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Caselet Filters

  • Quality Control/ Quality Assurance > SPC

    Developing an Early Warning System

    An Early Warning System was developed using the Statistical Process Control principles for Fintech company providing real time small ticket loans to customers. The company struggled with delayed notifications on system outages and inaccurate fraud detection. To resolve this, the team developed an Early Warning System by integrating SPC data with the ERP systems, that utilized real-time data analytics and automated anomaly detection. This seamless integration enabled continuous monitoring of systems, graded escalations and responses based on the severity of outages and swift identification of suspicious activities. As a result, unplanned downtime reduced by 78% and fraud detection speed improved by 45% effectively generating revenue of about INR 62 lacs and preventing potential losses of INR 12 Lakhs annually.

    Financials > Finance and Credit Services
    Technology > Technology Product Development

  • Lean HR > HR Analytics

    Benchmarking Compensation for Retention

    An HR analytics project was carried out to do a benchmarking study for the Compensation and Benefit program. The organization faced challenges with retaining top talent due to non-competitive compensation and benefits, resulting in a high turnover rate of 18% at Senior Manager and above level and increased recruitment costs of INR 54 lacs annually. The team benchmarked salaries and benefits against industry standards, implemented equitable pay structures, and enhanced the benefits package by adding performance-based incentives, ESOPs and flexible work options. Additionally, the team introduced transparent communication strategies to ensure employees understood their compensation benefits. As a result, the compensation packages became industry-aligned, reducing turnover to 10% and improving employee satisfaction scores by 20%. This alignment not only enhanced employee retention but also positioned the company as a competitive employer in the market.

    Process Manufacturing > Additional Process Manufacturing

  • Digital Transformation > IoT

    IoT-Driven Predictive Maintenance

    An Internet of Things (IoT) project was done in a manufacturing division that faced frequent machine downtimes, costing approximately INR 50 lacs annually. To address this, the project team implemented a Predictive Maintenance System using IoT sensors on critical machinery. These sensors monitored real-time performance metrics and alerted the maintenance team of potential failures. The solution included integrating IoT platforms with existing ERP systems. As a result, unplanned downtimes reduced by 40%, saving ₹30 lacs annually and enhancing overall production efficiency. Additionally, the data collected enabled better resource planning and extended machinery lifespan.

    Discrete Manufacturing > Electronic and Electrical Equipment

  • Operations > Inventory Management
    SCM/ Purchase > Inventory Management

    Optimizing Inventory Management

    An inventory reduction project was executed at a leather products manufacturing company to reduce the cost associated with the raw material inventory. The project included studying the produce demand, variations due to seasonality, negotiations with the suppliers for time and cost, consolidation of suppliers for a tighter and integrated value chain and Just-In-Time principle. As a result of the project the raw material inventory value was reduced by 45% from INR 10,00,000 to INR 5,50,000. This initiative freed up capital, improved efficiency, and maintained customer service levels without increasing the stockouts.

    Discrete Manufacturing > Additional Discrete Manufacturing

  • Digital Transformation > AI and ML
    Lean Management > Kakushin

    Transforming Loan Approvals with AI

    As a part of an ambitious project, a Kakushin innovation happened with an organization into the lending business. The organization faced lengthy loan approval times, causing customer dissatisfaction and loss of market competitiveness. To disrupt the lending space, they developed an advanced AI platform for instantaneous online loan disbursal. The solution integrated real-time credit scoring by leveraging Machine Learning concepts, automated verification processes, and seamless digital interfaces. This radical transformation reduced loan approval times from about 20 days to about 5 days and minimized manual intervention. As a result, the company captured a larger market share, increasing by 35% within the first year. Additionally, the innovative approach positioned the company as a leader in the digital lending industry, attracting new customers and enhancing overall revenue by INR 4 Cr annually.

    Financials > Finance and Credit Services

  • Business Excellence > Hoshin Kanri

    Aligning Strategy with Hoshin Kanri

    Hoshin Kanri workshops are conducted along with the senior management teams where the team aligns the company’s strategic objectives with departmental goals. They facilitated the catchball process to ensure comprehensive input and buy-in from all levels. Key initiatives included expanding into new markets and enhancing customer service. Regular monitoring and adjustments ensured that targets were met, resulting in a 15% revenue growth and a INR 8 lacs improvement in operational efficiency over the fiscal year.

    Discrete Manufacturing > Additional Discrete Manufacturing

  • Operations > Capacity Planning

    Optimizing Reaction Yields in Production

    In a project within the Chemicals Industry, a company faced low reaction yields in a critical production process, leading to high raw material costs and reduced profitability. To tackle this issue, the project team performed a comprehensive analysis of the reaction parameters and implemented process optimization techniques like MLR. This included adjusting temperature and pressure conditions, optimizing catalyst usage, and integrating advanced process control systems for real-time monitoring. As a result, the reaction yield improved significantly, enhancing unit economics. The increased efficiency led to reduced raw material consumption, lower production costs, and additional revenue of INR 55 lacs annually. Overall, the project boosted profitability.

    Process Manufacturing > Chemicals

  • Business Excellence > Business Modelling

    Enhancing Forecasting with Business Modelling

    In one of the projects, issues with inaccurate sales forecasts, resulting in inventory shortages and excesses were identified that were costing the company INR 8 lacs monthly. To address this, the project team thought about using business modelling approaches to analyze the historical sales data using multiple regression techniques, identifying key factors such as seasonality, marketing expenditures, and economic indicators. The team developed a robust predictive model that enhanced forecasting accuracy by 25%. This improvement enabled more precise inventory management, reducing stockouts and overstock situations by 30%. Consequently, the project saved the company approximately INR 12 lacs annually and provided better predictions and forecasting for strategic decision-making.

    Discrete Manufacturing > Automobiles and Parts