Warehouse optimisation: slotting from movement joined to WMS tasks.Slotting decisions made without real movement data?
Warehouse optimisation RTLS so moves match the WMS. Location and identity that cut mis-picks, empty travel and the “where did we put it” hour.
Free 30-minute call with an adviser · written proposal with the price after · fixed-scope engagements from £3k.
Warehouse RTLS stalls when it never changes a pick path or a slotting rule.
WMS closed loop
Location that does not update tasking is a spectator sport. Integrate or keep the scope to exception finding only.
ABC vs reality
Slotting models drift. Use dwell and travel evidence to challenge ABC assumptions quarterly.
Peak vs average
Design for peak congestion aisles. Average-day heatmaps hide the hour that kills OTIF.
Warehouse & DC optimisation: how it works, and what it pays back.
The right radio for the job, mapped to your use case.
1 · Track movement
Pickers, trucks and key SKUs are tracked so real travel and congestion are visible.
2 · Find the waste
Heatmaps show jammed aisles, long walks and dead zones: the constraints capping throughput.
3 · Re-slot & re-route
Re-slot fast movers near dispatch, split congested aisles, optimise pick paths.
UWB → precise paths · BLE → zone flow · analytics → re-slotting
Which technology fits.
We work for you, not for the technology providers.
UWB/BLE
Live people & vehicle flow.
Passive RFID
Stock accuracy underneath.
Analytics
Slotting & route insight.
Industries this solution suits
Re-slot on where people actually walk.
A DC tracks pickers and key SKUs. Heatmaps reveal the jammed aisle and the long walks to dispatch. Fast movers are re-slotted and aisles split, lifting picks per hour without adding labour.
Typically bought by: Warehouse operations, slotting / IE teams, continuous improvement.
Relevant case studies
Suppliers we evaluate for this use case
Where this solution wins: examples by sector.
Retail DC peak-season scaling (retail)
Real utilisation data drives layout and process changes.
3PL multi-client throughput (logistics)
Client-by-client throughput visibility supports SLAs.
Pharma and cold-chain DCs (pharma)
Temperature-zone optimisation and throughput.
Aerospace spare-parts DCs (aerospace)
AOG-readiness vs general-MRO inventory zones.
E-commerce fulfilment DCs (logistics)
Peak-season and BOPIS support.
Who needs this kind of programme.
DC and 3PL operations cutting travel, congestion and empty moves with evidence, not gut feel.
Automation leaders deciding whether AMR fleets, slotting or aisle traffic control pays back first.
Continuous-improvement teams who need movement truth underneath WMS labour standards.
What buyers compare in this market.
Three supplier tribes pitch warehouse optimisation: RAIN RFID (Impinj/Zebra) for inventory truth; RTLS/UWB for people and truck paths; AMR brands (Locus, Geek+, Fetch/Zebra, MiR) for robot throughput. Each solves a different constraint. Buying robots because travel time is high, without fixing slotting or congestion, is a common mis-buy; so is dense RFID when the real pain is aisle interference between manned trucks.
Why DC optimisation stalls.
One KPI, wrong lever. Optimising pick rate while dock dwell explodes just moves the bottleneck.
WMS labour standards frozen. Location data that never updates engineered standards becomes wallpaper.
Automation before flow. AMRs inherit a broken layout and amplify it.
Independent. Advisory on robots.
TRACIO advises and integrates. We don't sell hardware, so our advice stays independent. We help you sequence inventory accuracy, traffic/RTLS and automation so capital hits the actual constraint.
Frequently asked questions
Which problems does warehouse/DC RTLS solve first?
The expensive ones: travel and search time, mis-picks, congestion, and inaccurate stock. Real-time location of people, trucks and goods exposes where time and accuracy are lost.
RFID, RTLS or both for a DC?
Usually both, RFID for fast inventory and dock verification, RTLS for live location of forklifts, goods and labour. We scope which combination fits your throughput.
How disruptive is deployment in a live DC?
It is phased zone by zone around operations. A pilot area proves accuracy and value before a full rollout, so you do not gamble on a big-bang.
How does it integrate with our WMS?
Location and event data enrich your WMS via API, directed travel, slotting insight and dock reconciliation, without replacing the system of record.
What is the payback?
Higher picks per hour, fewer errors and damage, better slotting and dock turnaround, and right-sized labour and equipment, typically a strong, measurable ROI.
Last updated: 5 October 2026