Challenge
Each function reported its own KPIs from its own systems, so cross-functional decisions meant cross-referencing spreadsheets.
E2E Supply Chain Cockpit
One KPI model across manufacturing, warehousing, logistics and service.
ERP, MES, WMS, TMS, PLC and IoT data harmonised into five connected views, with consistent KPIs across sites and functions.
Delivered
An integrated cockpit with five connected views on one harmonised KPI model.
Enabled
Comparable KPIs such as OEE, downtime, yield, bin capacity and cost-per-route across sites.
Challenge
KPI definitions differed across plants, functions, and systems. Manufacturing performance was reported in one set of dashboards, warehouse operations in another, logistics costs in a third - each with its own data sources, KPI definitions, and reporting cadences. Cross-functional decisions required cross-referencing multiple spreadsheets, and supply chain leadership lacked an integrated view of operations.
Approach
We built an integrated cockpit unifying manufacturing, warehousing, logistics, and supply chain into one decision-ready KPI model. The platform ingests ERP, MES, WMS, TMS, PLC, and IoT data; harmonizes KPI definitions across sources; and surfaces five connected views: Production Performance, Warehouse & Inventory, Logistics Cost, CFR & Market Analysis, and Service & Delivery.
Each view delivers consistent KPIs across sites and functions - OEE, downtime, yield, bin capacity, occupancy, cost-per-route, perfect-order metrics. An optional real-time intelligence layer extends visibility with line health, telemetry, energy monitoring, and anomaly alerts.
Inside the cockpit
Two screens from the cockpit.
Dashboard screen · 01 / 02
Manufacturing view
OEE, performance, availability and quality, produced and rejected quantities, defect Pareto and production by machine.
- Plant, line and machine filter
- OEE trend and defect Pareto
- Products with the lowest first-time yield
Dashboard screen · 02 / 02
Warehousing view
A bin matrix by rack and a bin capacity view by occupancy status.
- Bin matrix by rack
- Bin capacity from empty to full
Outcomes
Qualitative project outcomes; no measured savings are claimed.
One trusted view across operations - manufacturing, warehouse, logistics, supply chain
Faster cross-functional decisions
Comparable KPIs across sites and functions
Foundation for advanced analytics and AI use cases on top of the harmonized layer
Technology
Power BI
Informatica IICS
Snowflake
ERP / MES / WMS / TMS / PLC / IoT integration
Solution areas: Data Foundations ยท Data Products
