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Using automation to efficiently
manage SKU growth within
your existing warehouse
Presented by:
Myles Harmon
Andy Lockhart
Your Logo Goes Here!
What is SKU Proliferation?
SKU proliferation is the process of increasing the number of
SKUs offered as a business learns and understands the wants
and needs of its customers.
Bottom Line: Today, consumers want more variety to choose
from based on seasonality, delivered faster and at the best
possible value.
Causes of SKU Proliferation
• Meet customer demand
• Individual preferences
• Want more variety / choices to select from
• Want to buy everything from single source
• Offer more SKUs to Increase sales
• Offer complimentary SKUs to existing SKUs
• Package sizes
• Travel
• Personal
• Bulk
• Customer service level agreements
• Same day
• Next day
• Two day
Causes of SKU Proliferation
• New product developments
• Offer the latest in technology or fad
• Private labeling
• Same SKU under different brands
• Management of inventory
• Not weeding out the non or slow moving SKUs
• Addressing long-tail of seasonal SKUs
• Mergers / acquisitions
• Adding a new SKU set to an existing SKU set
• Adding new business channels
• Retail, e-com and Omnichannel
SKU Proliferation Impacts
• Pareto’s 80/20 Rule
• 80% of an operation’s revenue is
generated by only 20% of its SKU
inventory base
• The remaining 80% of the inventory is
deemed as medium to slow-moving
SKUs
SKU Proliferation Impacts
• Manual Picking 60/40 Rule
• In a manual warehouse, 60% (or
more) of a picker’s time is spent
walking while only 40% (or less) is
spent picking
• There is no useful business KPI
tracked or revenue generated by steps
taken while picking, every step is a
loss in productivity and to the bottom
line
Effects of SKU Proliferation
• Inefficient picking and storage
• Increased order cycle time
• Longer walk paths = Less productivity
• Picking from an order-picker = Less productivity
• Smaller pick faces = more replenishments or short
picks
• Not having the right SKU in the right place at the right
time
• Honeycombing in storage rack – poor space utilization
Effects of SKU Proliferation
• Decrease in order accuracy
• More SKUs to pick from = more opportunities to
pick the wrong item or count incorrectly
• Increase in re-slotting frequency
• Adds touches to SKUs, which requires more labor
to manage
• Increase in operational costs
• Add labor, add equipment, work overtime, etc.
• Incur on-boarding, training and certifications costs to
hard-to-find labor
Effects of SKU Proliferation
• Increased facility costs
• Space requirements increase = potentially need a
building expansion
• More lighting
• More heating
• Higher utility costs
• Risks of lost capital / business opportunities
• Product sitting on shelves or in racking runs the risk
of never being sold or if perishable, may even spoil
• Inventory is money tied up sitting on pallets and
shelves that could be invested elsewhere in the
business
Case Pick SKU Proliferation Solution
An ideal solution to address SKU proliferation starts at
receiving with two questions
Does your operation
• Receive floor loaded mixed SKU containers and manually
sorts cases to pallets staged on the dock?
• Scan random cases to pallets then move them put into rack
locations only to sort through them when they need to be
picked?
If so, STOP to consider an inbound receiving system to build
pallets and/ or stage cases in an ASRS buffer
SKU proliferation can wreak havoc on this type of inbound
process. More cases, pallets, constraints, sorting and labor!
Case Pick SKU Proliferation Solution
After receiving, an ideal solution should also
consider
• Storing bulk reserve at half and full pallet levels
to
• Maximize storage density
• Reduce honeycombing in pallet rack
• Staging SKUs at the case level in an ASRS to
• Represent several days-on-hand in the system
• Be readily available to fulfill orders
• Always be in the “Golden Zone” – No re-slotting
required!
• Enable automatic picking to increase operational
efficiency
Case Pick SKU Proliferation Solution
• Automating inbound and outbound labeling to increase
operational efficiency while maintaining accuracy
• A solution that is compatible to with the existing
operation. Items to consider include, but not limited to
• Quality of pallets – Avoid hang-ups in the inbound system
• Include a manual de-palletizing station lane for exceptions (ie.
bad pallets, leaning loads, etc.)
• Case sizes – Define what is too small, too large or too odd to
automate (i.e. odd shaped, shrink wrap, tray height, etc.)
• Quality of case corrugate – Must be firm, flat, and consistent
size per SKU with minimal bulging and no protrusions
• Complexity of sequencing requirements erodes system rate
Example: Automatic Case Pick Solution
Automatic De-
palletizers (2)
Ergonomic semi-
automatic De-
palletizers (4)
Staged Inbound
Pallets from
Reserve
Storage
Infeed Pallet
Conveyors (6)
ASRS (Shuttle)
Outbound Label Print
& Apply Lines (5)
Manual De-palletizing
Station
Inbound
Automatic label
Applicators (8)
Empty & Residual
Pallet Conveyors (2)
ASRS Characteristics
• Have the ability to operate in all temperature
zones: ambient, chilled and frozen
• Have the ability tie into existing operations using
a conventional conveyor based case pick-to-belt
systems
• Have the ability to sequence loads to outbound
trailers, semi-automatic and/or automatic
palletizers on the shipping dock
• Are also highly effective technologies for piece
picking solutions in conjunction with goods-to-
person workstations
Questions
For more information:
Myles Harmon
email: myles.harmon@tgw-group.com
website: www.tgw-group.com
Andy Lockhart
email: andy.lockhart@tgw-group.com
website: www.tgw-group.com
Or visit MODEX Booth 7605

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Modex seminar using automation to manage sku growth

  • 1. Using automation to efficiently manage SKU growth within your existing warehouse Presented by: Myles Harmon Andy Lockhart Your Logo Goes Here!
