Warehouse systems engineering · Data & analytics
Analytics engineered on the WMS you already run.
This is bespoke, one-off analytics engineering on your own WMS and your own data — not a productised dashboard, not a subscription, and not generic BI-dashboard building. It is warehouse-operations domain engineering: custom ETL, exception and DPMO logic, and labour, productivity and inventory-accuracy dashboards built to be used on shift, not filed away.
We do not sell an analytics product, a dashboard licence or a subscription. The work is engineered on your own stack and you own the output.
What we build
Three layers, engineered together.
Each layer is bespoke to your data and your operation — not configured from a template.
- 01
Custom ETL & data pipelines
Pipelines that pull from your WMS, WCS/WES and labour systems and reconcile them into a structure that reflects how your floor actually operates.
- 02
Exception & DPMO logic
Defined logic for what counts as an exception, how it ages, and how defects-per-million-opportunities are calculated for your operation — not a generic threshold.
- 03
On-shift dashboards
Labour and productivity, inventory-accuracy and exception views built to be read mid-shift and acted on, not reviewed after the fact.
When you need it
The signals that mean reporting is costing you.
- Manual reporting — spreadsheets pulled and stitched by hand, shift after shift
- Exceptions aging unseen — problems visible only once they have already cost throughput
- No on-shift visibility — performance data that arrives the next day, or not at all
- Data trapped in the WMS — the system captures the events but nobody has engineered a way to read them
What you get
Deliverables you own.
Every engagement ships concrete artefacts your team keeps and can act on — never advice alone.
- Data pipelines — the ETL that moves and reconciles your data, documented and on your own stack
- Exception & DPMO logic — the defined rules, thresholds and aging behind the numbers
- On-shift dashboards — labour, productivity and inventory-accuracy views built for the floor
- Documentation — how the pipelines and logic work, so your team can run and extend them
- Handover — training so the dashboards are used without us in the room
Scope
What this is not.
Out of scope — we do not sell an analytics product, a dashboard licence or a monthly subscription, and we take no vendor commissions. This is not generic BI-dashboard building against an arbitrary schema — it is domain engineering on warehouse operations data. We do not run or monitor the dashboards day to day after handover; ongoing changes are an explicitly scoped follow-on, never assumed.
Turn your WMS data into something used on shift.
Tell us what you already capture and what is invisible until it is too late. A short discovery call, then a scoped plan.
FAQ
Warehouse analytics, answered.
Is this a dashboard product or subscription?
No. This is bespoke, one-off engineering on your own WMS and your own data — not a productised analytics dashboard, not a monthly subscription, and not a licensed tool. You are paying for engineering time to build queries, logic and views on your stack, scoped to a written statement of work. When the work is delivered, you own it outright.
How is this different from general BI-dashboard building?
Generic BI work assembles charts against whatever tables exist. This is warehouse-operations domain engineering: exception and DPMO logic that reflects how receiving, put-away, picking, staging and shipping actually behave, built by someone who understands the floor, not just the schema. The output is designed to be read and acted on mid-shift, not analysed after the fact.
What data sources do you work with?
Whatever you already run — your WMS database or exports, warehouse control/execution system (WCS/WES) event data, labour and time-tracking feeds, and inventory records. The work is vendor-neutral and platform-independent: it is engineered against your own stack, not built on top of a product we sell.
What do the dashboards actually show?
Typically labour and productivity by shift and role, inventory-accuracy tracking, and exception and DPMO views with aging so a problem is visible before it becomes a pattern. The exact set is scoped to your operation on the discovery call, not templated from a generic list.
Do you need direct access to our WMS?
Read access to the relevant data (database, exports or reporting API) is typically enough. Access, data handling and any integration points are agreed before work starts, and a mutual NDA is offered as standard.
Do you maintain the dashboards after go-live?
The engagement is scoped to design, build and handover: pipelines, logic and documentation delivered so your team can run and extend them without us. Ongoing changes are a separate, explicitly scoped follow-on if you want one — never assumed and never a lock-in.
Who typically brings this in?
Operations and supply-chain-technology leadership at 3PLs and warehouse operators — VP/Director of Operations, VP/Director of Supply Chain Technology, Operations Managers and WMS/solutions engineers — usually when reporting is manual, exceptions age unseen, or the floor has no view of performance until the shift is already over.