Digital Transformation Services for Manufacturing Industry
The manufacturing industry is rapidly evolving, and digital transformation is necessary to remain competitive. Our IT and technology solutions for digital manufacturing help them evolve from traditional manufacturing to new-age manufacturing.
Our team of experienced professionals has a deep understanding of the manufacturing industry, and its digital transformation needs. We provide innovative solutions that help our customers attain smart factory goals.
Expertise in digital platform & application development, testing, modernization, cloud solutions, and AI/ML helps our customers stay ahead of the competition by bringing visibility, intelligence, control, predictability, security, and efficiency to the traditional manufacturing setup.
Our partnership with Microsoft, AWS, Software AG, MindSphere, ServiceNow, and Snowflake helps us in driving digital transformation for our manufacturing customers.
Using IoT, Cloud, and AI/ML to Drive Smart Factory & Industry 4.0 Initiatives
IoT Services
Drive digital transformation & IIoT by developing, and managing IoT solutions with Calsoft
- IoT Sensor Communication
- Device Management
- Edge to Cloud Solutions
- IoT Platform and Application Development
- Security Services
Cloud Services
Enhance flexibility and efficiency by upgrading the factory with cloud-based systems
- Cloud Enablement & Migration
- Cloud Native Development
- Containerization & CI/CD Implementation
- CloudOps Management
- Automated provisioning
Data Analytics & AI/ML
Embed the power of analytics with Calsoft’s intelligent data analytics services
- Data Migration & Ingestion
- Data Lake Creation and Management
- Data Transformation
- AI/ML Engineering
- Visualization
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Digital Solutions
Build, develop, and manage digital solutions with Calsoft for efficient production and operations.
-Software Product Engineering
-Cloud & IoT Solutions
-Application Modernization
-Mobile Development
-Testing and QA
- SRE & DevOps
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IT Support & Services
Calsoft’s IT support and services extend from enterprise data centers to Cloud operations management.
-IT Services & Operations Management (ServiceNow)
-Cloud & Infrastructure Management & Monitoring
-Cloud Security & Cybersecurity
- NOC & SOC management
- L2 & L3 support
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Intelligent Automation
Enhance productivity and operations by embedding intelligence, analytics, and automation.
-RPA
-Data & AI/ML Solutions
-Predictive Analytics
-Business Intelligence & Reporting
Explore the Boundless Possibilities of the Smart Manufacturing with these Use Cases
Supply chain optimization
Smart factories can leverage IoT sensors and data analytics to monitor the entire supply chain, identifying bottlenecks and optimizing processes to improve efficiency and reduce costs.
Inventory management
By using real-time data from sensors and RFID tags, manufacturers can track inventory levels and optimize the supply chain to reduce waste and improve efficiency.
Asset tracking
By using IoT sensors and RFID tags, manufacturers can track the location and usage of equipment and tools, helping to reduce loss and theft.
Intelligent automation
By using IoT sensors and AI algorithms, manufacturers can monitor machines in real-time to identify potential issues before they occur, and schedule maintenance accordingly. This can help reduce downtime and repair costs.
Quality control
Smart factories can leverage AI-powered visual inspection systems to identify defects or anomalies in products and raw materials, helping to improve quality control and reduce waste.
Production optimization
Smart factories can use AI algorithms to optimize production schedules and reduce cycle times, helping to increase throughput and efficiency.
Energy management
Smart factories can use sensors and data analytics to monitor energy usage, identify inefficiencies, and optimize energy consumption to reduce costs and improve sustainability.
Worker safety
By using IoT sensors and wearables, manufacturers can monitor worker health and safety in real-time, identifying potential hazards and alerting workers to potential risks.
Digital twin
Smart factories can use digital twin technology to create virtual models of production processes and optimize them using simulations, helping to reduce costs and improve quality.
Customer experience
Smart factories can use data analytics and AI to personalize products and services, improving the customer experience and increasing customer loyalty.
- Supply chain optimization: Smart factories can leverage IoT sensors and data analytics to monitor the entire supply chain, identifying bottlenecks and optimizing processes to improve efficiency and reduce costs.
- Inventory management: By using real-time data from sensors and RFID tags, manufacturers can track inventory levels and optimize the supply chain to reduce waste and improve efficiency.
- Asset tracking: By using IoT sensors and RFID tags, manufacturers can track the location and usage of equipment and tools, helping to reduce loss and theft.
- Predictive maintenance: By using IoT sensors and AI algorithms, manufacturers can monitor machines in real-time to identify potential issues before they occur, and schedule maintenance accordingly. This can help reduce downtime and repair costs.
- Quality control: Smart factories can leverage AI-powered visual inspection systems to identify defects or anomalies in products and raw materials, helping to improve quality control and reduce waste.
- Production optimization: Smart factories can use AI algorithms to optimize production schedules and reduce cycle times, helping to increase throughput and efficiency.
- Energy management: Smart factories can use sensors and data analytics to monitor energy usage, identify inefficiencies, and optimize energy consumption to reduce costs and improve sustainability.
- Worker safety: By using IoT sensors and wearables, manufacturers can monitor worker health and safety in real-time, identifying potential hazards and alerting workers to potential risks.
- Digital twin: Smart factories can use digital twin technology to create virtual models of production processes and optimize them using simulations, helping to reduce costs and improve quality.
- Customer experience: Smart factories can use data analytics and AI to personalize products and services, improving the customer experience and increasing customer loyalty.
Meet Accelerato.ai – the new-age cloud-based analytics platform
Our new-age cloud-based data analytics platform improves business outcomes at scale with data science.
In a post-pandemic world, large enterprises and organizations are rapidly innovating digitally to stay ahead of any unforeseen challenges. As a result, the data consumed every day is growing exponentially.
With each passing day, the volumes of data generated add another layer of complexity, creating a huge data backlog. Calsoft’s Accelerato.ai platform enables you to solve your business problems at scale and automate the business processes through our Machine Learning algorithms.
Success Stories
Our innovative approaches in product development enable us to fulfill our customers’ unique requirements and keep them ahead of their competition. See some of our best work in this domain.
Read more about our Digital Transformation Services for Manufacturing Industry in this Brochure
Download Brochure
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