This report focuses on identifying opportunities
that will occur or emerge in the near future. Although
the predictions do not span all areas of consumer
goods (CGs), they are the ones Gartner believes offer
competitive advantages or are necessities for
long-term growth and viability.
Retailers are looking to manufacturers to improve
the analysis and insights in support of category
decisions — otherwise, retailers will develop these
skills in-house. Manufacturers are looking to direct
POS to help provide a real-time view of current
performance, rather than waiting for syndicated data.
Both aspects are affecting the role of analytics and
increasing the need to use analytics effectively.
Retailers are also demanding decreased time to market
for innovative new products. As manufacturers' margin
pressure continues to grow, this will help drive
more-cost-effective product development.
Retailers looking to further reduce supply chain
costs and to increase visibility are looking to
manufacturers to adopt pallet-level RFID to be one of
the key enablers, not just an interesting pilot
scheme. Manufacturers are fighting to retain control
of space management and maintain their influence in
the face of retailers growing centralized control of
space and assortment. These challenges demand changes
in business practices and the use of IT resources to
identify risks and opportunities in real time, as well
as the agility in operations to exploit competitive
advantages.

2.0 Strategic Planning Assumptions
Strategic Planning Assumption: By 2009,
manufacturers will face pressure from retailers to
improve their analytical capabilities or "lose a
seat at the table" for influencing category
decisions (see Note 1).
Key Findings: CG manufacturers have not
invested on parity with retailers in category
management or in analytical tools. In particular, they
have fallen behind in obtaining predictive
capabilities. As a result, retailers are finding less
insight coming from manufacturers. Additionally,
manufacturers seem to overestimate their analytical
capabilities, sharing the unfounded belief that they
are significantly better than their peer group.
Market Implications: CG manufacturing
companies will need to invest to improve their
analytical requirements. Purchasing online analytical
processing (OLAP) capabilities is not enough. They
need to be more proactive through predictive modeling
capabilities. Some larger manufacturers may even lose
their positions as category captains. Less significant
manufacturers will be able to remain relevant in
analytics to the degree that they can provide
consumer, market or other retailer-specific insights
that are not known to the retailer.
- Conduct realistic benchmarking against peers.
Brokers or sales agents can help, because they
have a broad perspective in the market from both
sides.
- Migrate off of spreadsheet applications to those
that are server- or Web-based and can facilitate
data load and analysis by a broader team of
appropriate people.
- Ask retailers how they see the collaborative
dialogue evolving and what the platforms will be
for collaboration. Plan accordingly.
- Evaluate predictive modeling optimization
capabilities to harness the power of available
data and spend more time gleaning insights and
preparing for the future and less time reporting
the past.
- Evaluate out-of-the box category management
solutions. Don't attempt to build one. We've seen
very little success in this area. You're a
manufacturer, not a software company.
"Manufacturer/Retailer Beliefs About
Analytical Abilities Underscore Need for Increased
Dialogue"
"Nielsen Offers Most Complete Strategic
Information for Consumer Goods Manufacturers"
Analysis By: Dale Hagemeyer
Strategic Planning Assumption: By 2009, PLM
platforms will be adopted by the majority of leading
apparel, footwear and accessories manufacturers to
enable innovation and drive global product
development.
Key Findings: Retailers are increasing the
pressure on AFA manufacturers to innovate and are
driving the need to design the right products quicker,
as part of a move toward fast fashion. Capturing the
consumer's attention and retaining it are key drivers
of product innovation.
At the same time, globalization is driving the need
for improved collaboration, both internally and
externally, across the entire supply chain. Increasing
competition and pressure on margins is also forcing
improved product development productivity, while
reducing costs.
Market Implications: AFA manufacturers that
lack an effective PLM strategy to enable the various
challenges of the product development process will
find it increasingly difficult to compete. Competing
in the global marketplace is not manageable without
tools to facilitate the development of new products
focused on local markets and leveraging successes
globally to support brand value. Traditional manual
approaches to product design are migrating to
more-structured business processes that are centrally
managed and controlled.
Best-practice Web-based business processes are
replacing paper documents by establishing a central
database approach, workflow and alert management, and
integrated planning capabilities. Combining
computer-aided design (CAD)/design tools with all the
information required to produce comprehensive tech
packs and collaborating over their creation and
maintenance is changing the way that trading partners
combine their efforts to swiftly design new products.
- Businesses should map out current product
development and management processes and assess
where adopting best-practice business processes
would strengthen the approach.
- The scope of PLM functionality varies with each
vendor's solution. Businesses with significant
pain points should focus on solutions that address
their priorities.
- Businesses should adopt product platforms with a
modular approach so that initial challenges can be
addressed and a foundation can be created for
later enhancement.
- Businesses and IT should jointly evaluate PLM
solution opportunities to coordinate product
development across global supply chains.
- Businesses should collaborate with strategic
retail partners on developing exclusive or custom
items for their assortments, which will illustrate
their ability to innovate and hence differentiate.
