Disconnected shop-floor data hinders production — unified visual ERP

Many mid-to-large manufacturers—roughly 120,000 globally—face fragmented shop-floor data scattered across PLCs, legacy MES, spreadsheets and siloed ERPs, which impedes real-time decision-making, prolongs downtime and hides true OEE from plant managers and quality teams. Production planners and operations leads repeatedly get delayed or conflicting KPIs because integrations are custom, brittle and latency-prone, causing digital initiatives to stall when integration costs and risk exceed expected ROI. The product would be a unified visual ERP layer that harmonizes telemetry via OPC‑UA/MQTT connectors, overlays ERP and MES transactional context, and executes Edge AI for on‑prem inference to deliver low-latency alerts and privacy-preserving analytics. The architecture pairs a connector framework and canonical data model with a visualization-first UX and verticalized KPI templates; commercial targets align with a $300K ACV per site within a $36.0B addressable market, and the approach aims to shorten connector build cycles from months toward weeks. This moment is attractive: IIoT standardization reduces connector engineering, Edge AI enables on‑prem inference to preserve IP and cut latency, and accelerating cloud ERP adoption creates clear anchoring systems—together underpinning a market score of 92/100 and revenue potential 88/100. To stand out you must be pragmatic: ship prebuilt ERP and PLC adapters, focus on a few high-value verticals, and prove out on‑prem reliability rather than trying to replace incumbents; be honest that competition is medium, sales cycles are long and upfront engineering is non‑trivial, so pursue this only if you can fund connector certification and a field sales motion to realize the upside.