Putaway Time is a critical KPI that measures the efficiency of inventory handling processes.
It directly impacts operational efficiency, cash flow, and overall financial health.
Reducing putaway time can lead to faster inventory turnover, improved customer satisfaction, and reduced holding costs.
Companies that excel in this area often see enhanced ROI metrics and better strategic alignment across supply chain operations.
By leveraging data-driven decision-making, organizations can optimize their warehousing practices and track results effectively.
Ultimately, a focus on this KPI can drive significant business outcomes.
Putaway Time appears in two KPI groups, and its home group is Warehousing/Distribution, where it ranks thirteenth of fifty-two members. That puts it just outside the top band of that group, which is led by Inventory Accuracy Rate at first, Order Fill Rate at second, and Perfect Order Rate at third, followed by On-Time Shipments at fourth, Order Cycle Time at fifth, Shipping Accuracy at sixth, Order Picking Accuracy Rate at seventh, and Warehouse Productivity at eighth. As an internal-process metric, Putaway Time is a leading indicator: how fast received stock reaches its slot governs when that stock becomes pickable, so it feeds Order Cycle Time and On-Time Shipments downstream. The tension inside this group is with Inventory Accuracy Rate and Order Picking Accuracy Rate. Racing to cut putaway time invites hurried, loosely confirmed slotting, which corrupts stock records and later surfaces as picking errors, so a falling Putaway Time paired with slipping inventory accuracy is a warning that speed is being bought with placement quality.
Putaway Time also belongs to the Inventory Management KPI group, where it sits lower, thirty-eighth of forty-five members. That group is anchored by Inventory Turnover Rate at first, Stockout Rate at second, Order Accuracy Rate at third, Fill Rate at fourth, Days of Inventory at fifth, Carrying Cost of Inventory at sixth, Inventory Accuracy at seventh, and Excess Inventory Rate at eighth. Here the metric plays a supporting internal role: faster, accurate putaway shortens the gap between receipt and availability, which supports Fill Rate and Stockout Rate by getting stock onto the shelf before demand outruns it. Read across both groups, Putaway Time is the internal-perspective bridge between inbound handling and the accuracy and availability metrics that both groups treat as headline outcomes.
The formula divides total putaway time by total items put away, so the first fork is where the clock starts and stops and what an item is. Customers must decide whether putaway begins at dock arrival, at the end of receiving inspection, or at the first physical move, and whether it ends when the item reaches the slot or when the system confirms the location. They must also settle the counting unit, since items, cartons, and pallets give very different averages from the same shift, and a mix of full-pallet and piece-level putaway will skew a blended figure unless it is separated.
The data lives in the warehouse management system, joined against receiving records and, where used, the labor management or forklift telemetry that timestamps moves. Joining honestly means matching each putaway task to its receipt and its final confirmed location, not just to a start scan, because a task that is started and abandoned will otherwise read as an open or zero-duration event. Segment by storage type, reserve versus forward pick, by product velocity, by whether the work is directed or operator-chosen, and by shift and dock, since cold storage, hazardous handling, and bulk reserve carry structurally different times that a single average hides.
The pitfalls specific to this metric are timestamp gaps, idle-time contamination, and unit blending. When scans are missing or entered in batch at end of shift, durations stretch to include breaks and travel that are not really putaway, so the average inflates without any real slowdown. When paused or queued tasks are not netted out, wait time masquerades as handling time. And when pallet and piece putaway are pooled, the metric drifts with product mix rather than with performance, so hold the unit and the clock boundaries fixed before reading any trend.
Many organizations overlook the importance of accurate data entry, which can lead to inflated putaway times.
Enhancing putaway time requires a multifaceted approach focused on process optimization and technology integration.
We have 2 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | hours | threshold | midsize organizations | 2023-01-30 |
Source: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | hours | threshold | supplier receipts |
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Two tracked sources frame this metric, and they do not frame it the same way. Inside Supply Management (ISM) approaches it as a dock-to-stock cycle-time measure for midsize organizations, treating putaway as one leg of the broader receipt-to-storage clock. WERCWatch defines it around supplier receipts, and its stated method sums the cycle time across all supplier receipts and divides by the number of receipts, which anchors the denominator on receipt events rather than on individual items. That is the central fork customers must resolve before comparing anything: the canonical Putaway Time formula here divides total putaway time by total items put away, an item-level denominator, whereas a receipt-level source averages across shipments regardless of how many items each contained, so a few large receipts can dominate one figure and disappear into another.
The scope forks compound this. Dock-to-stock framing can fold in receiving and inspection dwell that a pure putaway measure excludes, so the two sources may be timing different spans under one label. Before trusting any external figure, customers should verify the denominator, receipts versus items, the boundaries of the clock, whether the source starts at dock arrival or at the moment putaway actually begins and whether it stops at the slot or at system confirmation, and the population, since one source names midsize organizations and the other names supplier receipts, and neither profile need match a given operation. With only two sources and differing definitions, the numbers are not interchangeable, and the methodology behind each is what tells a customer whether a figure means anything for their own network.
In the Warehousing/Distribution group, Putaway Time appears directly in the group's own OKR material under the objective to optimize warehouse throughput by streamlining inbound and outbound processes, where reducing putaway time sits alongside Receiving Efficiency, Outbound Order Processing Time, and Dock-to-Dock Cycle Time as a key result. A team can adopt that objective and set a directional key result to bring putaway time down, framed as an improvement target the team chooses rather than an external figure, so that faster inbound handling flows into quicker outbound throughput. The group's best practice to prioritize reducing Dock-to-Dock Cycle Time so that gains cascade into faster Order Cycle Time reinforces where a shorter putaway time pays off.
In the Inventory Management group, Putaway Time ladders to the objective to streamline warehouse operations to reduce cycle times and improve throughput, which carries inbound speed key results such as Time to Receive and Dock to Stock Time. Putaway Time is the natural companion key result there, capturing the receipt-to-slot leg those objectives depend on, and the group's guidance to coordinate improvements in Receiving Efficiency and Dock to Stock Time so inventory is available sooner is exactly the outcome a directional putaway goal serves. In both groups, keep the key result directional and pair it with an accuracy metric so speed does not undercut placement quality.
This KPI is associated with the following categories and industries in our KPI database:
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Several factors can affect putaway time, including warehouse layout, staff training, and technology usage. Inefficient processes or outdated systems can significantly prolong the time it takes to store inventory.
Technology such as warehouse management systems and automated solutions can streamline inventory processes. These tools enhance tracking, reduce manual errors, and ultimately speed up the putaway process.
Generally, an acceptable putaway time is under 24 hours for most industries. However, specific benchmarks may vary depending on the complexity of operations and inventory types.
Regular reviews of putaway time should occur at least monthly. Frequent assessments allow organizations to identify trends and implement improvements proactively.
Yes, prolonged putaway times can lead to delays in order fulfillment, negatively impacting customer satisfaction. Efficient inventory management is crucial for meeting customer expectations.
Employee training is vital for ensuring that staff are familiar with best practices and new technologies. Well-trained employees are more likely to execute tasks efficiently, reducing putaway times.
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