From shift-end PDFs to a live operating picture across three plants.
CrossRoads partnered with the COO to stand up a real-time shop-floor visibility layer across three plants, replacing shift-end reporting with a live operating picture. Within four months downtime and minor stoppages fell materially and weekly operations governance shifted from explaining the past to deciding on the next 48 hours.
Illustrative — a pattern drawn from comparable engagements. No specific client or unverifiable results are claimed.
The situation
An industrial manufacturer running three plants on a mix of legacy MES, PLC historian, and ERP exports. Each plant produced shift reports in PDF and weekly Excel packs. Plant managers trusted their local view; the COO had no comparable picture across sites.
What had to change
- No comparable real-time view of throughput, downtime, and quality across plants
- Shift-end reporting cycle made root-cause analysis retrospective and partial
- Capex decisions on bottleneck assets relied on anecdote rather than measured constraint
- Continuous improvement teams were duplicating analytical work plant by plant
The work
We ran a four-week diagnostic to map data sources, decisions, and value pools, then built a real-time shop-floor visibility prototype on the client's existing cloud — first for one reference plant, then scaled to the other two with the client's operations and IT teams in the lead.
Operating-data foundation
Unified MES, historian, and ERP signals into a single operational data model; established data quality monitoring and ownership.
Live operating picture
Real-time output, downtime, and quality views by line, shift, and product — designed with plant leaders so each surface drove a specific decision.
Operating cadence redesign
Replaced shift-end reporting with a tiered daily and weekly cadence anchored to the live view; coached site leadership through the first six weeks.
Scale & sustain
Site-by-site rollout, capability uplift inside operations and IT, and a backlog handed over to the client's continuous improvement function.
What changed, measured
Figures are illustrative ranges drawn from comparable engagements. Validated against your data during diagnostic.
What changed in how the business runs
- Plant managers run the daily review off the live view, not slides
- Constraint engineering work is now prioritized by measured, not anecdotal, loss
- Group operations has a comparable cross-plant picture for the first time
- Continuous improvement backlog is sequenced by quantified value at stake
How value was tracked
Value was estimated bottom-up — measured downtime hours × throughput value, minor-stoppage frequency × labor and yield impact, and reduced indirect time spent producing manual reports. Benefits were tracked in the client's value-realization log and reconciled against operating P&L quarterly.
What we'd carry into the next engagement
Build the prototype around one decision per surface, not one dashboard per stakeholder
Operating cadence change is the unlock — the technology only enables it
Hand over inside operations, not central IT, or the view drifts within a quarter
Where this connects
Digital & Analytics
AI, analytics, automation, and the data foundations that make them work.
Strategy & Execution
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Manufacturing
Visibility, productivity, and digital-grade operating discipline on the floor.
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Facing a comparable situation?
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