Real-time data visualization and analytics Customizable dashboards for monitoring KPIs Alerting and notification system for proactive decision-making
End-to-end visibility and tracking of materials Prevention of counterfeit or substandard materials Compliance with regulatory requirements and quality control standards Data-driven insights for optimizing material usage and reducing waste
Real-time monitoring and analysis of equipment performance Calculation and visualization of OEE metrics (availability, performance, quality) Identification of bottlenecks and performance optimization opportunitie Predictive maintenance capabilities to minimize downtime and improve productivity
Monitoring and optimization of energy consumption Identification of energy inefficiencies and savings opportunitie Integration with energy monitoring devices and systems Reporting and analysis of energy usage patterns and trends
Remote monitoring and management of industrial assets Condition monitoring and predictive maintenance Asset tracking and inventory management Real-time alerts and notifications for performance deviations
With years of experience, our team possesses deep industry knowledge across various sectors.
Prescient Technologies is at the forefront of technology adoption. We leverage advanced tools such as machine learning and predictive analytics to deliver accurate and actionable insights.
At Prescient Technologies, we believe in building long-term partnerships. Our team of dedicated experts is committed to your success at every step. From the initial consultation to ongoing support,
We recognize that every business is unique. Our solutions are tailored to your specific needs, challenges, and goals.
Our success stories speak for themselves. Through our OEE service, we have helped numerous clients achieve significant improvements in productivity, efficiency, and quality.
Have you ever had to halt production because a critical supplier failed to deliver on time? Many manufacturers struggle with broken links in the supply chain, especially when their digital tools can’t adapt fast enough. In today’s uncertain environment, it’s no longer enough to have a Product Lifecycle Management (PLM) system that just tracks internal workflows. You need one that connects, adapts, and responds across your entire supply network. This is where PLM customization helps. It extends the core capabilities of your PLM system to create resilient, adaptable supply chains and collaborative ecosystems across suppliers, design teams, and manufacturing partners. Why Standard PLM Isn’t Enough for Modern Supply Chains Traditional PLM systems are mostly built to serve internal engineering teams. They focus on managing product data, revisions, and approvals. But supply chains today involve global partners, suppliers, and external contributors. Static systems can’t handle this complexity. PLM needs to evolve from being a data repository to becoming a connected collaboration backbone. That transformation begins with customisation. How PLM Customization Supports Supply Chain Resilience 1. Design for Disruption Disruptions be it a pandemic, conflict, or material shortage can break traditional supply chains. Companies with custom PLM workflows can build alternative sourcing models and simulate supply risks before they cause damage. A customised PLM system can: According to Wired (2023), 75% of manufacturers plan to invest in digital resilience tools after recent global supply chain shocks. 2. Real-Time Supplier Collaboration Your suppliers shouldn’t be left out of your product lifecycle. A customised PLM platform can offer secure access to selected data, letting vendors contribute at earlier stages of design and manufacturing. Key features include: With PLM supplier collaboration, you reduce cycle time and improve component quality before a part reaches production. 3. Faster Workflows with Automation Manual approvals and data updates often cause delays. PLM workflow automation streamlines repetitive tasks by automatically routing files, notifying users, and logging changes. Common use cases include: This level of automation brings greater control and reduces human error. TechVersions reports that PLM automation can cut product development time by up to 35% (2024). Connecting the Digital Thread Beyond the Organisation The digital thread is the flow of data that connects every stage of your product lifecycle. PLM is a core part of this, but without customization, the thread often breaks when external partners come into play. PLM customization helps by: By building an extended thread, you ensure that everyone internal or external is working from the same up-to-date product data. Why Adaptability Needs to Be Built Into PLM Resilience is not just about reacting to crises it’s about adapting quickly. An adaptable PLM system allows you to: This flexibility makes it easier to meet customer demands, enter new markets, and respond to emerging challenges without rebuilding your system from scratch. Signs You Should Extend Your PLM Capabilities You might need PLM customization if: These issues become business risks as supply chains get more complex. A generic PLM setup cannot handle such variability. A customised one can. What Prescient Technologies Offers Prescient Technologies helps manufacturers build smarter PLM environments that go beyond engineering silos. We specialise in: Our team has delivered custom PLM solutions for leading global manufacturers across industries, making their product and supply data more connected, secure, and adaptable. Key Takeaways Ready to Extend Your PLM Capabilities? If your organisation is looking to improve product visibility, strengthen supplier networks, and build more adaptable operations, it’s time to extend your PLM system. 👉 Talk to Prescient Technologies about how PLM customization can make your supply chain more resilient, collaborative, and future-ready.Contact us to get started.
