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Price Smart: Coforge's Data-Driven Strategy Unveils Revenue Gains for Leading UK Bank

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Overview.

In the competitive UK banking sector, a leading bank faced challenges in efficiently pricing new financial products. The bank's pricing team struggled with analyzing complex market dynamics and competitor landscapes, resulting in slow decision-making processes that hindered speed-to-market and revenue potential. Coforge partnered with the bank to develop a cutting-edge pricing optimization framework, leveraging data science to transform their approach to product pricing.

Challenges.

  • Difficulty in analyzing complex market dynamics and competitor landscapes.
  • Slow and inefficient pricing processes.
  • Hindered speed-to-market for new financial products.
  • Risk of jeopardizing product success due to suboptimal pricing.
  • Balancing revenue, market share, and competitiveness.

Our Solution.

Coforge developed a data-driven pricing optimization framework that included:

  • Competitor Analysis: Ensured competitive pricing strategies.
  • Revenue Forecasts: Predicted impact of various pricing scenarios.
  • Constraint Management: Incorporated business constraints for feasible pricing.
  • Product Goals Alignment: Aligned pricing strategies with overall product launch goals.

Key highlights:

  • Streamlined Data Collection: Consolidated key indexes onto a single platform.
  • Enhanced Customization: Allowed personalized launch strategies with various pricing options.
  • Optimal Price Selection: Guided teams in selecting the best price point meeting all conditions.
  • Real-Time Market Insights: Enabled exploration of different pricing scenarios and market share projections.

The Impact.

From Weeks to Mere Hour

Accelerated Decision Making

18%

Increase in Revenue (MoM)

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