QWRY unifies ERP, production-floor systems, supplier records, and quality data into one queryable warehouse, without replacing any of them. Root-cause questions that take three days take three minutes. Cross-plant benchmarking happens in a single query.
ERP knows what was ordered. Production systems know what was made. Quality records know what went wrong. None of it is linked. Root-cause investigations that should take minutes take days.
Different vendors, different schemas, different time semantics. Linking the order to what actually got produced requires manual reconciliation that goes stale every time the line changes.
By the time the quality team has correlated material, operator, machine, and environmental data, the line has run another batch of the same defect. The window to intervene has closed.
Output and quality numbers reach HQ in PowerPoint. Cross-plant benchmarking demands manual consolidation. Best practices stay local because they never surface in a comparable format.
A material from a specific vendor lot correlates with a defect six steps downstream. Without linking PO, batch, and quality data, the supplier audit happens after the recall, not before it.
Each query joins ERP, production data, quality records, and supplier documents, with verified SQL behind every answer, inside your perimeter.
Normalise throughput, scrap, and yield across plants with different production systems and asset hierarchies. Drill from network to plant to line to shift in one query, without a reconciliation meeting.
Join quality records with raw-material batch, production events, operator logs, and environmental data. Surface statistically significant correlations , hours after the defect, not weeks.
Link purchase orders to receiving, to batch consumption, to quality and yield outcome. Identify suppliers whose inputs systematically degrade , even when their delivery documentation looks clean.
Compute Overall Equipment Effectiveness from production event logs and planned schedules. Categorise stoppages by type, asset, and , automatically, without a manual timesheet reconciliation.
For FMCG: join production output with distributor secondary sales and channel data. Surface SKUs where production over-runs and where shortages are losing the shelf, in one view.
From finished goods back to raw material lot, operator, machine, and time window, forming a complete chain of evidence for every flagged batch, admissible in a recall review or regulatory audit.
SAP, Oracle, Infor, Wonderware, proprietary MES historians, OPC-UA sensor streams, and supplier spreadsheets. QWRY reads what you have, with no plant system replacement and no upgrade project.
Enterprise to site to line to asset to batch, fully modelled and queryable. Cross-plant comparisons honour the operational hierarchy. Drill-down from network to machine in a single query.
Every flagged batch or supplier carries a chain of evidence: the query, the source rows, the timestamp, and the confidence score. Admissible in a recall review or regulatory audit.
Warehouse at HQ for cross-plant queries; lake at each plant for resilience. Sync handles intermittent connectivity. On-premise capable for plants with strict data egress controls.
Customer playbooks and technical deep-dives from QWRY deployments in manufacturing.
How an auto-component manufacturer joined SAP, Wonderware, and OPC-UA sensor data into a single warehouse that catches quality drift four shifts earlier than any previous manual process.
Read the case studyHow qwry's relationship graph links production order IDs across three incompatible systems, enabling end-to-end batch traceability without a single manual join or ETL pipeline.
Read the deep-diveSingle-plant dashboards hide the patterns that cause field failures. The signal is in the variance across plants, shifts, , and it only appears when the data is unified.
Read the postA direct technical conversation with the founding team. No sales deck. Tell us about your ERP, production systems, and the questions you can't ; we'll show you what three systems joined can do.
Email goes directly to the founding team. First response within one business day.