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    Manufacturing

    Engineer the future of Manufacturing Analytics with Data + Tech

    Raw Data to Refined Efficiency: Manufacturing Data Analytics Revolutionizing the Shop Floor

    67%

    Increase in sales productivity with automation

    Read the complete story
    Scope 3 emissions

    Tracked effectively and internal controls established

    Know how we automate
    15-20%

    Reduction in less excess and obsolete inventory

    Setup your S&OP process
    Precision. Agility. Innovation. Amplied output.

    Precision. Agility. Innovation. Amplied output.

    Production Planning

    Schedule production activities to meet demand while minimizing waste. Align sales, inventory, and production with ease.

    Predictive Maintenance

    Predict the machinery down-time to avoid any disruptions and accumulate saved time and efforts with planned downtime

    Warehouse & SKU Rationalization

    Create demand & seasonal forecasting scenarios for maintaining optimal inventory and ensuring timely flow of goods

    Logistics & Supply Chain Optimization

    Align, engage, and manage the network of suppliers and logistics with robust procurement strategies and real-time visibility

    OEE

    Keep a track of all key metrics like OEE to maintain the interplay and balance b/w supply-demand and enterprise planning

    Rewire Manufacturing

    Rewire Manufacturing operations with future-proof solutions

    From maintaining overall equipment effectiveness to improving the production efficiency, analytics is a powerful tool that can help manufacturers stay ahead in the race

    Analytics for discrete manufacturing Contact Us

    Featured Insights for Discrete Manufacturing Analytics

    FAQs about our Manufacturing Analytics Services & AI Solutions

    Depending on the use case there are multiple techniques that can be leveraged. Some of the examples are:

    • Predictive Maintenance: Techniques such as regression analysis, time-series forecasting, and anomaly detection can help predict equipment failures and prescribe timely maintenance.
    • Process Optimization: Techniques like simulation modeling, digital twins, and optimization algorithms, etc. These enable real-time analysis of processes, identifying opportunities for efficiency improvement, resource optimization, and waste reduction.
    • Quality Control: Techniques like statistical process control (SPC), machine learning for classification and clustering, and image analysis for visual inspections. These techniques aid in monitoring and improving product quality by detecting deviations and minimizing defects.

    Our services span across the data lifecycle right from master data management to enterprise planning all the while covering aspects of analytics like descriptive, diagnostic, predictive, and prescriptive by combining tools like business intelligence, generative AI, advanced analytics, and more as part of our manufacturing data analytic services.

    Some of the key steps of our implementation process for manufacturing include:

    • Discovery Workshop: Where we map your goals and data.
    • Data Prep & Models: Where we clean your data and build custom tools.
    • Deployment & Training: We launch solutions and get you up to speed.
    • Continuous Improvement: We refine models and grow with you. Further steps can be outlined based on your specific needs and requirements.

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    Our Manufacturing Experts
    Varun Garg
    Varun GargDirector - APAC, EMEA & UK
    Raj Bhattacharya
    Raj BhattacharyaSVP & Business Head