Read MoreCan Your CAD Tools Keep Up with Climate Demands? Manufacturers around the world are under pressure to reduce carbon emissions, minimise waste, and develop energy-efficient products. But there’s one question every engineering team should ask is your CAD software helping or holding you back from meeting your sustainability goals? As product lifecycles grow more complex and regulations tighten, traditional design workflows no longer suffice. Today, CAD software development plays a critical role in embedding sustainability from the earliest stages of design. It’s not just about creating shapes it’s about making smarter, lighter, and more responsible products. Let’s explore how CAD tools are being transformed to support material optimisation, reduce energy consumption, and minimise waste across the product development cycle. Traditional CAD Workflows Don’t Prioritise Environmental Impact For years, CAD software development focused on improving design accuracy and accelerating time-to-market. But sustainability was rarely a core concern. That’s changing. Here are key challenges with older CAD systems: According to a 2024 study by Lucent Innovation, nearly 45% of manufacturers now say their design tools must directly support energy efficiency and material reduction. Yet many still rely on outdated CAD kernels that are not optimised for environmental metrics. The Hidden Cost of Design Choices When sustainability is left out of early design, manufacturers face: A poorly optimised CAD model may look perfect on screen but lead to real-world waste. Every gram of material saved in a digital model could translate to tons of raw resource savings in mass production. Every kilowatt avoided during machining reduces your carbon footprint. So why not let CAD software development do the heavy lifting? Sustainable CAD Software Development Modern CAD platforms are evolving. They now come with tools that support sustainable engineering practices from the geometry core to energy-aware design features. 🔹 1. Material-Saving Design in CAD Prescient Technologies integrates geometric modeling and CAD kernels that prioritise structural strength with minimal material usage. This is not just efficient it’s sustainable. 🔹 2. Energy-Efficient CAD Modeling According to Wired, design-led manufacturing improvements can reduce energy use by up to 25% per product. 🔹 3. Waste Reduction with Smart Assemblies Through CAD automation, teams can build models that are easy to update and maintain, reducing digital and physical waste. Key Enablers Driving Sustainability in CAD Cloud-Based CAD Platforms They enable real-time collaboration and reduce hardware energy loads. AI in CAD Software Development AI recommends eco-friendly materials and flags unsustainable geometry. Integration with PLM and Simulation Tools Bridges the gap between product design and lifecycle management. Digital Twins Mirror physical assets for testing performance without building wasteful prototypes. Prescient’s experience in CAD software development and integration makes all of this possible in a single ecosystem tailored for manufacturing companies. What Makes Prescient Technologies Different? Prescient has delivered CAD tools and custom geometric modeling solutions for over two decades. The company blends deep domain expertise with CAD automation and AI-assisted optimisation to help clients reduce their design footprint. Key offerings include: These tools are built not just for performance but for the planet. Conclusion: Key Takeaways Looking to Build Sustainable Products from the Start? Contact Prescient Technologies to learn how our CAD Software Development services and automation tools can help your team reduce material use, energy costs, and waste right from the design stage. Let’s build smarter, greener products together. Explore our CAD offerings today – including geometric modeling, CAD kernels, and design automation.
Read MoreIn the rapidly evolving manufacturing and engineering environment, executing a proper Teamcenter implementation can mean the difference between fragmented data silos and seamless, collaborative workflows. As product complexity rises, companies must unify CAD, BOM, change management, and systems like ERP. A well-executed Teamcenter implementation becomes the backbone of innovation, enabling higher quality, faster time to market, and better control over the product lifecycle. This guide walks through the practical blueprint from greenfield planning to a stable go-live, with best practices and real-world insight for engineering leads, IT heads, and PLM champions. Setting the Stage: Planning Your Teamcenter Implementation Define Clear Objectives & Use Cases Begin by documenting the business challenges you intend to solve with Teamcenter. Do you want to: Clear objectives enable you to prioritize modules and keep implementation scope manageable. Secure Leadership Sponsorship & Governance Any PLM project risks stalling without visible executive support. Ensure your steering committee includes department heads from engineering, manufacturing, IT, and quality. Establish decision authorities, escalation paths, and success metrics. Conduct Current State Assessment & Gap Analysis Map existing tools, manual processes, spreadsheets, and data models. Capture how file sharing, CAD vaulting, BOM reconciliation, and change approvals currently operate. This “as-is” map allows you to spot gaps and target what to address in your Teamcenter implementation. Define Go-Live Scope (MVP Approach) Resist the temptation to deploy every feature at once. Define your MVP (minimum viable product) — e.g. CAD integration + revision control + change management for one product line. Defer optional modules (supplier portal, advanced analytics) for future releases. Architecture, Environment & Integration Planning Decide whether you will host on-premises, cloud, or hybrid. Plan server sizing, database architecture, network bandwidth, and disaster recovery.Also design integration touchpoints: CAD systems (e.g. NX, Creo, SolidWorks), ERP, MES, and other enterprise systems. Map data flow, API or middleware layers, and designate where transformations or validations occur. Design & Configuration Phase: Building Your Core System Data Model & Naming Conventions Create a robust data model: item, revision, dataset, classification, attributes, and relationships. Define standardized attribute templates and naming rules. This becomes the foundation