The Many Hands Problem

REWISE |  INSIGHT PAPER

Why returns are harder than they look — and what to do about it

Think about what happens the moment a customer decides to return a product.

They initiate the return — perhaps through a portal, perhaps by calling your team. A logistics provider collects it, or they drop it to a carrier. The item travels. Somewhere, someone decides whether it's resaleable, needs refurbishment, should go to a liquidation partner, a recycler, a charity. Meanwhile, a customer service team is fielding status questions. Finance is tracking the credit. A sustainability report is waiting to be updated. And somewhere in the background, a manager is trying to pull all of this into a spreadsheet to see what's actually going on.

Every one of those steps is a handoff. And every handoff is a decision point where value can be created — or quietly destroyed.

The Boundary Problem

Most business processes stay within a single organisation, or at least within tightly controlled relationships. Returns don't. They cross boundaries — from customers to logistics providers, to repairers, refurbishers, resellers, donation partners, and recyclers. And that's before you consider what happens inside your own business, where a single return might touch your ecommerce team, your logistics function, your customer service team, and even marketing.

Each of these parties has their own systems, their own priorities, and their own definition of what a successful outcome looks like. A logistics provider optimises for collection efficiency. A refurbisher optimises for throughput. A reseller optimises for margin. None of them are optimising for the whole.

The result is a process that looks — from the outside — like a coherent operation but is in practice a series of loosely connected handoffs, each with their own blind spots. Costs accumulate silently. Delays compound. Items sit in limbo while decisions wait to be made. And the data that would help you understand any of this? Scattered across systems that don't speak to each other.

Framing the Problem Differently

The breakthrough in thinking about returns — the same one we arrived at through working closely with retailers — is to stop treating this as a logistics problem and start treating it as a decision-making problem.

Every stage in the returns journey involves a decision. Some are obvious: which logistics option? Resell or refurbish? Others are subtle: is this customer's return pattern one we should be paying attention to? Is the time it takes to process a return at this stage normal — or is something going wrong?

When you map the entire process as a single system — from the moment a customer initiates a return to the moment that item finds its next home — something becomes clear. The stages themselves are manageable. What creates complexity is the accumulation of small decisions, made in isolation, without visibility of what came before or what comes after.

What if you could see it all in one place? What if every decision point was informed by the same data? And what if the routine decisions — the ones made hundreds of times a day — could simply be made for you?

Where Rewise Starts

Rewise was built on this principle: treat the entire returns process as one system, understand where decisions are made at each stage, and apply intelligence to those decision points.

That intelligence takes two forms. The first is automation — using machine learning models to make routine decisions faster and more consistently than any manual process can. Which logistics route for this return? What's the optimal destination for this item given its condition, value, and the current resale market? These are decisions that happen hundreds of times a day and getting them right at scale requires something beyond human bandwidth.

The second form is augmentation — using data to inform the decisions that genuinely require human judgement. A Rewise dashboard doesn't just show you what's happening; it surfaces what matters. Exceptions that need attention. Patterns that point to upstream problems. Stages where time or cost is running above where it should be.

The goal isn't to replace judgement — it's to make sure judgement is applied where it's actually needed.

Visibility as a Strategic Asset

One of the most consistent frustrations we hear from retailers is not that returns are expensive — they know that. It's that they can't see where the cost is coming from.

Is the problem in the first mile? In the time items sit before assessment? In the decisions being made at the recommerce stage? Or in the reporting that lands on a desk two weeks after the fact, when the moment to act has already passed?

Rewise gives every stage of the process a set of clear, measurable metrics — and surfaces exceptions in real time rather than in retrospect. When something deviates from what's expected, the right person sees it immediately, with enough context to act. This is the difference between managing a process and understanding one.

That visibility also enables something that most businesses currently find difficult: meaningful measurement of sustainability outcomes. When you can see where every item goes — and when that data is reliable and auditable — you can report on it with confidence. Returns and sustainability are not separate problems. They're the same problem, viewed from different angles.

The Assets in the Field Problem — A Case in Point

The boundary problem becomes especially acute — and especially costly — when the assets in question are high-value.