"Fast Fashion Demands PLM"
"Product Life Cycle Management Delivers Cost,
Quality and Time Benefits to Apparel, Footwear and
Accessories Manufacturers"
Analysis By: Peter Bambridge
Strategic Planning Assumption: By 2011, RFID
will be adopted at a pallet level across global supply
chains in response to retailer edicts and strong
market influences.
Key Findings: Retailers' RFID initiatives
and edicts will combine to encourage CG manufacturers
to adopt the use of RFID on pallets. The resulting
improved visibility will provide the retailer with a
deeper level of consumer awareness and help to further
improve the shopping experience.
It will also provide an opportunity for
collaboration, resulting in increased efficiencies and
improved service levels for the consumer by avoiding
out-of-stocks on the sales floor. This will require
additional IT investments and responsibilities for CG
companies in adopting RFID into the supply chain and
will provide some benefits.
Retailers will need to share additional
information, such as the improved demand signals, for
further benefits to be realized. Solution providers
currently working with CG companies on these
initiatives include CHEP, Accada, IBM, T3Ci,
OATSystems and TrueDemand Software.
Market Implications: CG companies that
succeed in improving collaboration with retailers to
facilitate execution at the retail store level will
have competitive advantages in terms of in-stock
levels, resulting in improved sales and consumer
satisfaction. Like category management collaboration
initiatives, this will give CG companies a method to
differentiate themselves by delivering extra value to
key retail customers and ultimately better service to
consumers.
Additional benefits include reduced inventory
levels by having the right stock in the right place at
the right time, reduced shrinkage and, hence, improved
margins. New product introductions and promotions can
also benefit from increased visibility and analysis of
new data feeds. In addition to investment, the new
RFID approach will require changes to business
processes, and provide new opportunities for real-time
alerts and a more predictive modeling approach.
- Businesses should identify the specific data
that is generated by RFID-tagged pallets and how
analytics can be applied to this data (delivered
by retailers) to deliver actionable insight into
the supply chain.
- Businesses should collaborate with key retail
partners on improving key metrics, such as
out-of-stock positions and promotion performance,
to ensure focus on realization of mutual business
benefits.
- Enterprises should establish a broad-based
internal team to identify RFID opportunities and
to gain a clear understanding of the development
and support requirements.
- IT should identify potential solutions that
leverage RFID data to improve decision making by
taking advantage of alerts, workflows and
exception management to minimize the data volumes
handled.
"Benchmark Your Retail Supply Chain RFID
Strategy"
"Market Share and Forecast: Radio Frequency
Identification, Worldwide, 2005-2011"
Analysis By: Peter Bambridge
Strategic Planning Assumption: Through 2008,
direct POS will be used by most all CG manufacturers
as syndicated POS data is used today, because of the
increased pressure to capture more real-time
information.
Key Findings: Dominant players currently
don't exist. There are numerous niche providers and
low barriers to entry. Current service providers
include Blue Agave Software, Decisions Made Easy,
Oracle, Relational Solutions, VeriSign, Vendor Managed
Technologies and Vision Chain. Direct POS benefits
sales, supply chain and marketing functions by
providing rapid visibility (usually a one-day lag)
into retail conditions such as product availability,
promotions, inventories and seasonal product
sell-through.
Market Implications: The need to understand
and react to this information is rapidly becoming a
competitive advantage for manufacturers that can do
so. Examples include being able to react to product
out-of-stocks, promotional irregularities or
end-of-season inventory builds with a 24-hour lag
instead of several weeks.
There was a time when CG companies that had the
ability to understand traditional syndicated data
could extract a competitive advantage. However, these
data sources are now the status quo, and it takes
weeks to send this data. The market is moving closer
to real time, and CG companies that make the move to
direct POS data capture will gain a competitive
advantage. However, cooperation from retailers is
required, meaning they must be willing to share the
data.
- Don't wait. Start evaluating direct POS
capabilities now.
- Carefully consider whether you want to try to
build these capabilities yourself. It is an
onerous task and requires experience to gather,
cleanse, remove duplicate records and make the
data available. We see very few CG companies doing
this, and many implode over time before moving to
outsourcing.
- Start with your key customers. Select
solution/service providers that already have
expertise in handling the data from your key
retailers.
- Focus on user tools. If you have a
company-standard analytical package, see if one of
the vendors can run the data through that package.
Without the right analytical tools, the value of
the data will not be maximized.
"Making Sense of Direct Point of Sale Options
in the Consumer Goods Industry"
Analysis By: Dale Hagemeyer
Strategic Planning Assumption: By 2009, Tier 1
grocery retailers will use automated store-level
assortments to drive centralized space management and
take control away from the CG manufacturers that
currently provide these services as part of their
differentiation.
Key Findings: Identifying the ideal
assortment of products for a specific store, based on
its actual sales history, trends and other attributes
(such as location and shopper demographics), has long
been the aim of many retailers. Migrating from
averages-based template selections of products and
space management layouts to locally tailored
assortments displayed to maximum effect has been shown
to deliver significant sales and profit growth through
reduced out-of-stocks and lower inventory levels.
