Voroth Market Intelligence
Voroth Market Intelligence is a market measurement and decision intelligence platform built for CPG teams.
Voroth helps brands understand what is happening in the market and what could happen next, by combining granular market measurement with decision simulation in one system.
How Voroth Measures the Market
Voroth measures markets using a location-first approach, combining spatial intelligence with on-ground retail visibility.
1. GIS-Based Market Mapping
Markets are mapped using GIS-based neighborhood intelligence, broken down into ~400-meter hexagonal zones.
This allows teams to analyze demand, competition, and retail presence at a neighborhood level instead of relying only on broad city or regional averages.
Each hex represents a consistent, comparable market unit, enabling:
- Accurate market and category sizing
- Localized performance analysis
- Clear identification of white spaces and over-indexed areas
2. Audio-Visual AI for Retail Shelf Measurement
Voroth uses audio-visual AI to analyze retail shelf data from images and videos, converting physical shelf conditions into structured market signals.
This enables measurement of:
- Shelf presence and share
- SKU visibility and placement
- Assortment breadth and depth
- Competitive shelf dynamics
By turning shelf reality into data, Voroth captures how brands actually compete at the point of sale.
3. Unified Market View
Spatial market data and shelf intelligence are combined into a single measurement layer, giving teams a consistent view of:
- Market and category performance
- Brand and competitor presence
- Geographic variations in execution and outcomes
This replaces fragmented reports and manual consolidation across teams.
From Measurement to Decision Simulation
Once the market is measured, Voroth enables teams to simulate decisions before they are made.
CPG teams can test what-if scenarios such as:
- Price or promotion changes
- Assortment or mix adjustments
- Geographic expansion or prioritization
- Competitive or execution-driven shifts
Instead of debating assumptions, teams can compare outcomes side by side and understand trade-offs across neighborhoods, categories, and time periods.
