Predictim Warehousing
Predictim Warehousing is an enterprise intra-logistics optimisation platform, available as both a SaaS management dashboard and developer API. Developed on graph-theoretic path optimisation and demand-driven zone allocation research, it continuously computes optimal pick sequences and SKU placements — eliminating manual layout decisions and giving operations managers quantified, actionable visibility into throughput performance.
Illustrative results from representative deployments; not a guarantee of outcome.
What this platform does
Each capability is a deployed module — not a feature on a roadmap. Engagements typically begin with a 4-week scoping exercise to confirm fit against your operational data and constraints.
Travel-time reduction modeling
Pick paths are calculated against the actual warehouse graph, including aisle-direction conventions, congestion hotspots, and equipment availability.
Optimised zoning
SKU placement is re-evaluated continuously against demand patterns — the highest-velocity items naturally migrate to the most accessible slots.
Order picking path automation
Wave planning, batch picking, and multi-order picking are all supported. Pickers receive sequenced instructions, not maps to interpret.
Storage tier orchestration
Mezzanines, automated storage, and floor-level pick faces are coordinated as a single tiered system rather than independent silos.
Operational warehouse bottleneck diagnostics
When throughput stalls, operations leaders see exactly which station, lane, or process is the binding constraint — and what would unblock it.
Related reading
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ExploreReady to deploy Predictim Warehousing?
Request API access, or talk to our engineering team about integrating this into your existing operations.