Please Wait...

Case Study

Our experience and in-depth knowledge from having worked with some of the world’s leading organizations allows us to not only suggest solutions for tough problems but also to pre-empt some of them.

Here are some case studies that might be useful to you.

Trade promotion optimization

Industry: FMCG

Problem Statement

Client, a premium liquor manufacturer wanted to optimize their trade schemes for effective Adoption, Growth, Trade cost % saving.

Our Approach

  • Identified sensitive outlets.

  • Scientific target setting.

  • Robust evaluation process.

The How

  • Built a
    single source of truth

  • Linear Regression used
    to calculate outlet sensitivity.

  • Machine Learning model used:
    XG Boost classificationmodel

Insights to action

  • Outlet level sales/ payout predictionhelped in target setting.

  • Built Real-time reports/MIS.

  • Exceptions reported.

  • Process automated.


  • Actual sales @ 106% on achievement on target.

  • Actual payout @ 1.68% vs target payout @ 1.73%.

  • Market share growth in all key segments:

  • Value Whisky from 42% to 49%

  • Scotch from 34% to 36%.

  • Premium whisky from 58% to 60%.