Reusable Assets9 min read•7 October 2026
Reducing Returnable Asset Loss
A practical guide to protecting availability, strengthening custody and reducing avoidable replacement spend across reusable asset networks.
By Gys Mans
A practical guide to protecting availability, strengthening custody and reducing avoidable replacement spend.
Loss is rarely a single event. It is usually a control gap.
Assets become difficult to recover when identity, custody, return expectations and exception follow-up are disconnected. The goal is to make those gaps visible early — while recovery is still practical.
| The customer question | What a strong control model helps answer |
|---|---|
| What is missing? | A reconciled asset position identifies unsighted, overdue or unreturned assets by location, partner and asset type. |
| Where did control break down? | Defined handovers and event evidence show the last accountable point and the next recovery action. |
| What is driving cost? | Loss, damage, dwell and imbalance trends link operational behaviour to replacement and service exposure. |
| What should change first? | Prioritised exception queues focus teams on the locations, routes or customers where intervention has the most value. |
Who this guide is for
This guide is for operations leaders, supply-chain teams, finance managers and procurement decision-makers responsible for reusable packaging, pallets, crates, stillages, handling assets or other mobile operational assets.
1. Start with the real causes of loss
Loss is not only physical disappearance. It also includes assets that are present but cannot be found, allocated, returned or used when required. The operational symptoms often appear before the financial impact is recognised.
| Control gap | What it looks like | Why it becomes expensive |
|---|---|---|
| No trusted register | Different counts across sites, spreadsheets or partners. | Planners order, hire or replace assets without a reliable starting position. |
| Weak handovers | Assets move, but no party accepts custody or records the event. | Recovery starts too late and disputes take longer to resolve. |
| Unmanaged dwell | Assets remain at customers, depots or production points beyond expectation. | The pool is unavailable where demand is highest; extra assets enter the system. |
| Poor exception rhythm | Reports show shortages, but no owner or response timeframe exists. | The same issues repeat and become accepted as normal operating cost. |
The most useful shift: from periodic counting to active exception management
A count says what was seen at a point in time. A control model combines asset identity, movement evidence and an agreed response to events that fall outside the operating rules.
A helpful diagnostic: follow the asset journey
Map the journey from issue to return. At every point, ask four questions: who has custody; what proof exists; how long is the asset expected to remain there; and what happens when the expected event does not occur?
2. Build a control loop that teams can operate
The most effective programs make asset control routine — not a special project. Each element below makes the next one stronger.
1. Define the asset and pool rules
Agree on the asset classes, ownership model, status definitions, custody points and serviceable condition standards. Keep the first version simple enough for frontline teams to apply consistently.
2. Establish a clean starting position
Create a baseline register by asset type and location. Reconcile obvious data gaps and make the source of truth clear before measuring improvement.
3. Capture meaningful handovers
Use barcodes, RFID, or other appropriate methods to record issue, receipt, transfer, return, inspection, and quarantine events — where the operational risk justifies capture.
4. Manage exceptions to a service level
Make overdue returns, unconfirmed receipts, damages and unsighted assets visible to named owners with a practical response timeframe.
5. Review, recover and improve
Use a regular control meeting to close material exceptions, address repeat causes and tune the operating rules as the network changes.
Technology supports the process; it does not replace it
Identification and capture improve speed and evidence, but adoption depends on clear responsibilities, practical workflows and management follow-through.
3. Make accountability visible
A loss-reduction program works when teams know the expected action, evidence and escalation point. Accountability should be designed into everyday movement rather than added after an issue has become a dispute.
| Control point | Good operating discipline | Management measure |
|---|---|---|
| Issue / dispatch | Confirm quantity, destination, asset class and accountable receiving point. | Open movements; departure accuracy; delivery confirmation. |
| Receipt / handover | Record receipt, shortfalls, damage and any custody change promptly. | Confirmation timeliness; mismatch rate; unresolved handovers. |
| Dwell / use | Set a normal return expectation by route, customer or process. | Assets beyond expected dwell; ageing by location. |
| Return / reconciliation | Match returns against issued assets and investigate exceptions by value and age. | Return rate; recovery cycle time; repeat exceptions. |
| Condition / quarantine | Separate damaged, repairable and unusable assets from available stock. | Damage incidence; repair turnaround; available-to-total ratio. |
Keep measures balanced
Avoid managing only total loss. A balanced view combines availability, return performance, dwell, damage, stock accuracy and recovery age. That makes it easier to distinguish a genuine shortage from a process, data or behaviour problem.
4. Use data to target the first interventions
Early interventions should be selective. Focus first on the asset types, locations and handovers that combine material value with repeated control failure.
Illustrative pattern anonymised
A multi-site reusable-packaging operation found that the majority of aged exceptions were concentrated in a small number of handover points. By standardising receipt confirmation, assigning local exception owners and reviewing ageing weekly, the team improved recovery discipline before expanding its identification technology.
Questions that create a practical action plan
- Which assets are most often unavailable when required — and is the cause loss, dwell, damage or data quality?
- Which locations or partners repeatedly produce late, incomplete or disputed handovers?
- Where is the financial exposure greatest when assets are not recovered?
- Which events can be captured with minimal disruption to daily operations?
- What is the agreed recovery action for an exception at 7, 14 or 30 days?
A staged approach reduces disruption
Most programs benefit from a contained pilot: validate the asset data, operating rules and reporting cadence in one process or region; resolve practical adoption issues; then expand the approach using proven controls. RFID may be introduced at high-volume thresholds once the underlying process and business case are established.
5. A practical starting point with DRS
DRS can help connect the physical asset, control platform, and operating rhythm into a single managed solution. The right scope depends on the asset types, movement profile, locations, partners and the level of control required.
A focused first conversation
- What assets are in scope, and what would be the operational consequence of not having them available?
- Where are the major custody changes, returns and high-risk dwell points?
- What data exists today, and where is a clean baseline needed?
- Which measures should be reviewed daily, weekly and monthly?
- Which control changes can be piloted quickly without interrupting service?
From insight to a commercial decision
DRS can develop a detailed ROI calculation once an NDA is in place and relevant operational and financial data is shared. The assessment can consider current loss and replacement exposure, utilisation, dwell, data quality, implementation scope and the most suitable identification method.
Important note
Every operation is different. This guide is intended as general information, not a guarantee of operational, financial or technology outcomes. Any solution scope, commercial model and expected benefits should be confirmed through a joint assessment of the customer’s actual operating environment.
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