Software for Manufacturing

Manufacturing software that respects the plant

Manufacturing software fails when it's designed for the CFO and deployed on the factory floor. Operators need fast, forgiving interfaces that work on shared tablets in high-noise environments. Managers need real-time production data without waiting for the end-of-day report. We design for both.

What we build for manufacturing

• Manufacturing Execution Systems (MES) — production scheduling, work order management, operator instructions, output recording
• Bill of Materials (BOM) management — multi-level BOM, engineering change control, revision management
• Quality management systems (QMS) — inspection plans, non-conformance tracking, CAPA, supplier quality
• Inventory & material management — raw material, WIP, finished goods, lot/batch tracking
• Maintenance management (CMMS) — preventive maintenance schedules, breakdown tickets, spare parts inventory
• Production analytics — OEE, downtime analysis, yield tracking, cost-per-unit dashboards
• Customer order portal — production status visibility, delivery confirmation, quality certificates

Factory floor integration

Modern manufacturing software connects to machines, not just people. We integrate with PLCs via OPC-UA, read IoT sensor data through MQTT brokers, and parse output from barcode and RFID scanners — creating a real-time data layer that replaces manual production logs.

Migrating off paper travelers and shift-end spreadsheets

Most plants we work with aren't starting from a blank slate — they're running on a mix of paper travelers that follow a work order around the floor, whiteboard production boards that get erased at shift change, and an Excel sheet someone reconciles at the end of the day to produce a management report. None of that data is wrong, exactly — it's just delayed, and delay is where the real cost sits: a bottleneck that was visible on the floor at 10am doesn't reach a manager's dashboard until the next morning. Digitising this doesn't mean throwing out how operators actually work; it means capturing the same information at the point it's created, so a production hold or a quality flag is visible everywhere in the business the moment it happens rather than after the shift ends. Rollouts are staged by work centre rather than plant-wide on day one, so operators build confidence in the new interface before it becomes the only way to log output.

Connecting the shop floor to the ERP you already run

Production data is only useful if it reaches the same system your finance and procurement teams work from. We build manufacturing platforms as an extension of a broader ERP implementation rather than a standalone MES that requires manual re-entry into accounting — inventory consumption on the floor should reduce stock in the same ledger procurement reorders against, without a nightly batch job sitting in between. Our modular ERP case study covers a manufacturing and trading business that had finance, inventory, HR, and procurement running as four disconnected systems before we consolidated them — the shop floor problem and the back-office problem turned out to be the same integration problem. If you're scoping a broader rollout alongside plant systems, our ERP implementation roadmap covers the planning questions worth answering first.

Quality & traceability

• Lot/batch traceability — full forward and reverse traceability from raw material to customer delivery
• Statistical Process Control (SPC) — control charts, Cpk analysis, real-time out-of-control alerts
• GMP compliance — audit trails, electronic signatures, 21 CFR Part 11 for pharmaceutical manufacturers
• ISO 9001 documentation — document control, calibration records, audit management

AI in manufacturing

Our AI and machine learning practice is most valuable on the plant floor, where sensor data is abundant and the cost of an undetected defect or an unplanned outage is high:

• Predictive maintenance — vibration and temperature pattern analysis that flags a failing bearing or motor well before it fails outright, rather than after a breakdown ticket is raised
• Visual quality inspection — computer vision defect detection on production lines at machine speed
• Demand-driven production scheduling — ML-optimised scheduling that minimises changeover and maximises throughput

Common questions from manufacturing teams