What should you bring home from market tonight? MarketPulse knows.
A WhatsApp AI that tracks your stock, predicts demand, and tells you what to buy — in your language. No app needed.
store owners making buying decisions from memory alone
Stock levels live in the owner's head. One busy day and they forget what ran out.
Khatabook, Vyapar — all need English, new screens, daily data entry. Downloads happened. Daily use didn't.
Every evening they walk to the wholesale market and buy from gut feeling. No list. No forecast. Just instinct.
Voice note, text, or photo. Tamil, Hindi, or any Indian language.
Sarvam transcribes speech. Groq extracts item, quantity, and price in real-time.
Every transaction is logged to PostgreSQL. Stock levels adjust instantly.
Prophet analyzes purchase history. Builds tonight's buy list before 5 PM.
Buy list arrives on WhatsApp in their language. Voice reply if they sent voice.
| TAM | $50B | Indian Retail Tech |
| SAM | $5B | Kirana Intelligence |
| SOM | $200M | Year 3 Target |
Every free store is a data sensor. Their messages create the intelligence that powers the real business.
Smart buy lists, demand forecasting, profit analytics. Recurring SaaS revenue from store owners who see ROI.
Real-time demand signals from ground-level Kirana transactions — what Nielsen delivers in weeks, we deliver live. One signed FMCG brand validates the entire model.
Next: Kirana Credit Scoring · Distributor Route Intelligence · Working Capital Loans
"Peti" means case. "Bori" means sack. "Half plate" means different things in Chennai vs Coimbatore. None of this is in any training dataset.
Thousands of region-specific trade terms across Tamil, Hindi, Telugu, Kannada. Every conversation trains a model no competitor can replicate without years of field deployment.
After 6 months, the system knows their suppliers, margins, and seasonal patterns. Switching means losing their business memory.
Purchase history becomes irreplaceable over time. The system learns what sells when, what margins look like, and which suppliers deliver. No owner walks away from that.
When 100 stores in one pincode report Parle-G running low, we can predict demand surges before distributors do.
Each new store makes predictions better for every existing store. Aggregate demand signals across a district create forecasting no individual store could achieve alone.
₹20 Lakh Crore of informal transactions that no bank, no government database, and no competitor can see.
No POS systems. No receipts. No digital trail. This data can only be captured through trust-based WhatsApp conversations — not APIs, not scraping, not surveys.
| Khatabook | Vyapar | JioMart | MarketPulse AI | |
|---|---|---|---|---|
| No app required | ❌ | ❌ | ❌ | ✅ |
| Voice in Tamil/Hindi | ❌ | ❌ | ⚠️ | ✅ |
| Works on 2G | ❌ | ❌ | ❌ | ✅ |
| Proactive alerts | ❌ | ⚠️ | ❌ | ✅ |
| FMCG data revenue | ❌ | ❌ | ❌ | ✅ |
| Inventory forecasting | ❌ | ❌ | ❌ | ✅ |
Khatabook raised $190M and still couldn't get daily usage. OkCredit shut its storefront in 2022. The pattern is clear: apps that demand new behavior from Kirana owners fail. WhatsApp is already their behavior.
Now — Month 2
5 stores in Chennai. Goal: daily unprompted usage.
Month 2 — 4
50 stores. 5 PM buy list recommendations go live.
Month 5 — 8
₹1 Lakh MRR from Pro tier + first FMCG LOI signed.
Month 9 — 18
₹50 Lakh+ ARR. FMCG data contracts live. Series A ready.
Founder & CEO — Chennai, Tamil Nadu
"My grandfather ran a Kirana store in Tamil Nadu. Every evening, he walked to market and bought stock from memory. No list. No system. I'm building MarketPulse so no store owner has to rely on memory alone."
No signup. No download. Just open WhatsApp and say what you bought today.
WhatsApp pe message karo →Try in Tamil: "Iniku 50 kilo maavu vanduchu, 1750 rupaye"
Try in Hindi: "Biscuit stock nahi hai"
We need people who've sold to Kirana at scale — ex-HUL area managers, distributor owners, rural sales heads who know the last-mile reality.
Warm introductions to data/insights teams at HUL, ITC, Nestle, or Britannia. One pilot conversation can validate the FMCG intelligence model.
Tamil Nadu has 8 Lakh+ Kirana stores. State-level reach through StartupTN, MSME networks, and district-level Kirana associations for pilot onboarding.
Covers 12 months of API infrastructure, field validation across 500 stores, one full-time hire, and operating reserve. Detailed breakdown below.