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.
Point it at an ERP export, WMS tables, flat files or a manual upload — the Data Engine validates, versions and manages everything the platform runs on. One integration effort, however messy the source landscape.
Knowledge Graph
Consolidates, cleanses and classifies data into one unified source — the ontology every AI agent reasons over.
Feeds are consolidated, cleansed and classified into one ontology: items, locations, orders, resources and the relationships between them. It is the single trusted picture every agent and engine reasons over.
Mapping & Routing
Builds the physical space model that powers 3D visualisation and warehouse navigation.
Builds the physical model — racking, aisles, tunnels, access points — from your location data, powering 3D visualisation and true travel distances for every optimisation above it.
Analytics & BI
Turns raw events into insight — dashboards, process mining and predictive analytics.
Every scan, pick and putaway becomes queryable history: dashboards for the daily stand-up, process mining for the flows nobody documented, predictive analytics for what is coming — and the measured baseline every improvement above it is judged against.
Optimisation engines
Prescriptive AI for the NP-hard problems: slotting, batching, scheduling and automation decisions.
Slotting, batching, scheduling and automation sizing have more combinations than any rulebook can cover. The engines search the full solution space against your real constraints and hand back each plan with its predicted gain measured in the twin.
Simulation & Audit
Predictive what-ifs before you commit; continuous compliance audit after.
What-if simulation proves plans against your history before you commit; continuous audit polices the result after. Together they close the loop: nothing ships unproven, nothing drifts unnoticed.
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.
A location-level placement plan: which SKUs consolidate, which spread, what re-slots for density and travel. Each move carries its predicted saving, so the plan is a ranked list, not a leap of faith.
Picking & batching
Routes and waves that cut travel, tested on your real orders.
Pick routes and wave compositions tested against your actual order history — travel per pick list measured in the twin before a picker walks it.
Labour & scheduling
FTEs, shifts and dock doors matched to the demand that's actually coming.
FTE counts, shift patterns and dock-door schedules matched to forecast demand — the plan for next week generated before this week ends.
Automation
What goes into AutoStore vs regular racking, and how to load-balance pick towers and goods-to-person.
What belongs in AutoStore versus racking, and how to load-balance pick towers and goods-to-person — sized on simulated throughput against your own volumes, not the vendor's reference site.
Forecasting
Tomorrow's orders, workload and capacity — generated ahead of time from demand.
Tomorrow's orders, workload and capacity generated from demand signals — so every other decision starts from what is coming, not what already happened.
Compliance & alerts
HAZMAT / COMAH storage rules audited continuously, with real-time alerts when reality drifts.
Storage rules — HAZMAT, COMAH, segregation — audited continuously against the live twin, with an alert the moment a putaway breaks them. Findings surface in minutes, not at the annual inspection.
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.
Frequently asked questions
The whole loop, from the data your warehouse already produces to the decisions your WMS executes.
How does WareBee work, step by step?
In three steps that repeat. Connect your data from any source, build a digital twin of both the space and the processes, then optimise, decide and execute. AI engines and agents find inefficiencies, everything is tested in the twin, your team approves, and the changes flow back to your WMS — then the loop runs again on fresh data.
What engines run under the hood?
The Data Engine ingests from any source through the Universal WMS API; a Knowledge Graph cleanses and unifies it; Mapping and Routing builds the physical model; Analytics and BI turn events into insight; the optimisation engines solve the NP-hard problems; and Simulation and Audit handle what-ifs and continuous compliance.
What kinds of decisions does WareBee hand back?
Slotting and consolidation, picking and batching, labour and scheduling, automation choices, forecasting, and compliance and alerts. Every recommendation arrives with its simulated evidence, ready for your team to approve and your WMS to run.
Can WareBee help decide on automation before I buy it?
Yes — automation is the biggest capital decision a warehouse makes, so WareBee simulates it first: which SKUs earn a slot in AutoStore versus regular racking, and how to load-balance pick towers and goods-to-person. You see the throughput, cost and labour impact in the twin before committing a penny.
What data do I need to connect, and is it an IT project?
Any source works: WMS, ERP, scans, forklift telemetry, sensors or a simple CSV. The Universal WMS API and Data Engine ingest it and a knowledge graph unifies it into one trusted picture. No IT project and no rip-and-replace — if your systems can get data out, WareBee can use it.
Does WareBee work across more than one site?
Yes. Multi-site dashboards roll every warehouse into one view and compare sites on the same KPIs, side by side, so you see which lead and which lag. A configurable Alert Engine watches the whole estate and notifies the right people the moment a site drifts on compliance, productivity or cost.