Implement Flow-Optimized Layout Principles and Set Your Material Handling on Autopilot
62% of Labor Costs Due to Inefficient Travel and Handling (MHI 2023)
Warehouse employees are too often brought to move to places without purpose, and this does a lot of work not to bring value in return. The most recent 2023 MHI report states that about 62% of costs that a company pays its employees is related to all this walking and picking of loads that are not in the employees' areas of responsibility. Employees spend a lot of time walking to places that are dead ends, handling loads that are not their responsibility, and getting trapped in places that are crowdy. All this wasted motion increases operational costs and creates backlogs in order shipments. There is a lot of room for optimization in layout design that deals with all the problems mentioned. Improved operational flow can be achieved by reducing the number of times a product is handled and reducing the distance to be covered in all three critical areas (inbound, storage, outbound) in material handling.
U-, I-, and L-Shape Warehouse Designs: SKU Velocity and Throughput Aligned Layouts
The right shape for a warehouse largely depends on the velocity profile of the products:
U-Shape layouts are suitable for high SKU facilities as they enable a streamlined flow in one direction and allow the placement of receiving and shipping docks next to one another to reduce cross traffic.
I-Shape layouts are ideal for linear bulk operations and the seamless movement of bulk goods from intake to dispatch.
L-Shape layouts allow for construction of separate processing zones and differentiated storage for fast moving and slow moving inventories.
Configuring layouts for the velocity of inventory leads to a decrease in handling time of 30 percent to 40 percent for high-turnover products. Place a “golden zone” at packing stations for top-selling SKUs to increase the velocity of picking cycles. This practice will change material handling from a cost to a competitive advantage.
Maximize Warehouse Space Utilization Through Vertical and Intelligent Storage
The Hidden Gap: 40-50% Floor Space Underutilization Due to Horizontal Bias (Deloitte, 2022)
Deloitte (2022) reports that many warehouses choose to organize items on a horizontal plane, resulting in 40-50% of their usable floor space being wasted. Warehouse managers seem to be in a habit of spreading inventory across the floor, working around vertical space. Deloitte (2022) explains that this flat thinking results in a number of negative outcomes, including increased time to pick an order, increased operational cost of the warehouse, and increased time workers spend in the warehouse moving between inventory. Several warehouse expansions have resulted in an increase in the distance one employee must walk across the warehouse by 27%. Traditional methods of warehouse layout design must be abandoned; space should be utilized vertically, not just the horizontal space. Use the entire vertical space in the warehouse instead of just thinking in square feet, and expand the cubic space utilized to make the warehouse more efficient.
Optimal use of storage space requires customizing solutions to the specific inventory requirements. Vertical carousels and automated storage systems are ideal for quickly turnover lightweight inventory. Also, these systems can reduce storage level footprints by up to 75%. In contrast, for inventory that is infrequently accessed and is heavier, push back racks are ideal as they provide easy access to inventory without sacrificing storage depth. Also, mezzanines can be a good option to create additional storage levels, especially during peak inventory seasons. It is critical to consider the balance between the volume and the weight of the inventory. Small and heavy inventory is best stored in compact automated systems, while large and heavy inventory requires cantilever racks. Also, inventory location is critical. Items that are frequently accessed should be placed closer to the front of the storage area for easy access by employees.
Storage Type Best For Space Savings
Vertical AS/RS Small, high-turn items Up to 90%
Drive-In Racking Bulk pallets (low rotation) 40–60%
Modular Mezzanines Medium-weight seasonal inventory 2–3× floor area
Enable Data-Driven Workflow Planning Across the Warehouse Lifecycle
Because of Demand averaging, there is a 22% Overstaffing in Peaks and 31% Underutilization Off-Peak (Gartner, 2024)
Old school scheduling methods based on average demand create costly staffing issues. During peak times, there is on average 22% too many staff which increases the costs of payroll. Conversely, during drop-offs in demand, there is on average 31% of the required staffing. Gartner published this research in 2024. Most companies are still stuck with static plans that do not account for the dynamic nature of order flows throughout the day. When companies pivoted to order forecasting using real-time data, the paradigm shifted. Predictive modeling based on previous order patterns enables staff requirements to be adjusted dynamically. During slow times, staff hours are not wasted; during high demand times, overtime costs are controlled. Machine learning (ML) optimizes working schedules by incorporating external factors like holidays, weather forecasts, and shipping schedules, continually enhancing the predictive models.
SCOR Framework + Real-Time Traceability Metrics for Zone Cycle Time Optimization and Bottleneck Identification
Integrating an IoT traceability system with the Supply Chain Operations Reference (SCOR) model enables companies to locate the workflow obstacles with increased precision and reliability. The data captured via Real-Time RFID and various sensors pinpoint the exact locations where workflow is impeded within the warehouse such as receiving, storage, order picking, and shipping. Data within the SCOR framework and its three primary measurement dimensions (Reliability, Responsiveness, and Agility) explains the precise location and the cause for the loss of time to a workflow. For example, the strategic placement of fast-moving items close to the packing area, based on optimized patterns of worker mobility, has been shown to reduce travel time by 15% - 20%.
Performance Dimension Traditional Approach Data-Driven Optimization
Zone Cycle Time Manual time studies Continuous sensor tracking
Error Rate Tracking End-of-shift reports Live quality gate alerts
Resource Utilization Static assignments AI-recommended rebalancing
This closed-loop system turns warehouse floor data into actionable workflow adjustments—daily.
Construct Flexible and Scalable Storage Solutions for Future Development
Permanently organized warehouses traditionally require expensive renovations and/or moving in order to expand or change business direction. This leaves us with the option of creating a flexible permanent structure that can be built on and expanded for daily and seasonal growth. Structures that expand vertically rather than horizontally are supplemented with automations that can be changed to rearrange the warehouse as needed. For example, during maintenance, the addition of storage areas and the creation of a second floor can most certainly bolster operational growth. When there is a cloud-based warehouse management system, the order and complexity of growing product lines are no longer a problem as they were with the old system. Also, because these enhancements are implemented as needed, so are the financial expenditures. Logistics specialists, within their field, have documented that adaptable warehouses can increase operational capacity by 30 to 50 percent.
FAQ
What is the main issue with current warehouse layouts?
Workers in a warehouse do a lot of walking in order to receive and account for products that make up 62% of the labor costs associated with that warehouse. This is often remedied by optimizing the flow of goods within the warehouse.
How can warehouse space utilization be improved?
Utilization can be improved by maximizing vertical storage space, using dynamic racking systems, and utilizing additional storage mezzanines to save on floor space and improve access frequency.
What are the benefits of data-driven workflow planning in warehouses?
Data-driven workflow planning streamlines data-driven planning efficiencies and informs better staffing planning decisions when it comes to over and under utilization during peak and off-peak times.
How can flexible infrastructure improve warehouse operations?
With flexible infrastructure, warehouses can accommodate growth and fluctuating demand without expensive renovations, and also make adjustments to capacity and discontinuous flow of products along lines.