making demand driven retail a reality · to out of stocks total $93 billion, according to the 2008...
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One Network Enterprises | www.onenetwork.com
WhitE papEr Making DeManD Driven retail a reality
Making Demand Driven retail a reality
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the retail industry today
It is a universally accepted fact that customer satisfaction is
the corner stone for success. In the retail industry, customer
satisfaction translates to customers being able to find the
desired product on the shelf when they want and at the
right price. At One Network, we understand that though this
sounds straight forward, it has been a major challenge for
the retailers and suppliers alike. Retail supply chains today
operate in dynamic environments in which conditions change,
often on a daily or even hourly basis, and require continuous
collaboration and execution adjustments across the business
network. Product lifecycles are becoming shorter, the network
of trading partners is in constant motion and yesterday’s best
practices will offer no competitive differentiation tomorrow.
One Network is the only solution that recognizes that a
supply chain is in fact a network and should be treated as
one. It offers an integrated Demand Driven Replenishment,
Distribution, Manufacturing and Transportation solution that
spans across customers, suppliers, carriers, and the different
internal departments and manages all functions from the origin
of supply to the point of consumption. Since it is built on state
of the art technology, the implementation can be deployed
one service at a time with sophisticated integration to legacy
applications, while providing visibility between the processes.
This is in contrast to the number of disparate processes today
such as store operations, procurement, logistics and vendor
processes that are disconnected, and incomplete.
Recent research done by Wharton’s Fishman-Davidson Center
for Service and Operations Management found that,
“Nearly 30% of the time, the computer said there
was a positive inventory but somehow the retail
store couldn’t find that inventory.”
This indicates there clearly is a retail store operations problem,
either because of the inaccuracy in the inventory management
processes or systems, or because there is misplaced
inventory. Moreover, the research reports,
“If stock outs of preferred brands occur two or three
times in a row, U.S. shoppers are more inclined than
their European counterparts to switch stores”.
Unfortunately, in such situations the stores often assume
everything is fine while they are in fact losing customers and
enormous amounts of revenue. Sales lost to competitors due
to out of stocks total $93 billion, according to the 2008 store
systems study produced by Retail Information System News
(RIS) and research partner IHL Group.
A joint study by Grocery Manufacturers Association (GMA),
Food Marketing Institute (FMI) and Comite International
d’Entreprises a Succursales (commonly known as International
Committee of Food Retail Chains or CIES) revealed that the
world wide out of stock levels average 8%, causing 4% loss
of sales for a typical retailer. These numbers translate to a $32
Million loss for every $1 Billion in sales.
Sales lost to competitors due to out of stocks total $93 billion,
according to the 2008 store systems study produced by Retail
Information System News (RIS) and research partner IHL Group.
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The out of stock problem is even more pronounced in the case
of retail promotions. The study revealed the out of stock levels
for promoted items average 16%, establishing the fact that
the situation is even more critical for retail promotions. If the
demand for promotions is not forecasted accurately and there
is insufficient time to reorder the product, then the item is out
of stock for the rest of the promotion. This is particularly true
for weekly promotions.
Retailers have traditionally tried to solve this problem by
buffering against the variability in demand. However, instead
of reducing the out of stocks, this approach only resulted in
increasing the inventory and operational costs. The experts
at Wharton reason “The conventional wisdom that more
inventory leads to less stock outs does not hold true. Rather,
inventory appears to reach a critical mass; when there is
too much inventory and too large a “back room,” stock outs
actually begin to escalate because employees literally can’t
find products or often misplace the products they need to
restock the shelves.”
The conventional wisdom that more inventory leads to less stock outs
does not hold true. Rather, inventory appears to reach a critical mass;
when there is too much inventory and too large a “back room,” stock
outs actually begin to escalate because employees literally can’t find
products or often misplace the products they need to restock the
shelves.”
