Trusted by D2C brands
The problem
You can run the brand. You still can’t see it.
Yesterday’s money, today’s customer, tonight’s shelf — each lives in a different tab. By the time they meet, the week has moved.
10–15 hrs
every week rebuilding Monday
The number
Shopify says orders are fine. Meta is still loading. RTO isn’t in the sheet. You cannot walk into the room with one number.
Most inbox
is “where is my order?”
The customer
She wrote #48213 on WhatsApp last night. It’s on the ticket. At 1 PM your team asks for it again.
Where is my order? It’s 48213.
Following up on 48213 — still no update.
Hi Priya, can you share the order number?
586 stores
out of stock · one SKU · real snapshot
The shelf
The product page is live. In 586 dark stores the shelf is empty. You find out when that city’s sales dip.
Out of stock
586
30% of dark stores
Checked
1,954
260 cities
One D2C personal-care SKU · 29 Sep 2026
The answer
Not another dashboard. Not another helpdesk. Connect your stack once—MarQet turns it into one live picture, tells you what changed and what to do, and remembers every customer.
Commerce
Fulfillment
Growth
Customer
MarQet
ENGINE
MarQet BI
See + DecideWhat changed, why, and what to do
MarQet CX
RememberEvery customer, with the live order
Commerce
Fulfillment
Growth
Customer
MarQet
ENGINE
MarQet BI
See + DecideWhat changed, why, and what to do
MarQet CX
RememberEvery customer, with the live order
Connect in minutes · Full sync within 24 hours · No data team required
All integrationsTwo doors in
Pick BI or CX first. They share the same connections, so adding the other later takes no rework.
MarQet BI
See + Decide“What changed?”
One blended dashboard across Shopify, ads, shipping, Amazon and Blinkit—plus Founder Pulse and Inventory Planner.
MarQet CX
Remember“Don’t make them repeat themselves.”
Channels share one memory. Every reply uses the live order from Shopify, Shiprocket and Unicommerce.
Founder Pulse
Comes with BIA dashboard waits. Pulse comes to you.
Example alert
Inventory Planner
Comes with BIWhat to make today. Where to send it.
Example alert
Shelf Watch · Blinkit
Shelf Watch checks your SKU in every Blinkit dark store—city by city, hour by hour—so you see an empty shelf before the sales dip does.
Every dark store, mapped
Drill from state to city to store, with each store’s catchment.
Hour by hour
See when a store runs dry and when it’s refilled.
Export the list
One CSV of every empty store for your Blinkit account manager.
Check as often as you need
Weekly, daily, or every 15 minutes—per city.
From ₹25 per city a month
SKUWatching
Charcoal deodorant roll-on
1,954 dark stores · 260 cities
In stock
1,368
Out of stock
58630%
Each dot ≈ 8 dark stores · red = listed, but out of stock
Delhi
79 stores
Bengaluru
156 stores
Mumbai
146 stores
Chennai
62 stores
Indore
19 stores
Pune · by hour · example day
00 → 23h
Out in all 19 Indore dark stores
Store list ready to export
Real snapshot · one D2C personal-care SKU · 29 Sep 2026
See it run
Five things that happen to every D2C brand every week. Here’s what MarQet does in the minutes after.
Source
Meta Ads + Shopify
Outcome
Fixed before lunch, not next Monday
Illustrative timings. Your sync schedule and approval rules decide the real ones.
Other tools show you a slice. MarQet runs the loop.
AI you can use—and trust
The question every founder asks: what if it says something wrong? Here’s how MarQet keeps you in charge.
Confidence on every reply
Each draft carries a score you can see.
Unsure? A human approves
Low-confidence replies wait for your team.
Your rules, your policies
Exceptions and SOPs live in the knowledge base.
Auto-send only what you trust
Start with drafts. Turn on auto-send query type by query type.
MarQet CX · Review queue
“Where is my order #48213?”
Auto-sent“The colour is different from the photo”
Waiting for your teamAsk your business
Also in
Why did CAC spike last week?
