By Bijoux Mbayo, Senior Solutions Consultant, eLocker
Every retailer reaches a point where in-store collections and returns stop being a service promise and start becoming a control problem.
It rarely happens overnight. A few more customers choose to click and collect in the store. A few more returns come back through the store. The service desk gets busier. Parcels are held wherever space can be found. Store colleagues create workarounds because that is what good retail teams do: they keep the customer journey moving.
Then the numbers are reviewed.
Finance asks what collections cost this quarter. Operations asks why store teams are spending so much time on handovers. Customer teams ask why a convenience journey is still creating queues, complaints or uncertainty. Senior leaders ask whether stores are supporting profitable omnichannel growth or quietly absorbing hidden costs.
That is usually when the real risk becomes visible.
The risk is not only that an order may go missing or a return may be disputed. The larger risk is that a strategically important customer journey is still being managed through manual effort, partial records and store-level workarounds.
This is where automation can help retailers reduce risk.
Not by treating lockers as storage. Not by removing stores from the customer journey. But by replacing manual, people-dependent handovers with more controlled collections and returns workflows that give retailers better visibility, traceability and accountability whilst improving customer experience.
The direct answer: how can retailers reduce risk in collections and returns?
Retailers can reduce risk in collections and returns by creating a controlled, automated and traceable handover process.
Instead of relying on a colleague to find an order, check details, complete the handover, update records and later recall what happened, retailers can create a clearer chain of custody. Customers can collect orders or deposit returns through a guided self-service workflow. Access can be controlled. Events can be time-stamped. Activity can be visible. Exceptions can be easier to identify.
That reduces five connected risks.
It reduces dispute risk because the retailer has a clearer record of the collection or return event. It reduces fraud and loss risk because activity is more attributable. It reduces operational risk because routine handovers no longer depend so heavily on colleague availability. It reduces financial risk because collection and return activity becomes easier to measure. It reduces customer experience risk because the journey becomes faster, clearer and more consistent.
That is the important distinction. This is not simply a question of installing a click and collect locker system. The stronger opportunity is to create an automated collections and returns ecosystem that helps retailers lower manual handover cost, improve accountability and create a smoother customer journey.
The real risk is ambiguity
When retail leaders think about risk in collections and returns, they often think first about missing orders, returns fraud, disputed handovers or customer complaints.
Those risks are real. But underneath them sits a deeper problem: ambiguity.
If a customer says they collected an order but the store record is unclear, the retailer has ambiguity. If a return is dropped off but not recorded in a way that can be easily traced, the retailer has ambiguity. If colleagues are spending time searching for parcels but that effort is not measured, the retailer has ambiguity. If finance asks what each collection costs and the answer depends on assumptions, the retailer has ambiguity.
Ambiguity is expensive because it forces the business to reconstruct events after the fact.
It pulls colleagues into investigations. It slows customer service resolution. It weakens fraud prevention. It makes cost-to-serve harder to evidence. It creates uncertainty for finance, operations, customer experience and IT.
Automation reduces that ambiguity by making collections and returns traceable by design. Orders and returns move through a controlled workflow. Access is managed. Activity is logged. The retailer gains a clearer record of each handover event.
That does not mean every exception disappears. Retail will always involve exceptions. But it changes the starting point. Instead of asking, “What do we think happened?”, the business can ask, “What does the record show?” and “How can we make tangible improvements?”
“The biggest risk in collections and returns is often not the missing parcel. It is the missing evidence. Once the retailer has a clear record of the handover, disputes become easier to resolve, and the whole process becomes easier to manage.”
Why risk becomes more visible during cost reviews
Collections and returns risk often becomes most visible when finance, operations and customer teams are reviewing performance against plan.
At the start of the financial year, a manual process may look manageable. The budget assumes stores can absorb the activity. The labour model looks workable. The cost of collections and returns is accepted as part of the service promise.
A few months later, the picture can look different.
Finance can see that store labour is under pressure. Operations can see that service desks are becoming bottlenecks. Customer experience teams can see that customers are still waiting, queueing or raising complaints. The champion responsible for the journey has to explain not only what is happening, but what it is costing and what can be done about it.
That is a difficult position when the process is still largely manual.
Manual handovers make it hard to answer the questions that matter most. How many colleague minutes are being absorbed? Which stores are under the most pressure? How many exceptions are being created? How often are customers waiting? How much of the journey is standard, and how much relies on local workaround?
Retail collections and returns automation gives the business a more evidence-led way to answer those questions.
This matters because retail labour is under increasing scrutiny. Rising employment costs mean retailers need to understand where colleague time is being used and whether repetitive manual processes can be reduced. The strongest business case is not built on saying “stores are busy”. It is built on showing where manual effort is being consumed, where risk is appearing and how a more traceable workflow can reduce both.