Wharton’s FishMan-DaviDson Center
One Network collaboratively worked with a large U.S
grocery chain and one of their suppliers to increase on-shelf
availability while reducing store and DC inventory. As a result
One Network gained significant insight into the retailer’s
and supplier’s pain points and the reasons for their inability
to solve out of stock problems. It was discovered that the
supply chain problems do not begin and end at the store. In
fact, one of the major problems is the lack of transparency
between the different tiers of the supply chain – stores, retail
distribution centers (retail DCs), and suppliers. Today, the retail
DCs that supply the stores are blind to actual product sales,
and hence will not be prepared when a large order is received
from the store. Furthermore, we noticed orders generated
from the store to the retail DC are one time orders, and do not
provide visibility into future demand. In the same way, the
supplier cannot anticipate changes that need to be made to its
manufacturing and deployment cycles in response to changes
in demand from the retailer.
“
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Why traditional systems are unable to solve retailer’s problems
From our investigation, we found that the retailer had deployed
“best in class” point solutions utilizing intelligent algorithms.
However, the retailer was still facing the above-mentioned
problems because the solutions were not looking at the
holistic problem and addressing the root causes (see Figure
1: supply chain challenges with traditional systems).
To begin with, the systems operated in silos providing no
visibility between the various internal planning and execution
systems or those of the supplier. There were several systems
generating different forecasts at different levels. A retail
DC level forecast was generated to predict the number of
products that each retail DC should carry, and a category level
forecast was generated to predict financial plan and Open-to-
Buys. These forecasts never matched as they were generated
by different systems, were disconnected, and were expressed
in mutually exclusive units of measure. The supplier created
yet another forecast during the Sales and Operations Planning
(S&OP) process, ignoring the retailer’s forecast and product
consumption, but focused on the supplier’s financial targets,
current contracts, and promotion plans, thereby increasing the
inefficiencies and inconsistencies between the systems.
Figure 1: supply chain challenges with traditional systems
Bull Whip Effect of Demand, Supply and Lead Time Variability.
Traditional Supply Chain Solutions Inadequate. Enterprises compensate for data latencies and demand supply variabilities by increasing inventories and using complex models which further exacerbate the problem.
3
2
Silo-ed Enterprises with Disparate Systems1
Supplier / Co-Manufacturer Manufacturer / Service Provider Distributor / Retailer
Supply Chain Challenges with Traditional Systems
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The biggest problem was that the most important forecast
– the store forecast – was not generated by most retailers, and
when it was generated it was not visible outside the four walls
of the store. Additionally, the store forecast was only used to
calculate the immediate next order, and did not provide further
visibility into the demand.
Andre Martin, the seminal author of DRP, in his latest book,
Flowcasting the Retail Supply Chain, (Factory 2 Shelf, 2006)
states,
“You only need one unique sales forecast to drive
a retail supply chain. The retail store is both the
beginning and the end of retail supply chains…. If
you forecast at the retail store, the need to forecast
anywhere else in the supply chain completely
vanishes.”
A store level forecast predicts exactly what the retail shelf will
sell, when it will sell, and how much it will sell.
To accurately predict demand, sales at the retail shelf should
drive the forecast and the future replenishment needs of
the store. What the store needs should drive what the retail
DC needs to ship to the store and what the retail DC needs
to order from the supplier. This should continue until the
entire supply chain demand is calculated based on the store
demand.
Sadly, with the current disparate systems, the retail DC has its
own independent prediction of what it needs to provide to the
stores. The supplier DC has its own independent prediction
of what it needs to provide to the retail DC and so on, making
each independent forecast increasingly inaccurate.
One of the most important data points needed to calculate
the demand at each tier is the “time-phased projected order
quantity”, i.e., the future order quantities calculated for an
extended time horizon. While the store forecast predicts
the consumer demand, the order quantity translates this
consumer demand into demand at each upstream tier by
using balance on-hands, on-order quantities and actual point
of sale movement, to avoid out of stocks at the shelf. It is
imperative that these order quantities are calculated for an
extended time horizon, enabling the retailer and/or supplier to
order and/or produce the accurate amounts of goods for the
future orders. Unfortunately, the retailer’s prevailing ordering
systems are single point ordering systems generating one and
only one order - the immediate next order. This explains one
of the reasons why these systems are not able to ensure the
product availability at the retail shelf.
You only need one unique sales forecast to drive a retail supply chain.
