Most WMS reporting is a graveyard. Ours is a working tool.
Real-time, predictive, accurate, consistent. Dashboards designed around the operator's job — not the database schema.
Most WMS reporting is a graveyard. Ours is a working tool.
Validation at the source, not at the report.
Most WMS reports are batch-generated, schema-driven, and unread. The operator can't use them because they show last week's data. The supervisor can't use them because they were designed by someone who doesn't run a floor. The CSR can't use them because they're stuck in the BI layer.
Invenits flips this. Data quality is a property of the architecture — validation at every transaction, real-time checks, ghost inventory prevented at write time. The data the dashboard shows is the same data the floor is running on, in the same moment, in the same system.
There's no ETL job between the operations and the report. There's no nightly batch. There's no "the report shows X but the floor shows Y because the report is from yesterday." The data is the operations.
Validation at the source
every transaction checked when written, not reconciled later in a report
Real-time data
dashboards show what the floor is doing now, not yesterday's snapshot
Ghost inventory prevented
blocked at write time, not chased after the fact
One source of truth
operations data and analytics data are the same data, in the same system
Designed around the job, not the schema.
Every role on the floor — supervisor, picker, packer, shipping clerk, CSR, billing analyst, CFO — gets a dashboard tailored to their decisions, refreshed in real time, with drill-down to the underlying transaction.
The data is the same; the presentation is role-specific. The operator dashboard shows what to do next; the supervisor dashboard shows where to intervene; the CSR dashboard shows order status without leaving their queue; the executive dashboard shows multi-client P&L.
Dashboards are built around what the operator needs to do next — not around what the database has to offer.
Operator dashboards
throughput, accuracy, current task queue — per shift, per zone, per individual
Supervisor dashboards
exception rate, retailer compliance, labor utilization, equipment availability
Client portal dashboards
your customers see their inventory, orders, fill rate, billing — without calling you
Executive dashboards
operations P&L, multi-client margin, customer-level retention
What's coming, not just what's here.
Forecasting on order volume, labor needs, equipment utilization, retailer compliance windows. The supervisor sees what's coming, not just what's here.
Predictive models are trained on your operational data — your seasonality, your client volume patterns, your retailer cutoffs, your equipment fault rates. They're not generic industry forecasts; they're forecasts of your warehouse, by your warehouse's data.
Volume forecasting
next-shift, next-week, next-month order volume per client and per retailer
Labor planning
staffing recommendations against forecast volume; pre-peak hiring windows surfaced
Equipment availability
maintenance windows scheduled around predicted utilization patterns
Retailer compliance risk
early warnings on orders trending toward late dispatch, with intervention recommendations
What's available out of the box.
Every dashboard, every report, every API is included in the subscription. New capability ships continuously.
Operational
- Per-operator throughput
- Wave performance
- Exception rate by zone
- Equipment utilization
- Labor utilization
- SOP compliance
Compliance
- Retailer scorecards
- EDI accuracy
- Chargeback prediction
- Routing compliance
- Carton/pallet conformity
- On-time-in-full
Financial
- Multi-client P&L
- Service-line margin
- Per-SKU profitability
- Billing reconciliation
- Cost-to-serve tracking
- Variable cost attribution
Strategic
- Client-level retention
- Volume forecasting
- Capacity planning
- Seasonality patterns
- Trend analysis
- Custom analytics on request
See your operation in our dashboards.
Live demo with the operator dashboards a real customer uses every day.