Machine Learning for Margin Expansion

CONTEXT: Leading Global Food and Beverage Manufacturing Company charged to increase margins in North America through commercial and operation leadership.

THE COMMERCIAL QUESTION: What precise combination of consumer, channel, customer, country, product and factory is driving margins?

WHAT WE DID

• Performed portfolio profitability assessment through AI based modeling, identifying key areas where aggregated reporting had obscured the true economic contribution of every commercial and operational combination

• Convened commercial, finance, supply chain, and factory leadership at an AI leadership strategy summit, aligning around a single-minded shared profitability objective across functions for the first time

• Architected a commercial AI playbook and governance framework for ongoing portfolio decision

• Spearheaded a modelling and scenario planning session with AI — identifying the precise intersections creating the most profitable growth

• Stress-tested portfolio reallocation decisions with country commercial and factory teams against local manufacturing reality and market demand

WHAT AI DID

Machine learning models conducted multivariate analysis to create new combinations that revealed better margins across consumer, channel, product, customer, and factory simultaneously.

Pinpointed the precise intersection generating the strongest economic return.

Connected commercial strategy to operational reality — identifying which combinations to scale, maintain,and exit.

RESULTS

• +500bps higher margin from newly identified business intersection

• 85% reallocation of investment towards profitable intersections