Why Bad Inventory Strategy Ruins High-Value ASRS Investments
Many businesses invest in Automated Storage and Retrieval Systems (ASRS) and/or Order Storage and Retrieval (OSR) technology under a simple assumption: automation solves throughput issues. However, automation is not a magic wand for inefficient inventory management, it actually magnifies it. When high-value, high-density automated systems are choked with the wrong stock, operations don’t just slow down, throughput plummets.
When a warehouse is running at peak capacity, the pressure on the ground is immense. Goods-in arrives thick and fast, inventory mounts back from the decant stations to the loading bay doors, and more trailers are already on their way. In a fast-paced environment like this, operational teams have to make rapid, pragmatic decisions just to keep the floor moving. Often, cages get diverted to manual storage simply to free up immediate space and keep goods-in flowing.
However, when an ASRS system is involved, these urgent, real-time adjustments can inadvertently create a secondary bottleneck: over-filling premium automated space with the wrong mix of stock.
Because picking from an automated system is typically the most cost-effective option on paper, the natural instinct is to route as much volume into the ASRS as possible. But when high-density automation runs at its absolute limit, the operational friction ripples downstream.
Here is how we helped a client to use data to balance their inventory, automation, and protect their next-day delivery promises.
An ASRS Pushed to Its Limits
Our client’s ASRS was running at absolute capacity, over-filling the system was causing severe operational drag and mounting delays.
When the inbound queue forces semi-random decisions about what goes into the automation versus what gets pushed to manual pick zones, three major hidden costs emerge:
- The Consolidation Burden: If an order contains a mix of items housed within the ASRS and others diverted to manual zones, you incur the time and cost required to consolidate these items before despatching, or incur the cost of shipping multiple parcels on a single order.
- The Footprint Friction: Without a predictable strategy for overflow, varying tote sizes and excess stock spill into manual areas in a way that is difficult for operations to plan for, eating up valuable floor space without a clear logistical framework.
- The Movement Costs: Shunting cages back-and-forth between automated and manual pick when inevitably some items moved to manual pick are later deemed to be in the wrong place.
The core challenge is a lack of visibility. In the heat of the daily rush, teams need a clear, data-driven rulebook to decide exactly which categories of stock should bypass the ASRS queue entirely to protect both warehouse throughput and the bottom line.
The business needed to find the tipping point: When does the saving on automated pick cost you more in order consolidation and wasted footprint?
Balancing High-Volume Inbound with Premium ASRS Space
To support the operations team and bring predictability to the inbound rush, we built a model designed to act as a series of strategic levers. Instead of reacting to a backed-up decant queue, the business could use inbound data and historical order patterns to establish a proactive routing strategy.
The model evaluates the critical financial and physical trade-offs of diverting specific stock categories to manual picking. By inputting various stock profiles, product dimensions, and order affinities, the model could project which product categories were best suited for manual zones to minimise total fulfilment costs (balancing the cost of split-parcel shipping against the cost of internal order consolidation). As well as the floor space required in the manual overflow area to handle these designated categories.
This transforms the goods-in process from a high-pressure triage exercise into a controlled, strategic routing operation.
Protecting Throughput and Delivery Promises
By replacing semi-random queue clearing with a targeted category strategy, the business gave its operations team the tools to manage high-volume inbound systematically.
The strategy delivered three key operational wins:
- Relieved Decant Pressure: Goods-in teams have clear, immediate rules on what to divert, allowing the decant queue to move faster and keeping the loading bay clear.
- Restored ASRS Efficiency: Removing the wrong stock profiles gave the automation the physical “breathing room” it needed to run at its peak engineered speed.
- Optimised Total Cost to Serve: The business achieved the ideal balance between warehousing costs and shipping efficiency, ensuring they could reliably protect their next-day delivery promises.
An ASRS is a high-yield asset, but its capacity is finite and therefore requires proactive boundary lines. True supply chain efficiency is about using data to ensure your most expensive storage real estate is reserved exclusively for the inventory that drives the highest margin and efficiency.
Looking to unlock the true ROI of your warehouse automation? Contact us to see how we can turn your operational data into actionable clarity.
About the author
Ashleigh’s work focuses on the performance of data analysis and production of statistical models to derive insights.
Ash has worked with start-ups, defence contractors, retailers and the NHS to derive value from data and solve big problems.