WhatsApp is the first channel. The sourcing engine runs behind it.

An AI sourcing agent behind every WhatsApp inquiry.

Yaar turns one buyer message into cleaned specs, supplier routing, and comparable quotes.

Agent run behind WhatsApp

Message in

Specs parsed

Suppliers ranked

Quotes normalized

Y

Yaar Sourcing

suppliers active

Active Inquiry Simulator

Watch a messy buyer text turn into local supplier quotes

Type an inquiry...

First quotes in 13 minutes

Hyperlocal supplier graph matches

where time disappears

A simple hardware purchase should not pause the job.

The hard part is not knowing what to buy. It is finding who has it, at what rate, and how fast they reply.

The usual path

The work hiding behind one small purchase

Calling 5-10 suppliers for the same item

2-4 hours lost before work can continue

Rates come late, stock is unclear, follow-ups pile up

Fabrication and repair jobs slow down for small parts

Call log
2h 30m lost
10:05

Call supplier 1

No stock

10:22

Call supplier 2

Send photo again

11:10

Call supplier 3

Rate pending

12:35

Follow-up

Still waiting

What breaks

Buyers are forced to compare unstandardized rates, unclear stock claims, and scattered supplier replies manually.

Agent Layer Intelligence

The supplier graph is where the agent gets leverage.

Every inquiry is parsed, matched against supplier behavior, and routed to the shops most likely to quote fast and accurately.

Missing spec detection

Flags grade, size, thread, finish, tolerance, area, or quantity gaps before supplier routing.

Unit normalization

Keeps quotes comparable when suppliers reply per piece, kg, bundle, packet, meter, or sheet.

Supplier memory

Remembers response speed, stock behavior, category fit, and quote reliability over time.

Supplier graph routing

RFQ-1247: M8 x 40 SS bolts

ranking suppliers

Yaar agent

Arihant

Fasteners

13m

Shree

Tools

18m

Metro

Hardware

22m

Vikas

Steel

31m

12

matching suppliers

4

ready stock

3

under 30 min response

Agent Sourcing Steps

autonomous parsing
1

Detects the item family and expected specs

2

Asks one sharp follow-up if the request is incomplete

3

Normalizes supplier replies into the same quote format

4

Keeps a memory of who quotes clearly and responds fast

How ranking changes

01

Item fit

02

Area proximity

03

Response reliability

Launch focus

Starting narrow in Ahmedabad industrial estates.

The initial phase is strictly tailored. It is optimized for repeat, urgent hardware needs where buyers know their items and suppliers can respond in minutes.

Initial buyers

Workshops

Fasteners, tools, MRO items

Fabricators

Steel, plates, angles, consumables

Hardware buyers

Bulk screws, bolts, bearings, fittings

Category Datasets

Fasteners

bolts, nuts, washers, anchors

Fabrication

MS plate, angles, channels, welding rods

MRO

bearings, belts, fittings, tools

Ahmedabad Launch Estates

OdhavNarodaVatvaChangodarKathwada

Supplier quality metrics

Responds with stock and price, not just 'available'

Can handle industrial quantities

Shares pickup readiness and contact details clearly

Out of current scope

Open marketplace browsing

Intentionally out of scope so the first routing workflows remain extremely fast and highly reliable.

Consumer retail items

Intentionally out of scope so the first routing workflows remain extremely fast and highly reliable.

Long-tail custom procurement

Intentionally out of scope so the first routing workflows remain extremely fast and highly reliable.

Early access spot

Join the priority waitlist for AI industrial sourcing.

Leave your contact details. Our team will verify your profile and reach out via WhatsApp as routing slots open in your cluster.

Slots limited
Include country code · we'll only ping you about Yaar

We'll WhatsApp you the moment Yaar opens for early access.