The retail store is both the beginning and the end of retail supply
chains…. If you forecast at the retail store, the need to forecast
anywhere else in the supply chain completely vanishes.”
anDre Martin, FloWCasting the retail supply Chain
“
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During the project, it was discovered that not only did the
retailer’s current systems not address the existing gaps in the
processes, they also did not provide any visibility between
the individual processes – store-operations, procurement,
replenishment/distribution, and vendor processes. Without
the visibility into the retail store data such as daily balance on-
hands and store forecast, the incumbent upstream processes
can neither detect changes in the demand patterns, nor
respond quickly to these changes. Moreover, the retailer did
not have any visibility into the supply availability from
the supplier.
Recently, with the surge of repository solutions, the retail
industry saw an increase in so-called “collaboration” and
“demand visibility” solutions. These solutions require that
separate integration be developed to share the information
between the retailers and suppliers, resulting in additional
development time and cost overhead. Such integration also
increases the latency between demand changes and when the
changes become visible to the supplier.
Category Forecasting System
Forward Warehouse Inventory Management System
VMI System
Deployment Planning SystemInbound Replenishment System
Master Product Scheduling System
Category Forecasting System
Promotion Planning System
ProcurementSystem
DC Inventory Management System
VMI Collaboration System
Logistics System
Analytics System
DC Forecasting System
Store Operations(POS)
Store Ordering System
Store Inventory Management System
Back Room Operations System
LEGEND
EDI and Other Integration Systems
Private Label Manufacturing
Supplier Forward Warehouse
Retailer’s Disparate Systems
CORPORATE DC STORE
Figure 2: silo-ed traditional systems – cause for lack of real time visibility & communication
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The cost to the supply chain as a result of the inefficiencies
and inconsistencies of the existing systems infrastructure is
amplified when you consider the overhead costs of operating
and maintaining several disparate systems. The retailer
and the supplier taking part in the project had 10 different
systems – 4 forecasting systems, 1 procurement system, 1
store ordering system, 1 analytics system, 1 VMI system, 1
replenishment planning system and 1 deployment planning
system -to solve this quintessential problem of retail shelf
availability and its causes.
These systems were not seamlessly integrated with each
other, and there were significant latencies associated with the
information flow between them. The physical time lag is the
time associated with picking, packing, transportation, and
receiving and hence cannot be avoided. But, the information
latency associated with converting consumer demand to an
order, an order to a shipment and the supplier response time
to fulfill the demand can be substantially cut down by using a
single system that can address all the existing problems.
Moreover, the repository systems available in the market
provide visibility to problems through historical analysis,
but do not help the retailer to proactively solve the problem
through projected planning, real-time sensing of changes in
execution, or rapid response through interactive re-planning.
For example, if there is an un-forecasted increase in the
demand and the product is stocked out, these systems will
make the historical stock outs visible to the supplier but they
will neither calculate future (or projected) stock outs nor will
they predict the effect and create, prioritize, execute an order
to satisfy the projected increase in the demand.
Repository systems available in the market provide visibility to problems
through historical analysis, but do not help the retailer to proactively
solve the problem through projected planning, real-time sensing of
changes in execution, or rapid response through interactive re-planning.
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how one network can help
In 2002, a group of seasoned supply chain practitioners,
retail and logistics pioneers, and computer scientists came
together to create a collaborative end-to-end solution suite
from the ground up. This was unlike any of the prior band-
aid solutions that failed to produce meaningful results.
The One Network Platform provides an integrated suite of
network services for demand planning/forecasting, advanced
replenishment, demand driven procurement and/or VMI
systems, appointment scheduling, and integrated logistics
planning and execution. At One Network, we understand that
each retailer is unique in how they manage their businesses,
work with their partners, use their current systems, and would
architect their future solutions. To cater to these different
requirements of the retailers and to reduce their total cost of
ownership, One Network uses Software as a Service (SaaS)
architecture (see Figure 3: one network solution). With this
architecture, each solution is offered as a service that can be
availed independently or in conjunction with other services.
Furthermore, supply chains gain an almost immediate time-
to-value from shorter development cycles, a benefit of the
solutions being available as services. The One Network
Platform incorporates the ability to seamlessly integrate with,
supplement, and add value to legacy applications. In our
collaboration project with the retailer and the supplier, we
were able to integrate with the existing forecast, VMI, and
procurement systems and augment them with our OneNetTM
and Collaborative Replenishment services in an almost
negligible implementation time of 6 weeks. One Network
represents an efficient and collaborative solution integrating
the retailer and supplier on one network.
