The Connected Warehouse
If it scans, drives or senses,WareBee learns from it.
Your warehouse already produces a firehose of data — every scan, every forklift move, every sensor reading. WareBee's Data Engine ingests it all and turns it into a live digital twin, so the signals you're already paying to collect finally pay you back.
Connect your data
One engine, every source
Six ways your warehouse talks. WareBee listens to all of them.
The Universal WMS API and Data Engine ingest from any source — REST, scheduled exports, a plain CSV — and a knowledge graph cleanses, deduplicates and unifies it into a single trusted picture.
Scans
Barcode and wearable scanners — devices like ProGlove — stream a timestamped event for every pick, putaway and move.
Each scan lands on the twin's event timeline the moment it fires, through the same integration regardless of which scanner brand triggered it. Swap a handheld for a wearable mid-rollout and the event stream doesn't notice — one pipe, whatever device is doing the scanning that shift.
Drives
Forklift and MHE telematics: where equipment goes, how far, how long it waits and how hard it works.
Telematics land in the same event model as every scan, so a truck's dwell time outside a dock sits right next to the pick order it was waiting to serve. The travel path nobody logged manually becomes visible without a separate telematics dashboard to cross-reference.
Senses
IoT and environmental sensors — temperature, occupancy, weight, motion — grounding the twin in physical reality.
A sensor reading binds to the exact location or asset it describes — the same record a pick event or a stock count would touch — rather than living in a separate monitoring tool nobody cross-checks against inventory. One place holds what the warehouse says and what the sensors measured at that moment.
Systems
Your WMS and ERP feeds: orders, inventory, item master and locations, through REST, exports or CSV.
Whichever transport your system offers — a live REST call, a nightly export, a CSV drop — the knowledge graph normalises it into the same schema the twin already runs on. Change WMS providers mid-contract and the model underneath doesn't need rebuilding, only the pipe feeding it does.
Photos & documents
AI vision reads data from images and paperwork — capturing what never made it into a system field.
A photo of a torn pallet label or a paper delivery note gets parsed into structured fields and merged into the same record a barcode scan would have written, instead of sitting in an inbox as an attachment nobody indexes. The data that only ever existed on paper stops being a gap in the twin.
Manual & spreadsheet
Where a feed doesn't exist yet, a simple upload still builds the twin. No source left behind.
A spreadsheet upload maps into the exact schema an automated feed would use, so a site with no integration yet still gets a working twin from day one, not a placeholder waiting for IT. When a real feed finally arrives, it slots into the same model instead of triggering a rebuild.
Turn wearable data into labour truth
A wearable scanner knows far more than what was picked. From the stream of scan events — the kind ProGlove wearables produce — WareBee reconstructs how associates actually spend a shift: standing, walking, handling, waiting.
That's the difference between a productivity number and the reasons behind it. See true idle time, not the idle time a report assumes, and know where the minutes really go.
- Time split: standing, walking, handling
- True idle time, measured — not estimated
- Per-associate, per-zone, per-shift
Find the bottlenecks. Account for the invisible work.
When you can see the walking and the waiting, the bottlenecks stop hiding. WareBee pinpoints where the flow stalls — a congested aisle, a slow replenishment, a queue at the dock — and prices it in travel and time.
It also captures the work no WMS tracks: cleaning, maintenance, housekeeping, meetings. Non-WMS tasks stop being unexplained idle time and become visible, planned and accounted for.
- Bottlenecks located on the layout, not guessed at
- Non-WMS tasks — cleaning, maintenance — made visible
- Idle time attributed to a cause you can fix
Learn more
What is a connected warehouse?
A connected warehouse is one where the data from its devices — scanners, wearables, forklift telematics, IoT sensors — flows into a single model instead of dying in a dozen disconnected systems. The hardware is usually already there; what's missing is somewhere for all of it to mean something together.
WareBee is that somewhere. The Data Engine ingests any source through the Universal WMS API, a knowledge graph unifies it, and the digital twin turns raw events into labour truth: how time is really spent, where the bottlenecks are, and which tasks — including the non-WMS ones — are quietly eating the shift.
You don't need new hardware to start. If your devices already scan, drive or sense, WareBee can learn from them today — and a paid pilot proves what that data is worth on your own floor.
Frequently asked questions
How WareBee connects the data your warehouse already produces and turns it into a live digital twin.
What is a connected warehouse?
A connected warehouse is one where data from every device — scanners, wearables, forklift telematics, IoT sensors — flows into a single model instead of dying in disconnected systems. WareBee is that single model: the Data Engine ingests each source through the Universal WMS API and a knowledge graph unifies it into one trusted picture.
Which data sources can the Data Engine ingest?
Six kinds: scans from barcode and wearable scanners, forklift and MHE telematics, IoT and environmental sensors, WMS and ERP system feeds, photos and documents read by AI vision, and plain manual or spreadsheet uploads. Where a live feed does not exist yet, a simple upload still builds the twin.
Do I need to buy new hardware to get started?
No. The scanners, wearables and sensors are usually already on your floor — what has been missing is somewhere for all of it to mean something together. If your devices already scan, drive or sense, WareBee can learn from them today, and a paid pilot proves what that data is worth on your own floor.
What can WareBee learn from wearable scanner data?
From the stream of scan events that wearables like ProGlove produce, WareBee reconstructs how associates actually spend a shift — standing, walking, handling and waiting. That turns a productivity number into the reasons behind it, showing true measured idle time per associate, per zone and per shift.
How does WareBee surface bottlenecks and hidden work?
Once the walking and waiting are visible, WareBee pinpoints where flow stalls — a congested aisle, a slow replenishment, a queue at the dock — and prices it in travel and time. It also captures work no WMS tracks, such as cleaning, maintenance and meetings, so idle time becomes attributable to a cause you can fix.
What does WareBee build from all this data?
It builds a live digital twin — a working copy of your warehouse that simulates the physical space, navigation and the processes inside it. Raw events become labour truth: how time is really spent, where the bottlenecks are, and which non-WMS tasks are quietly eating the shift.