Many manufacturers still depend on paper checklists, whiteboards, and disconnected spreadsheets to run daily operations, which delays decisions and hides problems until they become costly. Our custom manufacturing app development connects frontline workers, machines, and enterprise systems, supported by the engineering expertise behind our mobile app development services.
Industry and security standards we build to align with

ISO 9001

GDPR

OSHA

SOC 2

ISO 27001

OWASP MASVS

GMP

ISO 14001
We develop production tracking apps that let operators view work orders, record output, scrap, and downtime reasons, and follow digital work instructions at each station. Supervisors see line status, shift performance, and bottlenecks in real time instead of waiting for end-of-day reports.
We build mobile maintenance apps for technicians, with QR-tagged asset lookup, preventive maintenance schedules, work order creation and closure, spare parts usage, photo capture, and equipment history. Integration with CMMS or EAM systems keeps maintenance records complete and accessible on the floor.
We develop digital inspection apps with configurable checklists, measurement capture, photo and video evidence, non-conformance reporting, and corrective action tracking. Every record is time-stamped and traceable, supporting quality audits and standards such as ISO 9001 and GMP.
We build inventory apps with barcode and RFID scanning for receiving, put-away, picking, cycle counts, and material transfers between stores and production lines. Real-time stock levels, low-stock alerts, and lot or serial tracking reduce shortages and improve traceability.
Through our IoT development services, we connect machines and sensors to mobile apps and dashboards that show equipment status, cycle counts, temperatures, and alarms in real time. Automated alerts notify the right team when a machine stops or a parameter moves outside its limits.
With our AI development team, we add predictive maintenance based on machine data, image-based defect detection, demand and inventory forecasting, and AI assistants that help technicians find procedures quickly. Each model includes monitoring to maintain accuracy over time. Our guide to AI in manufacturing covers more use cases.
Years in Business
IT Professionals
Clients Worldwide
Projects Executed
Each manufacturing environment has different processes, regulations, and systems. As a custom manufacturing app development company, we tailor workflows, integrations, and device choices to your operations.
Discuss Your RequirementsApps for automotive components, electronics, machinery, and assembly operations, covering work orders, serial tracking, assembly instructions, and line performance.
Apps for food and beverage, chemicals, and pharmaceuticals, with batch records, recipe and lot tracking, environmental monitoring, and GMP-aligned documentation.
Connected product apps for customers, plus service apps for installation, warranty registration, remote diagnostics, and spare parts ordering.
Multi-customer production visibility, job costing, quality documentation, and customer portals that share order status and certificates.
B2B ordering apps with product catalogs, customer-specific pricing, order tracking, and sales rep tools connected to ERP inventory and pricing.
Technician apps for scheduling, job details, checklists, parts usage, customer sign-off, and service reports, available online or offline.
Operators, technicians, and inspectors record work, follow instructions, and report issues from the floor.
Key build areas: Offline mode, scanning, digital forms, rugged device supportPlant managers and executives track KPIs, production performance, and quality trends across lines and sites.
Key build areas: Dashboards, ERP and MES data integration, role-based reportingDistributors, dealers, and customers place orders, track shipments, and access documents and support.
Key build areas: Catalogs, pricing rules, order tracking, ERP integrationMachine and sensor data is monitored remotely to track performance, detect faults, and plan maintenance.
Key build areas: IoT gateways, real-time data streams, alerts, analyticsManufacturing apps must stay accurate and available in demanding environments. These three backend layers keep data consistent between the floor, machines, and enterprise systems.
An integration layer connects ERP, MES, CMMS, WMS, and quality systems through APIs, middleware, or database connectors, and maps their data into a consistent model.
Work orders, materials, and production records flow in both directions, with validation and error queues so no transaction is lost.
Apps store work orders, checklists, and scans locally, so workers can continue in areas with poor connectivity.
Data syncs automatically when the connection returns, with conflict resolution rules that protect record accuracy.
Machine and sensor data is collected through IoT gateways using industrial protocols such as MQTT, then processed in the cloud for dashboards and analytics.
Rules trigger alerts to the right team when machines stop, parameters drift, or maintenance thresholds are reached.
Work orders are released from ERP or MES with materials, routing, and target quantities.
Jobs appear on operator devices by line or station, with digital work instructions attached.
Operators scan materials, record output and downtime, and machine data is captured automatically.
Quality checks are completed in the app, and non-conformances are logged with photos.
Results sync back to ERP, and dashboards update production, quality, and efficiency metrics.