Supplier / Co-Manufacturer
Enterprise
ExtendedEnterprise
Multi-EnterpriseMulti-Party
1. Multi-Party and Multi-Enterprise Network Services
1. Extent Current Enterprise Infrastructure
2. Create new or truly end-to-end processes (BPM - business process management)
SaaSPaaS
2. Service Orientation
Massive Scalability and Elasticity
LEGEND
SaaS - Software as a Service
PaaS - Platform as a Service
The One Network Solution
Figure 3: one network solution
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One Network’s solution generates a single store forecast. The
demand at each upstream tier in the supply chain (called time-
phased order forecast) is calculated from the demand and
inventory at the tier beneath it. Order forecasts are converted
into cost efficient shipments, i.e., rail, ocean, or truck loads
based on the destinations and delivery times. These data
measures are not “estimated” but are actual execution values.
Unlike most existing systems, there is no guessing or
heuristics. Except for the store forecast, which is statistically
and collaboratively derived (see Figure 4: Forecast at the
item-store level), every data measure is precisely calculated
using actual data from the execution transactions, and takes
into consideration the supply, capacity, policies, and time
constraints. The store forecast generated using standard
statistical algorithms is continuously amended as the actual
point of sale data determines changes in demand trends.
This approach significantly improves the forecast accuracy,
store orders, and visibility to demand variability throughout
the supply chain, consequently reducing the number of out of
stocks. Moreover, these sales forecasts and order forecasts
are calculated for 52 weeks, providing visibility into the future
demand and enabling the reduction in safety stock inventories.
The out of stock and inventory accuracy problems are further
addressed by One Network’s exception processing. Advanced
analytics continuously and interactively create alerts providing
visibility into forecast errors, current and projected out of
stocks, and inaccurate inventory measurements (see Figure 5:
DC and store out of stocks). The projected out of stock alert
lists the out of stocks that will occur in the future. The solution
precisely answers the questions – which items at which
stores/DCs will stock out and when, what revenue will be lost,
and what actions need to be executed to avoid the stock out.
With mutual visibility, and access to this information and the
processes and transactions, the retailers and the suppliers can
act to avoid the projected out of stocks and lost sales. The
exception processing incorporates workflows to resolve the
corresponding exception.
Figure 4: Forecast at the item-store level
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For example, One Network addresses the inaccuracy of the
inventory management systems using alerts and workflows.
The inventory accuracy alert is triggered when there is
demand and inventory for an item but no sales. The alert
and the corresponding workflow are immediately sent to
the appropriate parties at both the retailer and supplier to
investigate potential root causes, correct the problem, and
report the cause for future evaluation. Using the corrected
inventory values the One Network system re-plans the supply
network and potentially generates and executes the required
new orders ensuring product availability at each level of the
supply network.
One Network has also pioneered solutions for scarce supply
allocation and promotion execution. We apply the agile
manufacturing concept of “postponement” in a retail scenario
to look at the last minute demand at each store and optimally
allocate the available product. This ability to prioritize, promise
or cancel orders based on the latest demand and supply
view is especially beneficial in the case of scarce supply,
promotions, new product introductions, and extremely
volatile items. Mike Griswold and Lora Cecere from AMR
reveal that “18% to 24% of promoted items are unavailable
to consumers”. One Network further solves this promotion
predicament with “Continuous Demand Management”. We
make use of classifying events to determine what constitutes
a demand change, continuously identify these changes,
and automatically react to each instance. These classifying
events differentiate noise from a legitimate change in the
demand (due to promotions, new product introductions, etc.)
and hence ensure the accuracy of promotion forecast and
execution.
Figure 5: DC and store out of stocks
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The characteristic that makes One Network’s solution suite
superior to the traditional systems is that all the above-
mentioned functionalities are tightly integrated. As shown in
Figure 6, with One Network, the retailer and the supplier get a
holistic view of the entire supply chain. Each retail process has
immediate access to all the data inherent in the supply chain,
such as store forecast, point of sale, and balance on-hand.