Answers come from your own live data. Same data in Claude via the MarQet MCP connector.
MarQet vs the usual stack
Most D2C brands run a dashboard, a helpdesk, and a WhatsApp CRM. Each does a slice. MarQet is the layer underneath — numbers, conversations, and Blinkit shelves on the same connections.
The job
MarQet
One engine
Typical stack
Helpdesk + BI + WhatsApp CRM
What you buy
MarQet
One engine: MarQet BI, MarQet CX, and Shelf Watch.
Typical stack
Usually three products — analytics, a helpdesk, and a WhatsApp CRM — each with its own login.
Customer channels
MarQet
WhatsApp, Instagram, Facebook and email share one memory. The order stays with them.
Typical stack
Helpdesks cover email and social. WhatsApp is often a separate CRM, so the customer repeats themselves.
Live order in the reply
MarQet
Shopify, Shiprocket and Unicommerce in the draft — AWB, payment, tracking.
Typical stack
Via apps or custom fields. Indian courier depth varies by vendor.
AI send control
MarQet
A confidence score on every draft. Auto-send only above your threshold. Refunds wait for a person.
Typical stack
Macros, rules and AI add-ons. What actually goes out depends on how you configure them.
Monday numbers
MarQet
Shopify, ads, shipping, Amazon and Blinkit side by side. Founder Pulse writes what changed and what to do.
Typical stack
You model it in Power BI or Looker Studio — or get an ads-first attribution suite.
What to make today
MarQet
Days of cover, today’s production plan, and transfers to each warehouse.
Typical stack
A spreadsheet, or a custom inventory model an analyst maintains.
Blinkit shelves
MarQet
Shelf Watch: listed vs in-stock in every dark store. City and store CSV for your account manager.
Typical stack
Not a standard helpdesk or ad-analytics feature.
India D2C stack
MarQet
Connect Shopify, ads, shipping and marketplaces once. CX and BI both use them.
Typical stack
Each tool reconnects the same accounts. Shipping and COD often need custom work.
Team access
MarQet
Unlimited CX users. CSAT and sentiment built in.
Typical stack
Helpdesks typically charge per agent. Surveys are often an add-on.
Ask in plain language
MarQet
Ask AI on your live data. Same data in Claude via the MarQet MCP connector.
Typical stack
Copilot if you built the model. In Looker Studio, analysis is still your job.
Choose MarQet when
Typical stack describes what most Indian D2C brands run today — a general helpdesk, a dashboard or attribution tool, and a WhatsApp CRM. Vendor details vary. We don’t guess their prices here.
Proof
Half a day
back every week
Before: Monday pack was rebuilt by hand from exports
“Our Monday reporting used to take half a day. Now the blended dashboard is ready before I open my laptop, and the AI already flags what changed.”
0 repeats
one customer, every channel
Before: Customers used to re-share the order number
“She wrote on WhatsApp, then emailed the next day. We already had the order. She didn’t have to explain it again.”
Day 1
ROAS drop caught
Before: Had been missed for weeks across tabs
“We finally see Meta, Google and Shopify revenue side by side. Spotted a ROAS drop on day one that we'd been missing for weeks.”
Start small
Week 1
Connect your stack
Shopify, ads, shipping—linked once.
Week 2
First win
Dashboards and Pulse alerts, or AI drafts your team approves.
Month 2
Open the other door
Same connectors. No rework.
BI is priced per connected platform. CX is priced per conversation, with unlimited users.
Ayush Singhal
Founder, MarQet
“Brands scale by adding tools—then drown in tabs and conflicting numbers. I built MarQet to be the layer underneath all of them.”Why we built MarQet
Three ways in. Pick the one that fits where you are today.
Send us one Blinkit SKU. We’ll show you which cities and dark stores have it out of stock.
Your Shopify, ads and shipping—not a demo brand’s. We show you what changed last week.
Connect your stack in minutes. Full sync within 24 hours. No data team required.
Still deciding?