Returns have become one of the most operationally demanding parts of running a delivery operation, and most of the cost is not in the transportation. It is in what happens when the driver pulls up and the warehouse has no idea what is coming.
According to the National Retail Federation, consumers returned nearly $850 billion in merchandise in 2025, representing close to 17 percent of total sales. Returns processing volumes have increased 95 percent since 2019, according to GoRamp's 2026 warehouse management analysis. The volume is no longer the surprise. What continues to create operational strain is the absence of information ahead of the driver's arrival, leaving warehouse teams to plan labor, dock space, and processing workflows based on guesswork rather than data.
"The challenge isn't just that returns are growing," says Tarek Souheil, Co-Founder and CEO of Cigo. "It's that the warehouse is always the last to know. By the time a driver arrives, you've already missed your window to prepare."
Why Warehouse Teams Are Always Reacting Instead of Preparing
The standard returns workflow puts warehouse operations in a permanently reactive position. A driver completes a route, picks up returns along the way, and arrives back at the facility. The receiving team finds out what they are dealing with when the truck backs into the dock, not before.
That information gap creates cascading problems. Labor is either over-allocated for a light return load or scrambling to keep up with a heavy one. Processing areas are not staged in advance. The dock schedule is adjusted on short notice. Inspection, sorting, and restocking tasks that could have been sequenced in advance get compressed into a reactive scramble. As PCS Software noted in their analysis of real-time transportation visibility, when warehouse teams lack consistent inbound tracking, labor is either underutilized or overwhelmed, and internal teams are forced to chase updates instead of focusing on execution.
For operations handling high volumes of bulky returns, furniture, appliances, or medical equipment, the cost of that unpreparedness is amplified. Statista data indicates processing a return can cost up to 66 percent of the item's original price. When the receiving process is also disorganized, that cost climbs further.
How Real-Time Driver Visibility Changes the Equation for Receiving Teams
The operational shift that forward-looking warehouses are making is straightforward in concept: know what is coming and when, before it arrives. The challenge has been connecting the delivery execution layer to the warehouse planning layer in a way that is accurate and automatic rather than dependent on driver phone calls or manual check-ins.
Cigo's real-time fleet tracking gives warehouse teams live visibility into driver location and route progress throughout the day. As a driver completes their deliveries and begins the return leg, the warehouse can see exactly where they are, how far out they are, and generate an accurate arrival estimate rather than working from a scheduled time that may no longer reflect reality. That window, whether it is 45 minutes or two hours, is when preparation happens. Dock space gets assigned. The right labor is staged. Return processing areas are organized around what is actually inbound, not a best guess.
Knowing What Is on the Truck Before It Arrives
Arrival time is only half of the preparation problem. The other half is item-level visibility, knowing exactly what is being returned before the driver reaches the facility.
Because Cigo captures item-level data throughout the delivery process, including proof of delivery, stop records, and delivery status for each item on a route, warehouse teams have access to a clear picture of what did not get delivered and what is being brought back. That manifest-level information surfaces before the driver returns, giving receiving teams the context they need to pre-assign inventory locations, prepare inspection workflows for specific item types, flag items that require priority restocking, and allocate the appropriate labor for the return load coming in.
This is where the upstream and downstream halves of the delivery operation connect. The same platform managing outbound route execution becomes the source of truth for inbound return preparation, eliminating the data handoff gap that currently forces warehouses to operate blind.
The Downstream Impact on Return Processing Speed and Labor Efficiency
The compounding effect of advance visibility across both arrival time and item content is a measurable improvement in how quickly returns move from the dock back into usable inventory. Tasks that were previously sequential, driver arrives, team assesses the load, work is assigned, preparation begins, become parallel. Assessment and preparation happen before the driver parks.
For operations where labor represents 50 to 70 percent of warehouse operating costs, as cited across multiple warehouse management analyses, eliminating unplanned reactive work at the receiving dock and replacing it with structured, data-driven preparation produces direct labor efficiency gains. The dock runs tighter. Dwell time drops. Returns that can be restocked quickly are identified and processed without delay.
In an environment where return volumes continue to climb and operational margins remain under pressure, the organizations gaining ground are the ones treating the return leg of every route as a planned workflow rather than an unscheduled interruption.
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