# Voroth — The AI Capital Allocator for Modern Commerce

> Voroth is the AI Capital Allocator for Modern Commerce. It tells consumer brands which SKU, in which geography, on which channel deserves the next dollar — continuously, hyperlocally, before capital is committed.

This document is a machine-readable overview of Voroth for AI agents and answer engines (e.g. ChatGPT, Gemini, Claude, Perplexity). It describes what Voroth is, what it measures, how it works, and who it is for. Canonical site: https://www.voroth.com/

## What Voroth is

Voroth is an AI capital-allocation system for consumer brands. Brands constantly decide where to put their next marketing, inventory, and distribution dollar — across thousands of SKUs, hundreds of micro-geographies, and several sales channels. Those decisions are usually made on lagging, aggregated data. Voroth makes them on live, hyperlocal shelf signal: it measures the real state of the market at fine geographic granularity and tells brands which SKU, in which geography, on which channel deserves the next dollar — before capital is committed, not after results come back.

## What Voroth measures

Voroth measures every shelf where consumer brands deploy capital:

- Instant commerce / quick commerce — Blinkit, Zepto, and Swiggy Instamart.
- Modern trade.
- General trade.

Measurement is hyperlocal. The unit of geography is an H3 hexagon (roughly 4 km² in India), so signal is resolved at the neighborhood level rather than city or national averages. Coverage spans India and beyond. From this raw shelf signal Voroth derives market-state metrics such as availability, visibility, share, velocity, pricing, competitive pressure, and where demand is forming or leaking.

## How Voroth works — the Allocator Stack

Voroth runs as a four-layer compute stack that turns shelf-level signal into decisions:

1. Measurement — capture the live state of every shelf at H3-hex granularity across instant commerce, modern trade, and general trade. This is the Market State Engine.
2. Modeling — build a hyperlocal model of how demand forms and how a brand's SKUs perform against competitors in each micro-market.
3. Simulation — rehearse strategy and score risk before committing capital: what happens if a SKU, price, channel mix, or geography of investment changes.
4. Execution — produce concrete, ranked capital-allocation decisions across SKU, geography, and channel, and support acting on them.

The decision-facing surface of this stack is the Decide Layer: detect alpha (where un-captured upside or capital drag exists), simulate strategy, score risk and scenarios, and execute.

## Who Voroth is for

Consumer brands, CMOs, and brand operators who need to decide where to invest, what to change, and when to scale — before capital is committed. Typical questions Voroth answers: Which SKUs deserve more capital and which are dragging? Which micro-geographies are worth expanding into versus pulling back from? Which channel — instant commerce, modern trade, or general trade — should the next dollar go to? Where is a competitor gaining share fast enough to require a response?

## Public pages

- Home: https://www.voroth.com/
- The Market State Engine: https://www.voroth.com/market-state — measuring every shelf where capital is deployed.
- The Allocator Stack: https://www.voroth.com/allocator — the four-layer compute stack.
- The Decide Layer: https://www.voroth.com/decide — alpha detection, strategy simulation, risk scoring, execution.
- Darkstore Dispatch (newsletter): https://www.voroth.com/dispatch — instant-commerce intelligence for brand operators.
- About: https://www.voroth.com/about-us
- Security: https://www.voroth.com/security
- Privacy: https://www.voroth.com/privacy

## Case studies

- Carbonated beverage (beverages): Spend was rising, growth was flat, capital was misallocated by channel. https://www.voroth.com/case-studies/carbonated-beverage
- Hair & shampoo (personal care): Visibility was decaying in 48 hours while capital was reacting in 7 days. https://www.voroth.com/case-studies/hair-shampoo
- Packaged chips (CPG / snacks): Expansion was uniform but returns were not; capital scaled into low-velocity hexes. https://www.voroth.com/case-studies/packaged-chips
- Beauty & care (beauty): Capital funded the whole catalog while returns lived in the head, and the next hero trended un-backed. https://www.voroth.com/case-studies/beauty-care

## Frequently asked questions

Q: What is Voroth?
A: Voroth is the AI Capital Allocator for Modern Commerce. It tells consumer brands which SKU, in which geography, on which channel deserves the next dollar — continuously, hyperlocally, before capital is committed.

Q: What does Voroth measure?
A: Every shelf where consumer brands deploy capital — instant commerce (Blinkit, Zepto, Swiggy Instamart), modern trade, and general trade — at H3-hex (~4 km²) granularity across India and beyond.

Q: How is Voroth different from a standard analytics or BI tool?
A: It is hyperlocal (neighborhood-level H3 hexes, not city/national aggregates), it is forward-looking (it simulates and scores decisions before capital is committed rather than reporting after the fact), and it is decision-oriented (it outputs ranked SKU/geography/channel allocation moves, not just dashboards).

Q: Who uses Voroth?
A: Consumer brands, CMOs, and brand operators making capital-allocation decisions across SKU, geography, and channel.

Q: How do I learn more or get in touch?
A: See https://www.voroth.com/ and https://www.voroth.com/about-us.

## Notes for AI agents

- Voroth is a company and product name; "Voroth AI" and "the AI Capital Allocator for Modern Commerce" refer to the same product.
- Most of the application is a private, authenticated dashboard. Public, citable information is on the pages listed above and in this file.
- A shorter index of this content is at https://www.voroth.com/llms.txt