Consider a business that leases equipment to customers: specialist technology, medical devices, industrial machinery, or fleet assets. When a lease ends, or a device is upgraded, the asset needs to come back. It needs to be collected, assessed, cleaned or refurbished, and either returned to inventory for the next customer or prepared for resale.

In practice, how long does this take? The honest answer, in most businesses operating without an integrated process, is somewhere between four and sixteen weeks. Not because each individual step is slow — but because of what happens between the steps.

The asset sits at a collection point waiting for a pickup to be scheduled. It arrives at an assessment facility and joins a queue. The assessment result needs to be communicated to someone who decides what happens next — but they're waiting on a report. The refurbishment partner has their own intake process. Finance is waiting on a condition report before processing the lease close-out. And nobody has a complete view of where the asset actually is.

Four to sixteen weeks. And during every one of those weeks, the asset is depreciating. Storage costs are accumulating. The revenue it could be generating in its next deployment is being deferred. And if it's being double-handled — moved from a collection point to a staging facility before it reaches the right destination — those logistics costs are adding up quietly in the background.

The question worth asking is not 'how do we speed up each step?' — it's 'why does so much time disappear between them?'

The answer, consistently, is the same as it is for consumer returns: handoffs without visibility, decisions without data, and parties optimising for their own step rather than the whole.

Rewise approaches this differently. By treating the field-to-inventory journey as a single managed process — with clear ownership, automated routing decisions, and real-time visibility at every stage — the businesses we work with are bringing that timeline down to seven days.

Seven days from the moment the asset leaves the field to the moment it's back in inventory or listed for resale. The depreciation clock is shortened. Storage costs that previously ran for weeks are eliminated. Double-handling is removed because the routing decision is made correctly the first time, informed by condition data and market availability rather than habit or guesswork.

The financial impact of that compression is significant — and unlike many operational improvements, it's straightforward to calculate. If you know the daily depreciation on an asset class, the weekly storage cost, and the revenue value of a day's additional availability, the difference between a sixteen-week process and a seven-day one tells its own story.

 To put your own numbers to it, we've built an estimator specifically for leased and high-value asset recovery. It takes about two minutes and gives you a working view of the cost of your current process — and what a more structured approach could mean for your bottom line.

Asset Recovery Cost Estimator

For businesses managing leased or high-value assets in the field — understand the cost of your current recovery timeline and the impact of compressing it.

→  Try the Asset Recovery Estimator at rewise.app

What Good Looks Like

When the entire process is visible and measured, the questions that were previously unanswerable become routine.

Where is cost being added unnecessarily? Usually it's in delays, in double-handling, in items that sit at one stage of the process while a decision waits to be made. When you can see dwell time at each stage, you can address it.

Where is value being lost? An item — or an asset — that takes weeks to reach its next home has lost value it will never recover. A return that ends up in landfill because the routing decision was made without good data carries both a financial and environmental cost.

Where are the opportunities? Not every insight from a returns process is about cutting cost. Returns data is extraordinarily rich. It tells you which products are being returned and why, which assets are consistently in better or worse condition, and which customers or markets behave in ways that warrant a different approach. Used well, it feeds back into the decisions made at the very start of the journey — reducing unnecessary returns before they happen.

Returns will not get simpler. The volume will grow, the expectations of customers will rise, and the obligations around sustainability will tighten. Businesses that treat this as a process to be endured will find themselves managing an ever-increasing cost. Those that treat it as a system to be understood — and optimised — will find something different: a function that pays for itself, and then some.

That is what Rewise is built to deliver.

If your primary challenge is consumer or B2B returns rather than field assets, the same principle applies. Our returns cost estimator helps you build a picture of where costs are accumulating across logistics, team time, and reporting — using your own numbers.

Returns Cost Estimator

For retailers and businesses managing product returns — understand the cost of your current process across logistics, employee time, and reporting.

→  Try the Returns Cost Estimator at rewise.app

Rewise is a post-purchase intelligence platform that helps businesses manage, measure and optimise the full returns and asset recovery lifecycle — from customer initiation to final disposition.