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Use Cases

Cutting pick-path travel time across a multi-client 3PL floor

Continuous slotting and pick-path optimisation for a warehouse running several clients' SKU catalogues on one floor

Aerial view looking down into a large multi-client warehouse interior with rows of racking
USE CASE / WAREHOUSING
Published product metrics
Picks per hour
+31%
Travel distance
−27%
Order accuracy
99.7%

These figures match the published metrics on the Predictim Warehousing product page — this walkthrough is a composite scenario, not a specific engagement.

The challenge

Continuous slotting and pick-path optimisation for a warehouse running several clients' SKU catalogues on one floor

Segment: Multi-client 3PL warehousing

Warehouse layouts are typically set during onboarding and rarely revisited, even as each client's order mix changes week to week. Pickers walk longer routes than necessary, wave planning is built around a static map rather than actual congestion, and nobody has a clear, quantified view of which station or lane is actually limiting throughput on a given shift.

The approach

How the deployment was structured

Technical diagram of a warehouse floor plan with an optimized pick path highlighted through the racking

Continuous re-slotting, not a one-time layout

SKU placement is re-evaluated continuously against demand, so high-velocity items for any client migrate to the most accessible slots as order mix shifts.

Pick paths against the real graph

Pick paths are calculated against the warehouse's actual aisle-direction conventions, congestion hotspots, and equipment availability — not an idealised floor plan.

Wave and batch picking, sequenced

Wave planning, batch picking, and multi-order picking give pickers sequenced instructions instead of a map to interpret themselves.

Bottleneck diagnostics, not guesswork

When throughput stalls on a shift, operations leads see exactly which station or lane is the binding constraint and what would unblock it.

What changed

Re-slotting continuously instead of once at onboarding is what keeps pick paths short as each client's order mix shifts — the throughput visibility Predictim Warehousing is built to give a multi-client floor.

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