  • 2. What is SKU Proliferation? SKU proliferation is the process of increasing the number of SKUs offered as a business learns and understands the wants and needs of its customers. Bottom Line: Today, consumers want more variety to choose from based on seasonality, delivered faster and at the best possible value.
  • 3. Causes of SKU Proliferation • Meet customer demand • Individual preferences • Want more variety / choices to select from • Want to buy everything from single source • Offer more SKUs to Increase sales • Offer complimentary SKUs to existing SKUs • Package sizes • Travel • Personal • Bulk • Customer service level agreements • Same day • Next day • Two day
  • 4. Causes of SKU Proliferation • New product developments • Offer the latest in technology or fad • Private labeling • Same SKU under different brands • Management of inventory • Not weeding out the non or slow moving SKUs • Addressing long-tail of seasonal SKUs • Mergers / acquisitions • Adding a new SKU set to an existing SKU set • Adding new business channels • Retail, e-com and Omnichannel
  • 5. SKU Proliferation Impacts • Pareto’s 80/20 Rule • 80% of an operation’s revenue is generated by only 20% of its SKU inventory base • The remaining 80% of the inventory is deemed as medium to slow-moving SKUs
  • 6. SKU Proliferation Impacts • Manual Picking 60/40 Rule • In a manual warehouse, 60% (or more) of a picker’s time is spent walking while only 40% (or less) is spent picking • There is no useful business KPI tracked or revenue generated by steps taken while picking, every step is a loss in productivity and to the bottom line
  • 7. Effects of SKU Proliferation • Inefficient picking and storage • Increased order cycle time • Longer walk paths = Less productivity • Picking from an order-picker = Less productivity • Smaller pick faces = more replenishments or short picks • Not having the right SKU in the right place at the right time • Honeycombing in storage rack – poor space utilization
  • 8. Effects of SKU Proliferation • Decrease in order accuracy • More SKUs to pick from = more opportunities to pick the wrong item or count incorrectly • Increase in re-slotting frequency • Adds touches to SKUs, which requires more labor to manage • Increase in operational costs • Add labor, add equipment, work overtime, etc. • Incur on-boarding, training and certifications costs to hard-to-find labor
  • 9. Effects of SKU Proliferation • Increased facility costs • Space requirements increase = potentially need a building expansion • More lighting • More heating • Higher utility costs • Risks of lost capital / business opportunities • Product sitting on shelves or in racking runs the risk of never being sold or if perishable, may even spoil • Inventory is money tied up sitting on pallets and shelves that could be invested elsewhere in the business
  • 10. Case Pick SKU Proliferation Solution An ideal solution to address SKU proliferation starts at receiving with two questions Does your operation • Receive floor loaded mixed SKU containers and manually sorts cases to pallets staged on the dock? • Scan random cases to pallets then move them put into rack locations only to sort through them when they need to be picked? If so, STOP to consider an inbound receiving system to build pallets and/ or stage cases in an ASRS buffer SKU proliferation can wreak havoc on this type of inbound process. More cases, pallets, constraints, sorting and labor!
  • 11. Case Pick SKU Proliferation Solution After receiving, an ideal solution should also consider • Storing bulk reserve at half and full pallet levels to • Maximize storage density • Reduce honeycombing in pallet rack • Staging SKUs at the case level in an ASRS to • Represent several days-on-hand in the system • Be readily available to fulfill orders • Always be in the “Golden Zone” – No re-slotting required! • Enable automatic picking to increase operational efficiency
  • 12. Case Pick SKU Proliferation Solution • Automating inbound and outbound labeling to increase operational efficiency while maintaining accuracy • A solution that is compatible to with the existing operation. Items to consider include, but not limited to • Quality of pallets – Avoid hang-ups in the inbound system • Include a manual de-palletizing station lane for exceptions (ie. bad pallets, leaning loads, etc.) • Case sizes – Define what is too small, too large or too odd to automate (i.e. odd shaped, shrink wrap, tray height, etc.) • Quality of case corrugate – Must be firm, flat, and consistent size per SKU with minimal bulging and no protrusions • Complexity of sequencing requirements erodes system rate
  • 13. Example: Automatic Case Pick Solution Automatic De- palletizers (2) Ergonomic semi- automatic De- palletizers (4) Staged Inbound Pallets from Reserve Storage Infeed Pallet Conveyors (6) ASRS (Shuttle) Outbound Label Print & Apply Lines (5) Manual De-palletizing Station Inbound Automatic label Applicators (8) Empty & Residual Pallet Conveyors (2)
  • 14. ASRS Characteristics • Have the ability to operate in all temperature zones: ambient, chilled and frozen • Have the ability tie into existing operations using a conventional conveyor based case pick-to-belt systems • Have the ability to sequence loads to outbound trailers, semi-automatic and/or automatic palletizers on the shipping dock • Are also highly effective technologies for piece picking solutions in conjunction with goods-to- person workstations
  • 16. For more information: Myles Harmon email: myles.harmon@tgw-group.com website: www.tgw-group.com Andy Lockhart email: andy.lockhart@tgw-group.com website: www.tgw-group.com Or visit MODEX Booth 7605