overview

Distribution Expander Case Study

Seek enabled a $500M+ emerging soft drink brand to tell a more compelling, data driven scales story, resulting in $10M+ in distribution opportunities, in matter of clicks.

The Problem:
Walmart buyers weren’t convinced that this historically Hispanic soft drink brand would have success in stories without high Hispanic population.

The Solution:
Seek’s Insight was able to go beyond the traditional POS sales story by creating enriched store profiles based on current market performance to go deeper with their core Hispanic consumer, along with using a third-party analysis on their social media to identify a new consumer segment of “Gen Z Gamer”, enabling them to target the highest value store locations first.

overview

Predictive Inventory Case Study

Seek helped a $10B+ CPG brand recapture $50M in annual ROI by proactively identifying and solving out of stocks with their largest US retail partner.

The Problem:
This brand faced 3 of the typical problems we see in CPG: to much data, outdated tech with limited scale, and lack of analytics and machine learning expertise in-house, resulting in millions of dollar in lost opportunities and fines a year.

The Solution:
Seek’s Insight Cloud has nearly infinite scale-ending customers to leverage billions of rows of data. They were then able to leverage our machine learning and advanced forecasting models, that recommend actions their business teams can deploy the same day.