Manufacturing Software Development Company

Off-the-shelf ERP systems are built for the average manufacturer. If your operation isn't average, and most aren't, you spend more time working around the software than working with it.

We build custom ERP systems designed around your actual workflows: your materials, your bill of materials, your production order logic, and your supplier relationships. No modules you don't use. No workarounds for processes the vendor didn't anticipate.

Full production order management covers raw material to finished goods. The system tracks real-time inventory across multiple warehouses and production sites. Your suppliers connect through a portal that automates purchase orders. Finance and costing modules match your actual cost structure. Role-based access keeps floor supervisors, procurement, and finance teams working in their own views.

This works best for mid-size manufacturers replacing legacy on-premise ERP with a modern, cloud-native system, multi-site operations that need consolidated visibility across plants, and companies whose existing ERP is too rigid to support their product lines.

Your ERP manages the plan. Your MES manages execution. Without an MES, you're relying on supervisors to manually track what the ERP says should happen versus what's actually happening on the floor.

We build MES solutions that capture real-time production data: operator inputs, machine signals, quality checks. The system feeds that data back to your planning team so they can act on it, not just report on it after the fact.

Work orders are tracked in real time with operator assignment. Machine downtime and shift performance are logged automatically. In-line quality check points record pass/fail results at the station. IoT sensors and PLCs feed data directly, cutting out manual entry. Supervisors, planners, and plant managers each get a dashboard built for their decisions.

This is the right fit for manufacturers whose floor runs on paper travellers and manual count sheets, operations that need ISO or FDA production record compliance, and teams losing hours every week reconciling planned vs. actual production.

Manual quality inspections miss defects. They're slow, inconsistent, and depend entirely on the inspector's attention on that particular shift.

We've built AI OCR and computer vision systems for industrial use, including a gas station fuel delivery verification system that automated a paper-based, error-prone manual process. The same pattern applies across manufacturing: reading serial numbers, verifying labels, inspecting parts, capturing batch data. We've achieved 60% faster defect detection and 70% reduction in manual data entry on these deployments.

Computer vision inspection catches surface defects, label errors, and dimensional issues at the station. OCR automation pulls data from forms, labels, and documents without manual keying. The system writes directly to your MES or ERP. Defect logs, trend analysis, and SPC-ready reporting give your quality team the data they need for root cause work. Standard cameras are all you need, no proprietary hardware required.

This is the right fit for manufacturers losing products to end-of-line inspection failures, operations with high manual data entry burden, and companies in regulated industries needing audit trails for quality events. For operations that need a standalone mobile tool for quality walkthroughs and equipment checks, see our inspection app development service.

A broken supply chain is invisible until it's expensive. Raw material shortages, late deliveries, warehouse picking errors: these problems look small until they shut down a production line. A single stockout on a critical component can delay shipments by days and cost tens of thousands in idle labour and expediting fees.

We've built multi-carrier shipping platforms and warehouse management systems that give manufacturers real-time visibility across their supply chain, from supplier order tracking to inbound logistics to finished goods dispatch.

The supplier portal tracks PO status and delivery in real time. Warehouse management runs on barcode or RFID scanning with directed picking. Multi-carrier shipping label generation handles dispatch across carriers. Stock replenishment rules and safety stock alerts fire before you run short. The system integrates with your existing ERP, 3PL, and logistics providers.

This works best for manufacturers managing complex supplier networks and inbound logistics, warehouses running on paper pick sheets or outdated WMS systems, and operations with high dispatch volumes and multi-carrier shipping needs.

Your machines generate data. Most manufacturers either can't capture it or can't act on it. Without a connected monitoring layer, a machine can be running at 60% of its rated output for weeks before anyone notices.

We build IoT integration layers that connect PLCs, SCADA systems, and industrial sensors to custom dashboards and alerting tools. Your plant manager sees what's happening on the floor from a phone, from the office, or across sites.

PLC and SCADA data comes in via OPC-UA, MQTT, or Modbus. Real-time dashboards show machine uptime, cycle time, and OEE. Automated alerts fire for downtime events, threshold breaches, and maintenance triggers before they become stoppages. Historical trend data supports capacity planning and efficiency analysis. Maintenance teams get mobile dashboards so they can respond before the line goes down.

This is the right fit for manufacturers moving from reactive to predictive maintenance, multi-machine environments where downtime tracking is manual, and operations investing in Industry 4.0 without a clear starting point.

Production scheduling is one of the most complex problems in manufacturing. You're balancing machine capacity, material availability, workforce shifts, customer delivery dates, and changeover times, all at once. When planners rebuild schedules in spreadsheets, they spend 2 to 4 hours a day on work the software should do.

We build production planning tools that model your actual constraints and generate feasible schedules, not optimistic ones. Planners get a tool that works the way they think, not a generic Gantt chart that ignores reality.

The scheduler accounts for machine capacity and workforce availability as hard constraints. What-if scenario modelling handles rush orders and line changes without rebuilding from scratch. Customer promise dates calculate from real capacity, not from hope. Material availability checks pull live from your ERP. Planners edit the schedule through a visual drag-and-drop interface.

This works best for manufacturers where planners spend hours rebuilding schedules in spreadsheets, make-to-order operations with short lead times and frequent rush orders, and plants with complex changeover rules and multi-resource dependencies.