Anonymized Global Beverage: Preventing $300M+ in Stockout Losses

Global CPG • VP of Product • Outcome-Driven Engagement (Executed)

Industry:

Global Juice & Beverage

Scale:

Farms → Processing Plants → National Retail

Status:

Implemented & Executed (Anonymized)

Role:

VP of Product (Embedded)

Duration:

6-month execution program

Focus:

AI, Computer Vision, Demand Forecasting

Executive Summary

Following a carve-out from a multinational parent, a global beverage company faced acute stockout exposure across priority SKUs. Empty shelves on a flagship consumer brand represented immediate revenue loss, retailer risk, and reputational damage.

As VP of Product embedded with the transformation partner, I led and shipped an end-to-end AI and computer-vision program spanning orchards, plants, and retail shelves. The system was not theoretical or advisory; it was implemented, operationalized, and used by field, supply chain, and commercial teams.

The Business Problem

Loss of shared planning infrastructure post-divestiture
Fragmented visibility across agriculture, manufacturing, and retail
Weather- and event-driven demand volatility
Late detection of true on-shelf out-of-stocks

The executive mandate was explicit: prevent stockouts before they hit the shelf, not explain them after the fact.

The Implemented Solution

Field-Level Computer Vision

Deployed drone and satellite imagery across priority groves
Detected weed pressure, canopy stress, and yield-risk patterns
Drive targeted intervention maps for irrigation, herbicide, and labor

Shelf-Level Computer Vision

Captured real shelf images via store partners
Detected empty facings, near-empty shelves, and planogram violations
Generated real-time alerts to sales and replenishment teams

AI Demand Sensing & Replenishment

Combined POS data, shelf depletion, promotions, weather, and local events
Used probabalistic forecasting instead of static point forecasts
Produced forward-looking replenishment and safety-stock recommendations

Outcomes & Impacted (Executed)

Metric	Result
Stockout losses prevented	$300M+ across priority SKUs
On-shelf availability	Material imporovment via CV detection
Forecast accuracy	Significant uplift vs historical baseline
Decision latency	Shifted from reactive to proactive planning

Executive publication:

Coming soon

AI, Supply Chain & Global Retail

Book a conversation with Adam M. Root

If you’re facing stockouts, demand volatility, or fragmented operational visibility, book a call to discuss how this operating model can be applied to your business