A major beverage company looked to boost market share for three underperforming brands across three primary distribution channels: big-box retailers, supermarkets, and convenience stores. They recognized their traditional promotional structure simply didn’t provide an ideal ROI. Learn how antuit.ai brought a fresh machine learning approach and advanced data science to refine targeted promotional spends—and deliver higher net profits.
The company’s traditional promotional strategies—largely centered on tie-ins to major sporting events—were delivering declining bang-for-the-buck. They in turn consulted with antuit.ai, who determined an extended AI-driven analysis would be a valuable resource. After examining data from 75 promotions over the past 12 months, antuit.ai’s data science team provided several surprising insights that would guide the company toward a more productive promotional strategy.
Antuit.ai refined their findings into a series of “Golden Rules”—actionable recommendations for reversing ineffective promotions as well as basing future promotions around specific quantifiable metrics. These AI-inspired Golden Rules are detailed in our case study.