How does One Network achieve this? We call our secret
recipe - “Platform”. Platform is the underlying architecture
on which One Network solutions are built. As Andre Martin
points out, “one of the fundamental requirements is to be able
to model the retail supply chain from the store-shelf to the
factory.” We embed each of the supply chain data models in
the platform, making them accessible to the different network
services residing on top of it. Since all One Network solutions
are built on the same platform, there is no time or information
lost through extracting, transforming, and loading the data
from one disparate application to another. The solutions
extend from store operations to production planning, and
replenishment to transportation, making One Network the only
solution suite that integrates planning with execution.
One Network uniquely enables each of these services to be
deployed independently and in a very short implementation
cycle. If a retailer and a supplier are interested only in the
historical and future visibility across the supply chain, they can
deploy the OneNet service only. OneNet provides retail data
such as store balance on hand, point of sale, store forecast,
policy information to the suppliers while providing the supply
availability information to the retailers. It also comprises
“discovery services” which detect missing information or
optimize policy information such as safety stocks, and reorder
quantities. However, OneNet can work in concert with the
Collaborative Replenishment service and other services to
deliver additional value.
Figure 6: the retail supply chain view
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The capabilities of a truly collaborative network and the
potential results demonstrated during the project were exciting
to both the retailer and supplier (See Figure 7: Benefits
of repository solutions compared with one network).
Working together as a team, the retailer, supplier, and One
Network transformed the way supply chains collaborate
defining common processes, policies, performance
measurements, and user interfaces. For the first time the two
trading partners had access to the same set of data, alerts,
analytics, transactions, planning tools, and user interfaces to
optimize the responses to changes in demand or supply.
Furthermore, because the system is designed collaboratively
they shared a common perspective on the priority of the
issues, the ability to analyze and determine the root cause,
and take the corrective and/or preventive action. Most
importantly, this system not only provides visibility into the
issues but empowers the supplier and retailer to solve these
issues efficiently, effectively, rapidly, and profitably.
20
40
60
80
100
BE
NE
FIT
Repository Solutions
Visibility into historyVisibility into history and future
Visibility and replenishment from factory to store
Visibility and comprehensive supply chain activities
OneNet OneNet + Collaborative Replenishment (CR)
OneNet + CR + Manufacturing + Trans.
SOLUTIONS
Benefits of One Network vs. Repository Systems
Figure 7: Benefits of repository solutions compared with one network
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summary
The experts at Wharton observe,
“In any industry, there is a company that is the best.
But, in retailing, there is no clear company to follow.
There is no Toyota in retailing.”
The success of any retailer or supplier hinges on addressing
the problem of shelf out of stocks and related causes
– forecast inaccuracy, transactional data inaccuracy, and
the poor visibility of transactional data across the different
processes and tiers. One Network has the best capabilities
to solve these issues and improve the customer satisfaction
while reducing the inventory and operational costs. With our
accurate single store forecast and calculated time-phased
projected orders, and a comprehensive platform incorporating
planning, exception processing, and execution,
One Network will be instrumental in creating the next
Toyota of retailing.
Our retail out-of-the-box solution includes the following
network services:
• Demand Planning and Store Forecasting
• Forecast Dis-aggregation
• Demand Driven Replenishment
• Last Minute Allocation
• Dynamic Order & Shipment Prioritization
• Continuous Demand Management
• Appointment Scheduling
• Demand Driven Transportation
• OneNetTM
• Collaborative Replenishment
• Demand Sensing and Translation
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Corporate headquarters us
One Network Enterprises
4055 Valley View Ln
Dallas, TX 75244
Tel: +1 972.385.8630
Email: [email protected]
Web: www.onenetwork.com
international headquarters
One Network Enterprises (Europe)
Mayfair House
14-18 Heddon Street
Mayfair
London, W1B 4DA
United Kingdom
Tel: +44 (0) 203.355.1646
Email: [email protected]
Web: www.onenetwork.com
To understand the One Network Platform and obtain detailed information on
each of the network services and our retail supply network solution, please
contact us at:
Email: [email protected]: 1-866-302-1935 (us) 972-385-8630 (international)