Manufacturing.
What clients bring us.
Manufacturing operations run on data that can't get out. SAP, MES, OEE systems, line sensors and shop-floor spreadsheet reports generate gigabytes of information daily, but management sees it in Excel a week after the fact. Predictive maintenance stays a buzzword because connecting sensors to analysis needs a data engineer you don't have on staff.
External ERP consulting is expensive and never really ends—every change takes weeks. When a new order comes in with a different spec, production planners spend the whole morning manually copying data between systems. AI and IoT sound like a solution from a conference, not from the reality of a mid-size manufacturer.
How we do it.
We start where the data already is—SAP, MES, sensors, manual shop-floor logs. We build a data layer (Snowflake, BigQuery or PostgreSQL depending on scale) and reporting dashboards on top of it that management sees in real time: OEE by line, outage forecasts, order fulfillment, energy consumption.
Predictive maintenance isn't magic—it's a model that reads failure history and sensor data and finds the patterns. We build simple models that work in production, not PhD papers. For production and demand planning, we deploy AI assistants that can read RFQ emails and pre-fill a costing template—the operator just approves it.
4 steps from audit to growth.
- 01
Data audit
3 weeks: we map data sources (SAP, MES, sensors, Excel), identify manual steps and quick wins. No promises—we compute ROI from real numbers.
- 02
Data layer and dashboards
4–8 weeks: we build a central data warehouse, ETL from primary systems, dashboards in Metabase or Looker. Management sees OEE and KPIs in real time.
- 03
AI/ML use cases
8–12 weeks: predictive maintenance for key machines, an AI assistant for RFQs, consumption anomalies. Every use case has a clear ROI metric we track.
- 04
Operations and expansion
Monthly monitoring of models (drift, accuracy), iteration on the data, expansion to additional lines or plants.
A free call comes first.
30 minutes, no strings attached. We'll talk through what you're dealing with in your industry and recommend the next step—for larger projects, that can mean a paid audit of your whole stack.