Multi-Site Analytics
Every warehouse.One standard.
WareBee rolls your whole network into one view and holds every site to the same yardstick — cost to serve, productivity, utilisation, CO2, compliance. See which sites lead, which lag, and exactly why.
Compare your sites
Compare sites on the same yardstick
Every warehouse measures itself differently, which makes network comparison a fight about apples and oranges. WareBee ends it: the same KPIs, computed the same way from each site's own data, in one league table.
See cost to serve, pick rates, utilisation, CO2 and compliance side by side — so the site that's genuinely leading is obvious, and so is the one to focus on next.
- The same KPIs across every site, computed identically
- A league table of leaders and laggards
- Find the site worth learning from — and the one that needs help
Across the network
Six things worth comparing site to site.
Each one benchmarked against your own network and against industry standards — on the same digital-twin foundation everywhere.
Cost to serve
Activity-based cost per order and per client, comparable across every site in the network.
The same activity definitions and cost model run at every site, so a warehouse can't quietly improve its ranking by counting a pick or a putaway differently than the site next door does. When one location's cost per order comes in lower, the difference is real operating performance, not a bookkeeping choice.
Productivity
Units per hour and pick rates, normalised so the comparison is fair.
Rates are adjusted for the order mix each site actually runs — an each-pick operation and a full-case site were never going to post the same raw number, and the normalisation accounts for that before anyone gets ranked. What comes out the other side is a comparison of performance, not of product mix.
Space & utilisation
True capacity and occupancy per site — who is full, who has room, who wastes it.
Reporting capacity the same way at every site means the spare bays in one building and the overflow problem in another sit on the same table, ready to be weighed against each other for a single network decision — reallocate stock, delay a lease, or greenlight an expansion — instead of separate site reports nobody reconciles.
CO2 footprint
Carbon per activity and per shipment, rolled up across the estate.
Carbon per activity is calculated from the same travel and energy data already feeding each site's twin, not a separate carbon-accounting exercise run once a year by a different team. The estate total is a roll-up of real operational numbers, so a reduction target can be tracked site by site as it moves.
Compliance
HAZMAT, storage and weight compliance scored the same way at every location.
One rule set and one scoring method apply across every building, so head office isn't comparing a site's self-graded audit against another site's stricter or looser interpretation of the same policy. A score that drops at one location is directly comparable to the same drop anywhere else in the network.
Labour & overtime
Workforce utilisation and overtime, so the network's labour story is one picture.
Overtime and utilisation are measured against the same baseline at every site, which is what separates a location that's structurally understaffed from one that just absorbed a rough week. The network view makes that distinction visible instead of leaving each site's overtime bill to be explained away locally, one excuse at a time.
Roll up the network, drill to the location
The network view is for the board; the location view is for the floor. WareBee gives you both from one model — roll every site into a single dashboard, then drill from network to site to aisle to a single location without leaving the twin.
When one site cracks a problem, standardise the fix across the others: the same layout logic, slotting policy or labour plan, rolled out network-wide.
- One rollup for the whole estate
- Drill from network to a single location
- Standardise best practice across every site
Learn more
What is multi-site warehouse analytics?
Multi-site warehouse analytics measures a network of warehouses on one consistent standard, so performance can actually be compared instead of argued about. Each site runs differently, records differently and reports differently — analytics only helps when every site is held to the same definitions.
WareBee builds a digital twin of each site and computes the same KPIs from each one's own data: cost to serve, productivity, utilisation, CO2 and compliance. Roll them into a network dashboard, compare them in a league table, then drill from the network down to a single location without switching tools.
For 3PLs and multi-site operators, that's how you find the site worth copying, the site that needs help, and the number to show a client or the board — the whole estate on one page, proven in the model.
Frequently asked questions
How WareBee holds a whole network of warehouses to one standard — and lets you drill from the board view down to the floor.
What is multi-site warehouse analytics?
It measures a network of warehouses on one consistent standard, so performance can be compared instead of argued about. Each site runs, records and reports differently — analytics only helps when every location is held to the same definitions, which is exactly what WareBee enforces.
How does WareBee make comparisons between sites fair?
It builds a digital twin of each site and computes the same KPIs the same way from each one's own data. The result is a single league table where the site that is genuinely leading is obvious, and so is the one to focus on next — no apples-to-oranges argument.
Which metrics can I compare across the network?
Six that matter most: cost to serve, productivity and pick rates, space and utilisation, CO2 footprint, compliance, and labour and overtime. Each is benchmarked against your own network and against industry standards, on the same digital-twin foundation everywhere.
Can I drill from the network view down to a single location?
Yes. The network view is for the board and the location view is for the floor, and WareBee gives you both from one model. Roll every site into a single dashboard, then drill from network to site to aisle to a single location without leaving the twin.
When one site solves a problem, can I roll the fix out everywhere?
Yes. Once a site cracks a problem, you standardise the fix across the others — the same layout logic, slotting policy or labour plan, rolled out network-wide — so best practice spreads instead of staying stuck at one location.
Who gets the most from multi-site analytics?
3PLs and multi-site operators. It surfaces the site worth copying, the site that needs help, and the single number to show a client or the board — the whole estate on one page, proven in the model rather than assembled from mismatched spreadsheets.