Why manual collections and returns create risk
Manual retail processes often survive because store colleagues make them survive.
They retrieve parcels, update systems, manage queues, check customer details, accept returns, resolve confusion and keep the customer calm. In many cases, the process works because colleagues are experienced and adaptable.
But that does not mean the process is bullet-proof.
A strong process should not depend on colleagues constantly compensating for weak visibility. It should not require service teams to act as search, verification, customer service and exception-management functions all at once. It should not mean the retailer only understands the true cost of the journey when finance starts asking difficult questions.
The retailer may know how many orders were collected, but not how much store effort was required. It may know how many returns came back, but not how much friction sat inside the journey. It may know customers value convenience, but not whether the experience is consistent enough to protect satisfaction and loyalty.
Automation reduces this risk by moving routine handovers into a more controlled workflow. Store teams still have oversight, but they are no longer required to personally manage every standard collection or return.
The goal is not to take people out of retail. It is to stop using skilled retail colleagues as the control mechanism for a process that should be simpler, faster and easier to evidence.
How retail automation can reduce dispute, fraud and returns risk
Order disputes are one of the clearest risks in click and collect.
A customer says an order was not available. The store believes it was collected. A parcel cannot be found quickly. A customer service team has to investigate. The retailer loses time trying to piece together what happened.
In a manual process, the evidence can be fragmented. One system may show one thing. A colleague may remember another. The physical order may have moved between locations. Even when the retailer acted correctly, uncertainty makes the situation harder and slower to resolve.
Retail automation reduces this risk by creating a clearer chain of events.
A collection is not just a handover at a busy service desk. It becomes a controlled access event. The customer receives the relevant instruction. The item is placed in a secure compartment. The collection is completed through a defined process. The activity is recorded.
That gives store teams and customer service teams better evidence if a query arises. It also reduces the likelihood of disputes emerging from confusion in the first place, because the customer journey is clearer and more predictable.
How automation can reduce hidden labour and cost-to-serve risk
One of the most common weaknesses in manual click and collect is that the cost hides inside normal store labour.
A colleague spends three minutes finding an order. Another spends five minutes resolving a customer query. A return takes longer than expected. A queue forms. A manager steps in. None of those moments may appear significant on its own.
Across an estate, they become a cost structure.
The issue is not whether colleagues are capable of managing the journey. They are. The issue is whether the retailer wants growth in collections and returns to keep creating a near-linear increase in colleague intervention.
That is a risky model. It makes the journey harder to scale. It puts pressure on stores already balancing service, replenishment, selling, returns, promotions and local operational priorities. It also makes the true cost of click and collect harder to defend because the labour is absorbed rather than clearly visible.
Automation reduces this risk by taking avoidable manual intervention out of routine handovers. Customers can complete more of the collection or return journey themselves. Colleagues spend less time searching, checking, retrieving and handing over standard orders. Store teams can focus more attention on exceptions and higher-value customer interactions.
That is why the commercial conversation should not be “lockers versus people”. It should be “manual dependency versus controlled self-service”.
A well-designed self-service journey should support stores, not undermine them. It should reduce the repetitive work that creates pressure, while preserving colleague involvement where it genuinely adds value.
“The risk in manual collections is not just that something goes missing. It is that the business often cannot see how much colleague effort is being used to keep the process working. Once that effort becomes visible, the case for automation becomes much clearer.”
How finance can reduce cost-per-order risk
Finance teams do not usually challenge collections and returns because they dislike the services. They challenge them because the economics are often unclear.
How much does each collection cost? How much colleague time is involved? How many returns require manual handling? Which stores are under the most pressure? What happens during peak? How many disputes or exceptions are created by weak visibility?
If the retailer cannot answer those questions, cost-to-serve remains partly hidden.
Automation helps reduce that risk by making collection and return activity easier to see, measure and compare. Store usage patterns become clearer. Activity levels can be reviewed by location. Exception rates can be identified. A pilot can be measured against operational and financial assumptions.
But the finance case is not only about visibility. It is also about reducing the manual cost attached to each order.
In a manual click and collect process, every order often carries a hidden labour cost: receiving, staging, searching, retrieving, checking, handing over, updating records and managing exceptions. On one order, that may feel small. Across hundreds or thousands of collections, it becomes a repeatable cost line hidden inside store labour.
A more automated model reduces cost-per-order risk by moving more standard handovers into a controlled self-service workflow. Store colleagues still support the process, but they are no longer required to personally manage every routine collection or return. That means less time spent on low-value handovers, fewer avoidable searches, fewer manual checks and less colleague effort tied to standard transactions.
