9. Why do we optimize product lines?10
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Planned abandonment means rejecting the continued
use of tactics, strategies, or techniques that brought
your company success in the past and, instead,
continually establishing new means by which your
company can attain success since, as is often the
case, these "tried and true" methods of success are
no longer useful
10. Reality check
Who is opposed to removing
obsolete products?
Is elimination loosing products a
positive thing?
Should our sales force sell
declining products?
Who handles EOL in our
organization?
Do we take orders for
discontinued products?
Who is against product
rationalization?
How much of a career builder is
this?
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« Today we’ll look at rationalizing our
product line. Any ideas on how to proceed? »
11. P.M. focus by industry
New products
Mature
Declining & EOL
New products
Mature
Declining & EOL
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High-tech industry Traditional industry
12. How P.M. impacts the organization
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13
The optimal
number of SKUs
is based on the;
Business
plan
Customer
needs
Company
ability to
supply
Contribution
from each
SKU
13. Indications of a problem
Product proliferation
Don’t know which ones are
financially and strategically
contributing…
… which can provide more
and…
…which are a drain on your
business
You want to reduce your
inventories but maintain
customer service
You need cash to invest in other
areas
Old inventory in the warehouse
Using an average costing
method
-500
0
500
1000
1500
2000
2500
3000
Product A Product B Product C Product D
Product performance $
Sales $ Gross Margin $ Operating income $
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14. The hidden costs of a SKU
Inventory warehousing
Yearly cost of $1 inventory?
S.G. & A.
Manufacturing Set-up
Logistics
Customer service
COGS
61%
Selling
15%
Marketing
5%
Warehousing
and handling
5%
Administrative
5%
Operating
income
9%
SKU Cost elements
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15. The cost of not acting
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Today’s operating income
16
Operating income per SKU
The future
Operating income per SKU
17. Levels of analysis
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Financial
Sales
Margins
ROI
Strategic
Fit
Product positioning
Product phase
Operational
Cost to serve
Inventory turns
Set-up cost
Ease of replacement
Quality of analysis
Financial data
Strategic data
Operational
data
18. The Four Step Process
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• Conserve
• Improve
• Remove
• Market side
• Supply side
• Financial
analysis
• Strategic fit
• Risk / rewards
• Sales data
• Strategic data
• Operations data
Step 1
Gather
appropriate
data
Step 2
PAO BI tool
Step 3
Determine
action plan
Step 4
Execution
1 2
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19. From subjectivity to usable data
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Decision ProductName
Product
number
Inventory value on
hand US$
Units on hand Sales US$ Margins US$
Main supplier
name
Remove AA A 500 20 1000 200
Remove BB B 1500 100 10000 4000
Improve CC C 600 50 2000 200
Conserve DD D 3700 750 5000 1750
Remove HH H 28000 2500 75000 32250
Improve FF I 500 200 5000 3100
Conserve JJ J 2000 80 7500 2025
Remove KK K 200 10 500 70
Improve EE E 750 300 6700 2211
Improve FF F 1000 100 2600 624
Remove GG G 1200 15 24000 5040
Products Financials Strategic Operations
A 0 % 0 % 0 %
B 86 % 30 % 30 %
C 11 % 60 % 60 %
D 76 % 100 % 100 %
E 86 % 27 % 33 %
F 30 % 56 % 51 %
G 55 % 54 % 72 %
H 100 % 41 % 18 %
I 76 % 49 % 63 %
J 60 % 47 % 67 %
K 0 % 56 % 42 %
20. Organizational Challenges
Products are like best friends
and family pets
Sales usually wants to have all
the products available
Trade offs: Top line vs bottom
line impact
Designed to be sustainable
The process reduces emotional
decisions
Customers need to be kept
informed
All departments are involved
Top management has to support
the process
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21. Speaker Bio
J.F. Ouellette, CPM
President & Founder
QUAD Product Optimization, Inc.
• Over 25 years in various functions within industry.
• Roles encompassed strategic and tactical business
development, NPD, needs analysis, product
management and marketing with manufacturers
Ansell; Kappler; E.I. DuPont; North Safety, and
Honeywell International.
• Holds a degree in Commerce from Concordia
University and is an alumnus of the McGill
University Executive Institute, both in Montréal.
• Certified Product Manager (CPM) and SixSigma
green belt.