The Manufacturing Challenges We Solve
We know the specific problems that make manufacturing apps hard. Here is how we approach them.
Disconnected Shop Floor
Production data trapped on paper forms or legacy terminals means managers find out about problems hours or days too late.
Inventory Inaccuracy
Manual stock counts and disconnected systems lead to costly overstock, stockouts, and production delays.
Reactive Maintenance
Without predictive insight, equipment failures happen unexpectedly, causing expensive unplanned downtime.
Inconsistent Quality Checks
Paper-based quality control inspections are slow, inconsistent between inspectors, and hard to audit.
What We Build for Manufacturing
Real-Time Shop Floor Data
Rugged tablet and handheld scanner apps that capture production data live, surfaced instantly on management dashboards.
Barcode/RFID Inventory Tracking
Mobile scanning for receiving, putaway, picking, and cycle counts โ synced live with your ERP or WMS.
Predictive Maintenance
IoT sensor integration and ML-based failure prediction that flags equipment issues before they cause downtime.
Digital Quality Inspections
Standardised digital inspection checklists with photo evidence, automatic non-conformance flagging, and audit trails.
ERP/MES Integration
Integration with SAP, Oracle, or custom MES/ERP systems so shop floor data flows directly into existing business systems.
Management Dashboards
OEE (Overall Equipment Effectiveness), downtime, and throughput dashboards accessible from a manager's phone or tablet.
Types of Manufacturing Apps We Build
Frequently Asked Questions
Do you build apps for rugged handheld devices?+
Yes โ we develop for Zebra, Honeywell, and other rugged Android handhelds and tablets commonly used on factory floors and in warehouses, including barcode/RFID scanner SDK integration.
Can you integrate with our ERP or MES system?+
Yes, we integrate with SAP, Oracle, Microsoft Dynamics, and custom MES/ERP systems via REST APIs, OPC-UA, or middleware layers depending on your existing infrastructure.
Do you build predictive maintenance features?+
Yes โ we integrate with IoT sensors and equipment telemetry to build ML models that predict failures before they happen, reducing unplanned downtime.
How long does a manufacturing app take to build?+
A shop floor data collection or inventory MVP typically takes 10โ14 weeks. Full predictive maintenance or MES integration platforms take 5โ9 months.
Ready to build your app?
Tell us about your project and get a free, no-obligation quote within 24 hours.
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