Manufacturing Operations Intelligence
We assess downtime risk, supply-chain data gaps, and quality-control needs โ then match you with the right platform, whatever ERP or OT stack you run.
What we see in manufacturing
Manufacturers lose millions annually to unplanned downtime, quality escapes, and supply chain blind spots. The data to prevent all of it exists โ but it lives in siloed OT systems, ERPs, and spreadsheets that never talk to each other.
- Reactive maintenance means equipment fails during production runs, not scheduled windows
- Quality defects discovered at end-of-line cost 10ร more to fix than at point-of-origin
- Supply chain data fragmented across suppliers, logistics, and warehouse systems
- ERP data is stale โ decisions are made on last week's numbers
What we compare โ independently
Predictive Maintenance Platforms
We compare IoT-and-ML vendors on how far ahead they flag failure โ the best predict 72+ hours out, enough for a planned intervention instead of an emergency shutdown.
Supply Chain Data Platforms
We evaluate Snowflake- and Databricks-based options for unifying supplier, logistics, and inventory data into one real-time view.
Computer Vision QC Vendors
We score visual-inspection vendors on line-speed accuracy โ the category catches defects humans miss, at a fraction of manual-inspection cost.
ERP Integration Partners
We match you with implementation partners who already have SAP, Oracle, and Infor connectors built โ real-time data flow between shop floor and business systems, no from-scratch integration.
What the right match delivers
Where we've seen it work
Automotive Parts Manufacturer
After we matched an automotive parts manufacturer with a predictive-maintenance vendor across 40 CNC machines, emergency shutdowns dropped 28% โ saving $2.4M a year in lost production.
Read use case โConsumer Goods Producer
A consumer goods producer adopted the computer-vision QC vendor we shortlisted across 3 production lines, replacing 12 manual inspectors and lifting defect catch rate from 87% to 99.2%.
Read use case โIndustrial Equipment OEM
Post-acquisition, an industrial equipment OEM used the data platform we recommended to consolidate 6 ERP instances โ a unified view in 10 weeks instead of a 2-year integration roadmap.
Read use case โRecent engagements in Manufacturing
We've mapped this vendor landscape before โ you get a scored shortlist, not a from-scratch search.