of consistency across your Teamcenter implementation. Workflow & Process Definition Design your change process: CR (Change Request) → CA (Change Action) → ECO (Engineering Change Order). Include approval loops, notifications, escalation rules, and integration with change history. Before automating, validate process logic with domain experts. Role-Based Access & UI Configuration Configure roles, privileges, and UI views. Each user group (design, manufacturing, QA, procurement) should see a tailored interface. This ensures usability and reduces load on average users. Integration & Customization Develop connectors, web services, or scripts for data exchange with ERP, CAD, or PLM-adjacent tools. Use configuration first; minimize heavy customizations. Too much customization increases maintenance burden and upgrade risk. Expertia+1 Data Migration & Cleansing Legacy data migration is often underestimated. Clean duplicates, correct attribute inconsistencies, remove obsolete records. Transform data to match your new model, then load it in test environments. Validate integrity. cmscomputer.in+1 Prototype & User Validation Run pilot examples or sample projects to validate design choices. Let key users test workflows early, capture feedback, and iterate before finalizing configuration. Security & Performance Checks Set up authentication, role validation, encryption, and audit trails. Conduct load & stress tests to simulate real user usage. If using cloud (e.g. Teamcenter X), leverage built-in security best practices. Siemens Blog Network Testing, Pilots & Training Phase Functional & Integration Testing Validate each module in isolation (change, BOM, document management). Then run full flows involving CAD to BOM to ERP sync. Confirm data consistency and transaction integrity. User Acceptance Testing (UAT) Select superusers or domain leads from each discipline to execute real scenarios. Collect defects, iterate, and revalidate. This gives confidence before full go-live. Pilot Go-Live Deploy to a controlled product line or department. Monitor usage, gather real feedback, and fix issues before scaling. This pilot acts as a final rehearsal for full rollout. Training & Documentation Provide role-based training — classroom, hands-on labs, quick reference guides. Create knowledge bases for users (FAQs, videos, how-to). Change management must be active: communicate benefits, collect feedback, reward adoption. Go-Live, Stabilization & Continuous Improvement Final Cutover & Production Launch Freeze legacy systems, perform delta data migration, and move to production. Ensure that backup and rollback plans are ready. Hypercare & Support Desk Maintain a dedicated support team post go-live. Track bugs, issues, user requests, and system performance. Provide quick resolution to maintain confidence. Performance Tuning & Monitoring Based on real usage, fine-tune caching, queries, indexing, background jobs, and database settings. Use dashboards to monitor system health and bottlenecks. Drive User Adoption & Change Culture Post-go-live, ensure adoption by measuring user logins, completed tasks, feedback surveys, and missed processes. Reward power users, identify champions, keep training active. Roadmap for Next Releases Set vision for upcoming modules: supplier portal, analytics, mobile access, PLM extensions. Prioritize enhancements based on user feedback and ROI. Key Challenges & How to Mitigate Them Why Prescient Technologies Is the Right Partner for Your Teamcenter Implementation Talk to our experts at Prescient Technologies to plan your next Teamcenter implementation with confidence.
Read MoreThe Industrial Internet of Things (IIoT) refers to the integration of industrial processes, machinery, and devices with Internet connectivity, allowing for real-time data collection, analysis, and communication. It enables industries to enhance operational efficiency, optimize processes, and make data-driven decisions.
IIoT solutions offer numerous benefits to businesses, including: 1) Improved operational efficiency and productivity 2) Enhanced asset utilization and maintenance 3) Real-time monitoring and analytics for informed decision-making 4) Increased visibility and transparency across the supply chain 5) Energy optimization and cost savings 6) Enhanced quality control and traceability 7) Proactive maintenance and reduced downtime
1) Prescient Technologies offers a comprehensive suite of IIoT solutions, including: 2) Management dashboard for real-time data visualization and analytics 3) Material Traceability for end-to-end visibility and tracking of materials 4) OEE Monitoring for equipment performance optimization 5) Energy management for efficient energy consumption 6) Asset Management for remote monitoring and asset maintenance
Yes, Prescient Technologies understands that businesses have unique requirements. Our IIoT solutions are customizable and scalable to adapt to your specific business needs, ensuring a tailored fit and maximum value.
Prescient Technologies specializes in seamless integration with existing systems and infrastructure. Our expert team will work closely with you to ensure smooth integration, minimal disruption, and maximum compatibility.
Prescient Technologies prioritizes data and system security. Our IIoT solutions implement robust security measures to protect against cyber threats and ensure compliance with industry standards and regulations.
The implementation time for IIoT solutions can vary based on the complexity of your requirements. Prescient Technologies follows a streamlined implementation process and strives to minimize downtime during transition. The timeline will be discussed and planned during the initial consultation.
Yes, Prescient Technologies offers comprehensive training and onboarding to ensure that your team is equipped to utilize the IIoT solutions effectively. For more details contact us.
Absolutely! Prescient Technologies has a track record of successful IIoT implementations across various industries. We have case studies and testimonials from satisfied clients that demonstrate the positive impact our solutions have had on their businesses.
To get started, simply reach out to us through contact@pre-scient.com. We will schedule a consultation to understand your specific requirements and propose the most suitable IIoT solutions for your business. Our team will guide you through the entire process, from solution design to implementation and ongoing support.