Merlyn Consult · Case Study
The right distribution model is rarely about transport alone. It is about service levels, stock positioning, handover control, delivery frequency, route economics and the visibility to steer all of it. A modern TMS helps companies decide when direct network distribution works best, when hub-and-spoke creates advantage, and where the break-even point really sits.
Companies often discuss direct distribution and hub-and-spoke as if they are purely transport choices. In reality they shape inventory placement, delivery reliability, dock pressure, order cut-off times and total cost-to-serve. The real value of a TMS is that it connects planning assumptions to execution reality.
Operating model · customer promise · cost-to-serve
Should products move directly from source to customer locations, or should flows be consolidated through hubs and regional platforms? The answer depends on lane density, order frequency, geographic spread, service commitments and the maturity of transport planning and control.
A modern transport management system is not only a planning tool. It provides rule-based routing, lane logic, appointment scheduling, carrier selection, exception monitoring and performance data across the network. That turns network design from theory into an executable operating model.
Both models can work well. The key is knowing what you are optimising for: responsiveness, transport efficiency, inventory leverage, lower handling complexity or a more controlled regional last mile.
Direct flow vs consolidated flow
Products move directly from source or a central node to customer locations or regional destinations with minimal intermediate handling.
Flows are consolidated through a central or regional hub, then redistributed to final destinations in more structured outbound waves.
The model itself is only one layer. The real performance difference often comes from how planning, consolidation, execution and exception handling are orchestrated.
From inbound logic to final delivery
Understand order frequency, lane density, regional spread, service windows and the degree of volatility in the network.
Decide whether the network needs direct execution, consolidation through hubs, or a hybrid model with both.
Use TMS rules, appointments, load building and carrier allocation to run the chosen model consistently.
Track service performance, transport spend, handling effort and exception frequency to refine the model over time.
Technology matters most where complexity grows: multi-leg journeys, consolidation, timing dependencies and multiple parties across the network.
Visibility · orchestration · continuous improvement
Turn strategic network choices into planning rules: direct, via hub, milk-run, pool distribution or hybrid combinations.
Coordinate cut-off times, wave planning, dock slots and appointment commitments across origin, hub and destination.
Group orders in a way that improves fill rate while preserving service performance and manageable handling effort.
Support better decisions on carrier allocation, route alternatives, LTL vs FTL and service-level trade-offs.
Identify missed handovers, dwell time, queue build-up at hubs and late arrival risks before customers feel the impact.
Measure transport cost, stop density, OTIF, touchpoints and regional profitability to improve the network model.
There is no universal winner. The best design depends on your product, geography, service promise and planning maturity.
A practical decision matrix
| Decision area | Network distribution | Hub-and-spoke | What to watch |
|---|---|---|---|
| Transport cost | Can be efficient on stable full-load lanes with fewer handovers. | Can lower cost per stop when many smaller drops are consolidated. | Look beyond freight rate alone; include handling, waiting and failed service. |
| Service responsiveness | Direct flow may reduce elapsed time if origin-to-destination is straightforward. | Regional hubs can improve delivery consistency and later order cut-off options. | Assess OTIF, route predictability and customer promise by region. |
| Inventory implications | Often simpler if stock remains more centralised. | May support strategic regional stocking depending on the network model. | Inventory and transport should be designed together, not in separate silos. |
| Operational complexity | Fewer handovers, but harder to scale if destination patterns become highly fragmented. | More nodes and timing dependencies, but potentially more control over downstream execution. | Complexity is acceptable only when supported by process discipline and system visibility. |
| TMS requirement | Planning and carrier management remain important. | TMS maturity becomes critical for multi-leg orchestration and exception handling. | The more structured the network, the more important data quality and event visibility become. |
In practice, many companies land on a hybrid solution. Some lanes remain direct, while others move through hubs to improve load quality or regional service.
A practical lens for decision-makers
Direct network distribution tends to make sense when flows are repetitive and destination density is manageable.
Hub-and-spoke works well when consolidation improves route economics and regional execution discipline.
Often the best answer is not either-or. Use direct flows for dense lanes and hubs where consolidation truly adds value.
Merlyn Consult · practical next step
The real challenge is rarely choosing a buzzword. It is understanding which transport model fits your business, your geography and your service promise — then making it operationally workable. That is where a pragmatic combination of supply chain design and software understanding makes the difference.
Merlyn supports organisations that need a more practical view on transport planning, network design and business software choices — especially where operations, logistics and decision-making need to come together.
