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Case study · Logistics

Sealy Distribution Case

Logistics and organisational redesign for bedding distribution networks.

Distribution network and org redesign for bedding logistics—route density up, warehouse handoffs down.

DistributionRoutesWarehouse

Case study

Sealy distribution optimisation

Sealy engaged BDN to reduce distribution overheads and clarify project risk metrics across Victorian networks.

-15%Distribution overhead
+18%Warehouse capacity yield
15%Overall cost reduction cited

Warehouse slotting, carrier roster review, and cross-functional reporting lines were redesigned over two quarters.

Distribution cost per unit and warehouse capacity yield were reported fortnightly to operations leadership. Reporting lines between logistics, sales operations, and finance were clarified so warehouse decisions did not wait on commercial sign-off unless margin was affected.

Warehouse layout optimisation
MetricBeforeAfter
Distribution overheadBaseline-15%
Warehouse capacity yieldBaseline+18%
Overall cost reduction15% cited

"BDN optimised our organisational structure and logistics workflows—distribution overheads dropped 15% with clearer project metrics."

S
Sealy Victoria Operations Leadership
Was IT replaced?

No—process and layout changes delivered most savings; WMS tweaks were client-led.

How was savings measured?

Distribution cost per unit and capacity yield tracked fortnightly against baseline.

How long was the engagement?

Two quarters for design and rollout; metrics monitored for a further quarter.

Warehouse and network

Slotting rules, carrier roster review, and cross-functional reporting lines were redesigned over two quarters without replacing the core WMS.

Distribution cost per unit and warehouse capacity yield were reported fortnightly to operations leadership.

Organisational clarity

Reporting lines between logistics, sales operations, and finance were clarified so warehouse decisions did not wait on commercial sign-off unless margin was affected.

Optimise logistics

Describe your network and cost pressure.

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