A logistics business case from the Italian food industry

Business case snapshot

Industry Food production & national distribution
Company type Medium-sized food manufacturer
Country Italy
Capabilities used Warehouse process design, rule-based logistics structuring, business process analysis
Key KPIs impacted Space utilization ↑ · Internal movements ↓ · Throughput ↑
 

Impact at a glance (KPIs)

The intervention focused on restoring flow, predictability, and usable capacity inside the warehouse - without physical expansion.
Benchmark-based comparisons from food manufacturing and FMCG logistics environments highlight the structural impact of rule-based warehouse design.

KPI Worst-case (unstructured) Best-case (rule-based) Impact
Effective space utilization (ESU) 55–65% 85–92% +25–35 pp
Non-value-added internal movements (NVIM) 35–45% of total movements 10–15% −60–70%
Order lines processed per hour (OLPH) Baseline (100%) 120–150% +20–50%

What this means

  • Higher ESU reflects recovered capacity through structure, not expansion.

  • Lower NVIM indicates reduced housekeeping and reshuffling, freeing labor for value-adding activities.

  • Improved OLPH confirms smoother flow from inbound organization to outbound fulfillment.

Together, these KPIs demonstrate how treating the warehouse as a logistics hub feeding outgoing channels - rather than a storage container -delivers measurable operational leverage under growth pressure.

About the client

The client is a medium-sized Italian food company supplying retailers and distribution partners across the entire national market.
Its operations span production, packaging, and outbound logistics, with a warehouse acting as the central node between inbound goods and multiple outgoing channels.

The company had been growing steadily, but its logistics operations were beginning to show visible strain - particularly inside the warehouse, where daily work was becoming increasingly inefficient despite sufficient physical space. To preserve anonymity, the company name and internal figures are intentionally omitted.


The problem

When warehouse operations start to feel congested, the diagnosis is often immediate and misleading: “We need more space.”

This company reached exactly that conclusion. Pallets were accumulating, aisles felt narrower every week, and staff were spending more time moving items than shipping them. On paper, the warehouse still had available square meters. In practice, usable space was continuously shrinking.

The underlying symptoms were not caused by lack of capacity, but by lack of structure. Goods were placed wherever room was available, reshuffling became a daily routine, and searching for products increasingly interrupted operational flow. As volume increased, disorder amplified itself.

Expanding the warehouse would have increased fixed costs while preserving the same operational habits - delaying, but not solving, the problem. The real issue was not how much space the company had, but how that space was being used.


The solution

From storage space to logistics hub

The intervention did not start with layout changes or new infrastructure. It started with a conceptual shift.

A warehouse is not meant to store things: it should be designed as a hub that organizes incoming goods in order to feed outgoing channels efficiently.

Once this principle was established, the solution followed a clear, structured path.


Step 1: Defining explicit storage rules

The first action was to introduce clear and shared storage rules. These rules defined where specific goods belonged, which items required proximity, how different rotation speeds should be handled, and which combinations were operationally incompatible.

This immediately eliminated random placement. Decisions that had previously relied on personal judgment or momentary convenience were replaced by a common logic applied consistently across the warehouse.


Step 2: Structuring the warehouse into logical zones

With rules in place, the warehouse was reorganized into functional zones aligned with operational flow rather than physical convenience. Zones reflected item characteristics, handling frequency, and outbound priorities.

This reduced cognitive load on staff. Placement decisions became obvious, deviations became visible, and operational consistency improved without adding complexity. The warehouse began to guide behavior instead of depending on individual experience.


Step 3: Making rules visible and shared

Rules only work if they are applied uniformly. Storage logic was therefore made explicit through simple visual elements: clear labels, visible signage, and shared operational references.

This reduced dependency on tacit knowledge. New or temporary staff could operate effectively without continuous supervision, and experienced staff no longer needed to compensate for systemic ambiguity.


Step 4 – Adjusting layout to support the rules

Only after the rules were stabilized did physical adjustments make sense. Small layout changes were introduced to reduce unnecessary movement, improve access to high-rotation items, and prevent congestion at critical points.

The key principle was inversion: the layout followed the rules, not the other way around.


The result

The impact was immediate and measurable: space utilization improved significantly, not because more space was added, but because existing space became usable again. Internal movements related to housekeeping and reshuffling dropped sharply, freeing time and energy for value-adding activities. Throughput increased as picking and storage flows became smoother and more predictable.

Importantly, these gains were achieved without warehouse expansion, new systems, or additional headcount. The warehouse stopped behaving like a static container and started functioning as an operational engine.


The hidden benefit: predictability

Beyond efficiency, the most valuable outcome was predictability. Once storage rules stabilized, inventory management became easier, planning improved, and operational stress decreased. Exceptions became visible instead of being absorbed silently by the system. Improvisation was replaced by coherence.

In logistics, disorder scales faster than order. Clear rules create coherence, and coherence creates efficiency - especially under growth pressure.

This case demonstrates that structure beats space when designing scalable warehouse operations.