We embedded in a UK fashion retailer's 3PL-operated fulfilment centre, found the waste, and fixed it. No new warehouse. No new WMS. Just targeted operational changes that compound into serious margin recovery.
Discovery call. You tell us where the warehouse costs are hurting. We find the quick wins — contract renegotiations, scheduling inefficiencies, manual processes that should be automated, vendor spend that hasn't been benchmarked in years. No six-week audit phase. We start delivering results within two weeks.
We make targeted operational changes that compound into serious margin recovery. Not by replacing the warehouse or the WMS, but by fixing what's broken fast — unit economics, 3PL contracts, receiving automation, cross-docking for high-velocity SKUs.
When we did this for a major UK fashion retailer, 14 discrete initiatives delivered £1.02M in annualized savings — without a single capital expenditure. We stay and operate. We still monitor and improve the operation today.
Four initiatives accounted for the majority of the savings. Each one was identified through data, validated against benchmarks, and implemented with our team on the ground.
Sunday volumes were 62% below the weekday average. 78% of Sunday orders wouldn't have shipped until Monday anyway due to carrier cutoff times. We cut one day and absorbed the few time-sensitive orders into Saturday's dispatch window. Eliminated staffing, energy, and 3PL management costs with negligible impact on delivery speed.
We built a complete unit economics model covering every billable activity: pick rates, pack rates, storage per pallet, management overhead, value-added services. Then we benchmarked the lot against competitive quotes from three alternative 3PLs. The renegotiation was driven by data, not vibes. The result was a materially better rate card across the board without switching provider.
We replaced the manual goods-in process with an automated book-in system that matched purchase orders to deliveries on arrival. For fast-moving lines, we introduced cross-docking — product goes direct from the receiving bay to the pack bench without ever touching a storage location. Cut receiving labour, reduced put-away time, and accelerated dispatch for high-velocity SKUs.
Replaced an expensive CVP machine with a high-speed bagging machine delivering 3x the throughput at a fraction of the running cost. Tendered packaging materials across multiple suppliers. Renegotiated carrier platform fees using volume data the business hadn't previously leveraged. Small changes individually; collectively, a significant line-item reduction.
Deploying changes isn't enough — operational drift creeps back in if nobody's watching. We built a live dashboard that tracks units picked per hour, cost per order dispatched, receiving accuracy, dispatch cutoff compliance, carrier collection performance, and returns processing turnaround.
The dashboard doesn't just report — it alerts on anomalies. If cost per pick drifts above the target threshold, if receiving accuracy drops below 99.5%, or if a carrier misses collection windows three days running, our team knows about it before it becomes a P&L problem. This is how you stop operational drift from coming back after the changes are made.
14 initiatives deployed across a 3PL-operated fulfilment centre. No capital expenditure. No new systems. Operational discipline applied to unit economics.
Warehouse optimization is one capability we deployed as part of our ongoing work with a major UK fashion retailer. The fulfilment savings alone would have justified the engagement — but the real power is in how warehouse improvements compound with changes in workforce automation, commercial terms, and technology.
Read the detailed breakdown of this work in our warehouse fulfilment optimization post.
No. Most warehouse inefficiency has nothing to do with the WMS. It comes from operational drift — contracts that haven't been renegotiated, processes that evolved by accident, and equipment that no longer fits the volume profile.
We fix the operations first. If the WMS genuinely needs replacing after that, we'll tell you — but in most cases, the existing system is fine once the processes around it are fixed.
The audit and initiative identification takes 2-4 weeks. Implementation runs 3-6 months depending on complexity — contract renegotiations take longer than process changes.
Some initiatives deliver savings within the first month; others take a full quarter. We phase everything so the business sees value quickly while longer-term changes are still being deployed.
The same approach applies to in-house operations. In fact, in-house warehouses often have more optimization potential because costs are buried across multiple budget lines — labour, facilities, equipment leases, consumables — rather than consolidated in a single 3PL invoice.
We build the same unit economics model regardless of operating model and identify the same types of savings: labour scheduling, process automation, equipment rationalization, and packaging optimization.
Yes, and it should. If you're planning a warehouse move or 3PL transition, optimizing first means you right-size the new operation from day one instead of migrating existing inefficiencies into a new building.
We've seen businesses move to a larger, more expensive warehouse when they actually needed a smaller, better-run one. The optimization audit gives you the data to make that decision properly.
Not because the 3PL is cheating you — because nobody has audited the unit economics since the contract was signed. We'll show you exactly where the margin is leaking and deploy the fixes.