This is where automated collections and returns become a business case issue rather than a hardware conversation.
The stronger case is not simply that lockers make collections faster. It is that retailers can lower the manual handover cost of collections and returns in a way that can be evidenced.
For a related article, link here to reducing cost-to-serve in click and collect.
How automation can enhance customer experience and reduce store operations risk
Click and collect is supposed to be convenient.
That promise weakens when the customer has to queue, wait for a colleague, explain their order, watch someone search for it or experience a different process depending on the store they visit.
Customers do not see those moments as operational issues. They see them as the brand experience.
This is why collections and returns risk cannot be assessed only through labour and loss. It also needs to be assessed through customer effort. If the journey is slow, unclear or inconsistent, the retailer risks turning a convenience service into a frustration point.
Automation reduces negative customer experience risk by making the journey more predictable. Customers receive clear instructions. They can collect or return without waiting for a colleague to become available. The process is easier to understand and easier to repeat.
But the key is design. Automation should not feel like abandonment. A poor self-service journey can simply transfer effort from the retailer to the customer. A strong self-service journey removes effort for both.
The same logic applies to operations.
Retail operations leaders are not asking whether the concept sounds attractive. They are asking whether it will work in real stores, with real colleagues, under real trading conditions.
A collection and returns system has to fit different store formats. It has to work at its peak. It has to reduce pressure rather than move it somewhere else. It has to be simple enough for colleagues to operate and intuitive enough for customers to use.
Automation reduces operational risk by creating a repeatable process that can still be adapted to store reality. The workflow is clearer. The handover is more controlled. The customer journey is more consistent. Store teams have less routine handover work to absorb.
Improving the retail collection experience should therefore be seen as a commercial and operational priority, not a cosmetic one.
How retailers can prove value safely
Retail decisions of this kind are rarely made by one person.
The champion may make the problem visible, but finance, operations, customer experience, IT and procurement all need confidence before a pilot or rollout can progress.
That is why risk reduction is not only about the workflow itself. It is also about the way the project can be proven.
A retail locker pilot should test more than technical functionality. It should test operational fit, colleague impact, customer adoption, exception handling, activity levels and whether the process remains stable when the store is under pressure.
This matters because the champion is not just trying to find a product. They are trying to sponsor a change that is operationally credible, politically survivable and strong enough to build an internal business case.
It also matters for IT. In enterprise retail, IT is often the hidden gatekeeper. Not because technology teams want to slow progress, but because they are responsible for making sure new solutions do not introduce unacceptable security, support or integration risk.
The strongest route is often phased. A retailer can begin with a pilot that proves the operational and commercial case without forcing unnecessary integration complexity on day one. The business can learn how the workflow performs, what data is useful and where deeper system integration would create additional value.
In short: how automation reduces risk
Automation reduces risk in collections and returns by replacing manual, people-dependent handovers with traceable workflows.
It gives retailers clearer records, controlled access, better accountability and greater visibility across store-based collection and return activity.
That means fewer grey areas around disputed collections. Better control over return deposits. Less reliance on colleague memory and manual updates. Lower exposure to hidden labour cost. More consistent customer journeys. Better evidence for finance and operations when the numbers are reviewed.
The larger point is that risk in collections and returns is not only about what might be lost, stolen or disputed. It is about what the business cannot see, cannot prove and cannot scale with confidence.
The role of automation is to bring that risk under control.
Conclusion: visibility is now part of the operating model
Retail collections and returns carry more risk than many businesses realise.
Some of that risk is obvious: missing orders, disputed collections, returns fraud, customer complaints and pressure on store teams. But much of it is hidden inside ambiguity. The business cannot always see what happened, who handled it, how long it took, what it cost or where the process failed.
A more automated model reduces that risk by making the handover visible.
It gives retailers a controlled, automated and traceable way to manage collections and returns. It reduces reliance on manual intervention. It creates clearer accountability. It gives finance better evidence. It supports operations with a more scalable process. It helps customer teams deliver a smoother post-purchase journey.
The point is not simply to install lockers. The point is to remove uncertainty from a journey that has become too important to manage informally.
For retailers reviewing cost, risk and scalability in click and collect or returns, this is the question worth asking: where are we still relying on manual effort, incomplete records and store-level workarounds to protect a strategic customer journey?
If that answer is uncomfortable, it may be time to look at a more traceable model.
If your team are reviewing collection costs, returns risk or store workload, it may be time to assess whether manual handovers are still fit for the volume they now carry. Book a discovery call to explore whether eLocker could help create a more visible, accountable and scalable collections and returns process.
