Performance Retailing. With High
been important components of the retail equation, they Performance Retailing, merchants can collect, analyze
become significantly more powerful when fueled by high and make decisions in warp speed, in the “retail moment
performance computing. of truth” — as consumers are standing in the aisle, are at
their online shopping carts checking out, or are conducting
product research online. The highly advanced High
Performance Retailing solutions recommend new cross-
sell and upsell combinations that intuition alone could not
match. And, by effectively analyzing all offers across all
channels, High Performance Retailing can help companies
avoid shopper offer fatigue — saving current and
future sales.
The bottom line is that High Performance Retailing puts
better and faster analytics in the hands of merchants,
for better insights and speed to market. Without it, retail
companies will pay the cost of not reacting fast enough
in today’s environment.
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18. About SAS
SAS helps retailers and grocers spend less time crunching numbers and more
time growing revenue with key technologies customized for today’s multichannel
World Headquarters merchants. Built around a powerful core of market-leading business analytics, our
SAS Institute Inc.
comprehensive suite of retail solutions tackles the industry’s greatest challenges,
100 SAS Campus Drive
Cary, NC 27513-2414, USA
including customer insight (customer intelligence and social media analytics); price
P: 919.677.8000 optimization (regular, promotion and markdown); size optimization (size profiling and
F: 919.677.4444 pack optimization); assortment planning; integrated merchandise planning (allocation,
space management and optimization); forecasting (across the enterprise and across
market segments); and loss prevention. With more than 35 years of experience
working with leading grocers and retailers, SAS helps retailers make better decisions
faster. Learn more at www.sas.com/retail.
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