In response to this aim, major grocery retailers
are accelerating the adoption of a new generation of
centralized space and assortment planning solutions.
These solutions have been developed to make store
specific planogramming a reality as processing power,
application intelligence and data availability have
all advanced. Meanwhile, the resources required to run
such solutions have declined significantly. As these
systems are adopted by retailers, there are major
implications for CG manufacturers.
Current solution providers include Galleria and SAS
Institute.
Market Implications: The need to get to a
more-local assortment and a store-specific planogram
is rapidly becoming a competitive advantage for
retailers. As a result, the adoption of store-specific
assortments and planograms is predicted to grow and
lead to CG manufacturers losing control over the space
management process.
During the past 15 years, CG manufacturers have
assisted retailers with the creation of assortments
and planograms as an extension of the retailer's team,
either through category captaincy or through close
working relationships. In doing so, leading CG
manufacturers have taken on analytical work that
leverages their extensive consumer insights and data.
However, these methods, which are used to influence
the presence and positioning of CG manufacturers'
products, will be replaced by impartial business rules
that are driven by pre-defined commercial objectives
that my no longer favor specific brands. For example,
one week's worth of stock on the shelf may no longer
deliver the facings that leading brands have become
accustomed to securing on the planogram. This
"fairer" approach will lead to a reduced
need for space planning and analytics resources in the
CG manufacturers' retail account teams.
- CG companies should assess the potential impact
of retailers' adoption of store-specific
assortments and planograms on their own business
(that is, reduced facings, reduced on-shelf
inventory and reduced/delayed orders).
- CG company account teams must understand the
capabilities of this new breed of retailer
solution and identify strategies to counter the
threat.
- Businesses should work with key retail accounts
to demonstrate their value and to maintain
involvement in setting templates and business
rules for the ideal planogram layouts, and
contributing to the business rules that will drive
the process.
"Retail Assortment Planning Technology Enters
a New Generation"
Analysis By: Peter Bambridge

In response to your requests, this year we are
taking a look back at a few key predictions from
previous years. We have intentionally selected
predictions from opposite ends of the scale — one
where we were wholly or largely on target — as well
as one we missed. The on-target prediction continues
to be true as both Oracle Siebel and CAS distance
themselves from other field sales suite vendors such
as SAP. In particular, their new predictive analytics
capabilities are a differentiator. The statement about
best-of-breed vendors staying relevant in retail
execution and category management also continues to be
true. We ascribe this to that fact that all the point
solutions selling these capabilities account for about
$30 million in revenue. Therefore, the suite vendors
haven't seen this as an attractive enough market as
compared with larger and more-urgent requirements in
spaces such as customer planning.
Relative to the missed prediction, the momentum
just wasn't what we thought it would be. Logisticians
were required to focus on traceability in response to
market events instead of honing and optimizing their
supply chain networks.

3.1 On Target: 2005 Prediction
CAS and Siebel Systems will represent
best-of-breed across the five key (field) selling
processes with some point solutions in retail
execution and category management.
In July 2005, we predicted that these two vendors
(with Siebel Systems now acquired by Oracle) would be
the only two that could provide field sales automation
suites of best-of-breed tools for category management,
customer planning, volume planning, retail execution
and monitoring, and settlement. This essentially meant
that functional SAP would not achieve best-of-breed
status and that a new vendor would not emerge with
capabilities across the five key selling processes.
We also predicted that point solutions with
best-of-breed functionality would continue to dominate
the retail execution/monitoring and category
management spaces, because the suite vendors could
close the gaps in these areas. We still believe the
July 2005 prediction holds true.
SAP continues to lag CAS and Oracle by two or three
years, but both of these vendors have not been able to
or have not chosen to close the gaps in retail and
category management. Therefore, users should continue
to weigh the functionality options from both suite and
best-of-breed vendors for retail and category
management. The suites offer a largely integrated
solution while the best-of-breed have some functional
advantages.

3.2 Missed: 2006 Prediction
By 2008, enabling technology will allow CG
companies to increase the frequency of re-evaluating
their supply chain network strategies by a factor of
five.
We predicted in November 2006 that the combination
of contract manufacturing, shorter product life
cycles, and availability of network optimization
analysis capabilities would dive this acceleration in
network strategy analysis. The reality is that, while
the tools have become more widespread, there have been
two offsetting pressures: the economy and elements of
track-and-trace functionality.
Because the economy has been strong in most ways
outside of the housing sector in the U.S. market,
there has not been as much pressure to optimize
networks. Products have flowed off the shelves, and
there has not been a need to quickly adapt to market
swings, because the economy has been in a mode of
steady improvement without much volatility.
The other factor has been the number of product
recalls, particularly related to products from China.
Instead of creating more optimized facilities,
manufacturers have scrambled to execute product
recalls and to put infrastructure in place to better
monitor product origins and deliver better-quality
products.
The liability associated with dangerous products
has superseded the need for more dynamic production.
In fact, dynamic production and sourcing are actually
viewed with some suspicion until better visibility and
control are in place.
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