Our client, a global PE firm, wanted to leverage CRM data of its portfolio company, a food and beverage retailer, to identify opportunities for higher customer engagement and increase revenue.

• Calculated breakeven growth required to nullify the impact of cannibalization


• Estimated price elasticity for each beverage category using Monte Carlo Simulation by incorporating drivers that impact revenue


• Segmented customers based on purchase patterns via k-means clustering to explore effects of price change on individual groups


• Created efficient product combinations (through Affinity Modelling) from items likely to be purchased together to increase the probability of cross-sell


• Graphically represented customer migration in response to price change to determine elasticity