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Case Studies

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Uncover growth opportunities across functions

Uncover growth opportunities across functions

Uncover growth opportunities across functions

How a global CPG company used data-driven insights for proactive business decison-making

How a global CPG company used data-driven insights for proactive business decison-making

Intelligent front-end platform

Early warning system

Drivers’ discovery module

Simulator module

The challenge

Insights for long-term success

A leading global Consumer Packaged Goods (CPG) company sought to predict and identify growth opportunities across multiple markets and product lines, including household detergents and food products. The company looked for strategic approach to uncover potential growth areas for future scenarios, ensuring a sustainable path forward.

Key challenges

  • Cross-functional teams analyzed growth and decline across business areas

  • Identified trends to guide decisions across diverse markets and products

  • Insights were key to long-term profitability and sustainability

The solution

Strategic actions for growth and profitability

Growth driver analytics

Identified growth opportunities

Forward view of performance

Enabled pre-emptive actions

Pre-emptive actions

Enabled data-driven decisions

Focused on profitability

Restored demand

Implementation approach

1

Bayesian network

  • Captured interrelationships

  • Integrated KPIs

  • Measured impacts

2

Driver and elasticity mapping

  • Analyzed growth impacts

  • Identified key drivers

  • Mapped elasticity

3

Lead-lag analysis

  • Enabled proactive growth adjustments

  • Analyzed relationships for change

  • Used KPIs to address shifts

The impact

Driving strategic impact through data-driven insights

Early warning system

  • Forecasted sales momentum

  • Identified intervention areas

  • Enabled proactive decisions

A Drivers discovery module

  • Identified momentum levers

  • Enhanced insights for impact

  • Uncovered key drivers

Simulator module

  • Enabled investment adjustments

  • Predicted outcomes

  • Tested scenarios

Looking ahead

Enhanced predictive capabilities

  • Further refine forecasting models for more accurate predictions

Expansion of the Drivers discovery module

  • Broaden the scope of market drivers to unlock additional growth opportunities

Advanced scenario simulation

  • Integrate more variables into the simulator for deeper scenario analysis