How it works
From your data to decisionsyour WMS executes.
WareBee learns from your historical data, monitors real-time operations and forecasts the future — then turns it all into recommendations your team approves and your WMS runs. Here's the whole loop.
Start a pilot
The loop
Three steps, then it repeats.
Connect your data
Any source: WMS, ERP, scans, forklift telemetry, sensors — or a simple CSV. The Universal WMS API and Data Engine ingest it, and a knowledge graph cleanses and unifies it into one trusted picture. No IT project, no rip and replace.
Build your digital twin
WareBee models the physical space and the processes that run in it — picking, putaway, replenishment — into a simulation-ready copy of your warehouse. This twin is the single source of truth every engine and agent works from.
Optimise, decide, execute
AI engines and agents find inefficiencies, forecast bottlenecks and generate recommendations — all tested in the twin first. Your team approves; the changes flow back to your WMS for execution. Then the loop starts again on fresh data.
Under the hood
The digital twin, and the engines that run on it.
WareBee models both physical space and processes at once. That foundation powers everything above it.
Data Engine
The Universal WMS API ingests from any source — ERP, WMS, API or manual — and manages the platform's data.
Knowledge Graph
Consolidates, cleanses and classifies data into one unified source — the ontology every AI agent reasons over.
Mapping & Routing
Builds the physical space model that powers 3D visualisation and warehouse navigation.
Analytics & BI
Turns raw events into insight — dashboards, process mining and predictive analytics.
Optimisation engines
Prescriptive AI for the NP-hard problems: slotting, batching, scheduling and automation decisions.
Simulation & Audit
Predictive what-ifs before you commit; continuous compliance audit after.
What comes out
The decisions WareBee hands back.
Every recommendation arrives with its simulated evidence, ready for your team to approve and your WMS to run.
Slotting & consolidation
Where every SKU lives — consolidate or spread by item and group, and re-slot for density and travel.
Picking & batching
Routes and waves that cut travel, tested on your real orders.
Labour & scheduling
FTEs, shifts and dock doors matched to the demand that's actually coming.
Automation
What goes into AutoStore vs regular racking, and how to load-balance pick towers and goods-to-person.
Forecasting
Tomorrow's orders, workload and capacity — generated ahead of time from demand.
Compliance & alerts
HAZMAT / COMAH storage rules audited continuously, with real-time alerts when reality drifts.
Decide what to automate — before you buy it
Automation is the biggest capital decision a warehouse makes. WareBee simulates it first: which SKUs earn a slot in AutoStore versus regular racking, and how to load-balance the work across pick towers and goods-to-person stations.
See the throughput, cost and labour impact in the digital twin — so the business case for AutoStore, AMRs or a pick tower is proven in the model, not learned the hard way on the floor.
- AutoStore vs regular racking — decided item by item
- Load-balance pick towers and goods-to-person
- Automation ROI simulated before you commit a penny
One warehouse or a hundred
WareBee scales past a single site. Multi-site dashboards roll every warehouse into one view, and side-by-side comparison shows which sites lead, which lag, and why — the same KPIs, the same standard, across the whole network.
The Alert Engine watches all of it: configure the thresholds that matter and WareBee notifies the right people the moment a site drifts — on compliance, productivity or cost — so problems surface while they're still small.
- Multi-site dashboards across the network
- Compare sites on the same KPIs, side by side
- Configurable Alert Engine for the whole estate
In short
How does WareBee work?
WareBee is a decision-intelligence platform that sits on top of the WMS you already run. It learns from historical data, monitors real-time operations and forecasts the future — turning the data your warehouse already produces into recommendations your team can act on.
The mechanism is a digital twin: a model of both the physical space and the processes, so any change can be simulated before it's made. AI agents and optimisation engines work on that twin to discover inefficiencies, generate plans and police compliance, then send the results back to your WMS for execution.
Nothing about how your team works has to change — WareBee proposes, people approve, the WMS executes. Start with a paid pilot on your own data and see the whole loop run on your warehouse, typically saving 10–15% of operational costs.