Investor Pitch · 2026

The AI distribution layer for India's next 1,000 brands.

90% of FMCG in India still sells offline. We're building the AI operating system that puts emerging brands on the right shelves — with AI store-matching, demand forecasting and hyper-local marketing.

₹65L Cr
India FMCG market
1.3 Cr+
Kirana stores
90%
Sales still offline
10,242
Stores in our network
About us

We're not an agency. We're an AI distribution company.

Distrivo Networks is India's AI-powered Retail Distribution OS — connecting emerging FMCG brands to thousands of vetted retail stores, with AI choosing the store, the SKU and the campaign.

Built for offline India

Trained on Indian kirana, chemist and general-trade reality — not generic global retail data.

Asset-light + AI

We orchestrate distributors, sub-stockists and field sales via AI — without owning the trucks.

AI-native ops

Live AI model predicts demand by pincode, scores every store, and triggers reorders automatically.

Vision & Mission

Where we're going

Vision

To become the default AI distribution rail for every new consumer brand born in India — the way Shopify became the default for online stores.

Mission

Use AI to put 1,000 emerging brands onto 1 million+ stores across India by 2030 — with full transparency on what sells, where, and why.

How it works

From brand HQ to an AI-picked shelf in Indore — in 4 steps

No long contracts, no consulting decks. AI picks the stores, our team executes, the model learns.

01

1. Onboard

Brand signs up. AI scores SKUs, margins and target geographies in days, not months.

02

2. AI place

Our model picks the right kirana, modern trade & chemist stores per pincode and ships the SKU.

03

3. Track

Live AI dashboard: which store, which SKU, sell-through rate, reorder velocity, campaign ROI.

04

4. AI scale

Model doubles down on winning patterns. Expand cities, channels and SKUs with data, not gut.

Revenue model

Three streams. All recurring. All margin-positive.

8–15%

Distribution margin

Standard trade margin on every unit moved through our AI-routed network. Scales linearly with volume.

₹15K–₹1L /mo

AI SaaS subscription

Brands pay monthly for the AI dashboard — store-matching, demand forecasts, reorder automation and campaign ROI.

Premium

AI marketing & visibility

AI-generated hyper-local campaigns, paid shelf placements and sampling — all attributed to real sell-through.

5-year plan

Where the numbers go

Conservative projections based on 8–12% blended take-rate and a clear store-expansion path.

The ask

Why we're raising

Capital goes into building the moat — stores, brand and tech. Not vanity spend.

50%

Network expansion

Onboard 4 lakh+ new stores across Tier 1, 2 and (soon) Tier 3 cities. Boots-on-ground sales reps.

30%

AI marketing engine

Scale our AI creative + campaign engine so every brand on Distrivo runs hyper-local marketing automatically.

20%

AI & product

Deeper demand forecasting, route optimisation and AI store-matching models per pincode.

Exit strategy

Multiple paths to liquidity

A category-defining distribution platform has clear, well-precedented exits.

Year 4–6

Strategic acquisition

FMCG majors (HUL, ITC, Dabur) and global retail/distribution players acquire scaled networks at 4–8x revenue.

Year 6–8

IPO

Indian retail/consumer-tech IPO market is hungry. ₹500 Cr+ ARR puts us in IPO territory.

Year 4+

Secondary / PE buyout

Late-stage PE rounds let early investors exit at strong multiples while business keeps compounding.

Why now

The window is open — for a short time

D2C boom needs offline

1,000s of D2C brands have hit an online ceiling and must go offline to grow.

Kiranas are digitising

UPI, WhatsApp orders and POS adoption have made kiranas reachable at scale for the first time.

No clear leader

The 'Shopify of offline distribution' slot for India is still empty. We intend to own it.

Unit economics work

Asset-light model means we get profitable per-city in months, not years.

Let's build India's distribution rail — together.

We're meeting a select group of investors this quarter. If our thesis resonates, we'd love to talk.