Pilot one workflow
Expand across workflows
Scale across plants
After a scoping session, we provide a detailed estimate for each phase. For broader benchmarks, refer to our mobile app development cost guide.
Workflows, machines, ERP and MES systems, and pilot line mapped.
1 to 2 WeeksGlove-friendly screens tested with operators, plus integration design.
2 to 3 WeeksSprints for apps, ERP and MES sync, IoT data, and dashboards.
Agile SprintsDevice, offline, and integration tests, then a pilot on one line.
Pre-LaunchOperator training, then phased rollout across lines and plants.
OngoingFast scanning with device cameras or rugged scanners for materials, assets, and finished goods.
Configurable forms for inspections, safety checks, and shift handovers, with photos and signatures.
Full functionality without connectivity, with automatic sync once the device reconnects.
Push notifications for machine stops, quality failures, low stock, and overdue maintenance.
Tailored views for operators, supervisors, maintenance, quality, and plant management.
Support for shared devices, kiosk mode, and mobile device management across sites.
Our portfolio includes IoT-connected hardware platforms, real-time asset tracking systems, and multi-location inventory solutions. Our broader manufacturing software development and manufacturing AI development practices also cover ERP, MES, and predictive analytics.
Manufacturing apps deliver value only when they connect to the systems that run the business. Our engineers integrate ERP, MES, CMMS, and IoT platforms with validation and error handling, so data stays accurate across every system.
Xicom holds ISO/IEC 27001 and SOC 2 Type II certifications, and those controls shape how our teams handle your code, credentials, and test data. For your manufacturing apps, we apply role-based access, single sign-on, encryption, and audit logs, and keep production network access separated through secure gateways.
Most manufacturers begin with a fixed-price pilot for one workflow, then move to time and material or a dedicated team as the program expands across plants. We support all three models, hold a 4.8 rating on Clutch, and continue supporting your apps and integrations after rollout.
Flutter
Swift
Kotlin
React
Next.js
TypeScript
Angular
Node.js
Python
Go
Firebase
Apache Kafka
PostgreSQL
MongoDB
Redis
AWS
Google Cloud
Microsoft Azure
Docker
Kubernetes
TerraformA manufacturing app development company builds mobile, tablet, and web applications for factory and field operations, such as production tracking, maintenance, quality inspection, inventory, and machine monitoring. These apps connect to existing ERP, MES, and IoT systems so frontline workers and managers can capture and act on data in real time.
Yes. We integrate with ERP platforms such as SAP, Oracle, and Microsoft Dynamics 365, as well as MES, CMMS, WMS, and quality management systems, through their APIs, middleware, or database connectors where access allows. Work orders, inventory, and production data stay synchronized, so teams do not re-enter information across systems.
Yes. Many plants and warehouses have areas with weak or no connectivity, so we build offline-first apps that store work orders, checklists, and scans on the device and sync automatically when a connection returns, with conflict handling to keep records accurate.
We develop apps for smartphones, tablets, rugged handheld devices with built-in scanners, shop floor kiosks, and large-screen displays, as well as web dashboards for managers. Interfaces are designed for industrial use, with large touch targets, high contrast, and support for barcode and RFID hardware.
Cross-platform app development with Flutter or React Native suits most frontline apps, because one codebase runs on iOS and Android devices across the plant. Native development is recommended when apps depend on specialized scanner SDKs, Bluetooth peripherals, or device-level performance. We recommend the approach after reviewing your devices and workflows.
Yes. We connect machines, PLCs, and sensors through IoT gateways and industrial protocols such as MQTT, then stream data to cloud dashboards and mobile apps. Teams can monitor machine status, production counts, and alerts in real time, and use the data for maintenance and efficiency analysis.
We apply role-based access, single sign-on, encryption in transit and at rest, device management policies, and audit logs, and we keep IT and production network access separated through secure gateways. Security testing is part of every release, and Xicom holds ISO/IEC 27001 and SOC 2 Type II certifications.
Yes. Through our AI development services, we add predictive maintenance based on machine data, image-based quality inspection, demand and inventory forecasting, and AI assistants that help technicians find procedures and troubleshooting steps. AI features can be added once enough operational data is available.
Yes, and we recommend it. Most clients start with one workflow on one production line or site, measure the results, and then extend the app to more processes and plants. A pilot reveals practical issues such as connectivity gaps, device choices, and training needs before a wider rollout.
Our manufacturing app development services are available as Fixed Price for defined pilots, Time and Material for evolving scopes, or a team of dedicated mobile app developers for long-term programs. After launch, we provide monitoring, OS and security updates, integration maintenance as connected systems change, and rollouts to new sites.