TARS.
CONVERSATIONAL ANALYTICS FOR F&B
Stop guessing.
Start knowing.
Multi-outlet F&B. Ask anything on WhatsApp or web — in English or Hinglish.
Every morning
One question. Five apps.
“How did yesterday go?” costs you 40 minutes before your first coffee.
Scattered
Every outlet, every platform, its own login.
Late
By the time you’ve pieced it together, the day has started without you.
Reactive
Problems surface when they’re already expensive.
The idea
Ask like you’d ask your manager.
Plain language. English or Hinglish — it answers the way you asked.
Numbers first. Then the why. Then what to do.
On WhatsApp or web. Nothing new to install or learn.
Hinglish in, Hinglish out
kal ka revenue kitna tha?
Kal ka total revenue ₹4.2L tha, 5 outlets mein.
Best: KP ₹1.1L (+8% vs avg).
See it run
One question. Ten seconds. Done.
Recorded against the live product. No edits to the answers.
Not another dashboard
Every answer ends with what to do.
Why is Viman Nagar down?
Viman Nagar dine-in was 34% below 4-week avg.
Two factors: Sunday IPL match moved footfall to delivery. AC complaint on Google reviews — 3 mentions this week.
Rain you can’t fix. AC you can.
Dashboards show you data and wish you luck. TARS separates what you can fix from what you can’t — and hands you the next step.
The part nobody else has
It learns your business.
Your vocabulary
You say “KP”, it knows you mean Koregaon Park. You say “weekend”, it knows yours starts Friday night.
Every night
While you sleep, TARS reviews the day’s conversations and sharpens what it knows about your outlets.
Compounding
TARS on day 30 knows things TARS on day 1 didn’t. Nobody else’s copy of TARS knows your business like yours.
Ask a follow-up and it carries the thread — no re-explaining which outlet, which week, which platform.
The morning view.
Your day’s numbers, on WhatsApp, before you ask. Built and in rollout — pilot partners get it first.
Morning. Here’s your Monday. Total: ₹4.2L across 5 outlets Best: KP at ₹1.1L (+8% vs avg) Issue: Viman Nagar AC complaints (3 today) Low: Baner cheese stock (2 days left) 3 actions in your queue.
What it takes
Week one, start to answers.
Day 1–2
We connect to where your numbers already live — your POS, your reports. Read-only. We never touch your systems.
Day 3
TARS studies your data and learns your menu, outlets, and platforms.
Day 4
You ask your first questions. We tune the answers with you.
Day 5+
Daily use on WhatsApp and web. It keeps getting sharper.
Your data stays yours. Each business is walled off from every other — access is denied by default, not granted by default.
Where this is going
What’s next.
Rolling out
The 8:00 AM briefing
Your day’s numbers arrive on WhatsApp before you ask.
Roadmap
Alerts
“Baner cheese stock: 2 days left” — problems find you before they’re expensive.
Roadmap
Actions, not just answers
Restock from inside the chat. In application with Swiggy now.
Everything above this section is live today. This is the honest “next” — pilots shape which of these lands first.
The offer
Pilot with us.
Full TARS on your real data
WhatsApp + web access for you and your ops lead
White-glove onboarding
A direct line to the builder — your asks shape the product
We take on a small number of pilot partners at a time — the learning engine gets tuned per business, and we do that properly or not at all.
Give us one week of your data and we’ll show you your own business by Friday.
Same brain on WhatsApp and web.
Gets sharper every conversation.
Read-only. We never touch your systems.
Your data stays yours.