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See Benchmark in Action

Browse real-world caselets that showcase how Benchmark Six Sigma has helped organisations solve critical problems, reduce costs, boost efficiency, and drive results.

Use the filters below to explore by industry or solution area. Each caselet highlights a challenge, our approach, and the impact delivered.

🔍 Select a category to explore what’s possible for your organisation.

Caselet Filters

  • Business Analytics > BI Dashboard
    SCM/ Purchase > Supplier QA
    Quality Control/ Quality Assurance > Supplier Quality Management

    Supplier Quality Dashboard Integration

    A dashboard creation project was implemented for real time monitoring of supplier QA for an FMCG company working with a large number of suppliers. The issue identified were lack of well defined KPIs for suppliers, multiple sources for data for supplier quality, no real time numbers for quick decision making. The project addressed these concerns by defining KPIs for each supplier, consolidating data from multiple sources and creating real time dashboards using Microsoft Power BI. Extensive trainings were conducted in-house and suppliers were sensitized about the new QA monitoring mechanism. This resulted in centralized tracking of supplier quality thereby releasing bandwidth of 4 resources.

    Discrete Manufacturing > Fast Moving Consumer Goods (FMCG)

  • Business Analytics > Simulation
    Risk Management > Simulation

    Advancing Risk Management with Simulation

    A project was undertaken for a global financial institution to improve its Risk Management framework using Monte Carlo Simulation. The objective was to enhance risk assessment accuracy and reduce high-risk loan exposure by 30% within six months. The project focused on refining input variables and simulating thousands of potential outcomes for better scenario planning and stress testing. Key benefits included a 65% improvement in risk forecasting accuracy, leading to more informed lending decisions, optimized capital reserves, and enhanced financial resilience.

    Financial Services > Banks

  • Business Analytics > Business Analytics Foundation
    Digital Transformation > Data Analytics
    Sales & Marketing > Sales and Marketing Analytics

    Optimizing Sales Forecasting with Analytics

    The retail arm of a clothing brand struggled with inaccurate sales forecasting, leading to overstock and stockouts costing around INR 25 lacs per quarter. The team identified a need to have a robust predictive model and hence launched an Advanced Predictive Analytics project. By leveraging machine learning models on historical sales and market data, the team improved forecast accuracy by 30%. This optimization reduced inventory costs by INR 20 lacs quarterly and increased sales by INR 10 lacs through better stock availability. Enhanced data governance practices also ensured data quality and compliance, fostering informed decision-making across departments.

    Retail > Brick and Mortar Retail