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01
Stock Accuracy & Inventory Control
Accurate stock data is the foundation of an efficient warehouse.
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The problem
• Stock discrepancies
• Incorrect stock locations
• Lost or untraceable stock
• Lack of trust in the system
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What we look at
• Stock records and processes
• Cycle counting approach
• System usage and data integrity
• Root causes of inaccuracies
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What improvement looks like
• Greater confidence in stock data
• Fewer picking errors
• Smoother operations
• Better decision-making
02
Picking Performance & Accuracy
Faster, more accurate picking improves service, reduces costs and increase capacity.
The problem
• Low pick rates
• High error rates
• Excessive travel distances
• Inefficient pick processes
What we look at
• Pick processes and methods
• Location strategy and layout
• Pick-face capacity
• System and data alignment
What improvement looks like
• Higher accuracy
• Increased productivity
• Reduced travel time
• Better use of resources
03
Warehouse KPIs & Performance Visibility
Faster, more accurate picking improves service, reduces costs and increase capacity.
The problem
• Lack of meaningful data
• KPIs not aligned to goals
• Difficulty tracking performance
• Reactive decision-making
What we look at
• Current KPIs and reporting
• Data sources and accuracy
• Performance trends
• What really drives the business
What improvement looks like
• Clear, relevant KPIs
• Better visibility and control
• Data-led decision-making
• A focus on continual improvement
04
Replenishment & Stock Positioning
The problem
Effective replenishment keeps the operation flowing and prevents disruption.
• Frequent stock-outs
• Picking interrupted by           replenishment
• Poor location strategy
• Stock in the wrong place
What we look at
• Replenishment processes
• Trigger points and quantities
• Location suitability
• Alignment with demand
What improvement looks like
• More consistent stock availability
• Less disruption to picking
• Improved space utilisation
• Smoother, more efficient flow
05
SKU Velocity & Slotting
The problem
The right product in the right place reduces the travel, saves time and increases throughput.
• Fast-moving SKUs in poor       locations
• Excessive travel distances
• Inefficient use of space
• Lack of ABC/velocity analysis
What we look at
• SKU data and demand patterns
• Current location strategy
• Space and layout constraints
• Opportunities for re-slotting
What improvement looks like
• Faster picking
• Better use of space
• Reduced travel time
• A layout that supports current demand
06
Inbound &Â Â Â Â Â Â Â Â Dock -to-Stock
A smooth inbound process sets the tone for an efficient warehouse.
• Delays in unloading and      put-away
• Inaccurate receiving
• Bottlenecks at the dock
• Stock not availableÂ
The problem
• Inbound processes and checks
• Receiving accuracy
• Put-away methods and locations
• Alignment with downstream       activity
What we look at
What improvement looks like
• Faster, more accurate receiving
• Smoother flow into stock
• Better resource utilisation
• A strong start to the warehouse process
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