B2B procurement

Better sourcing for the stores in your neighbourhood.

Saanjha aims to help stores and sellers reach brands, distributors, wholesale markets and procurement partners — negotiating on behalf of its seller network, and consolidating demand so sourcing gets easier for the smallest store on the chain.

Talk to us For brands & distributors

The seller procurement workbench

The side of the business nobody markets.

A selling surface is easy to copy. What keeps a store on a platform is whether the platform made stocking the shelf cheaper and less of a guess.

Order collection windows

A store defines when it collects orders, so demand arrives as a batch it can act on rather than as a stream it has to react to.

Consolidated demand

Individual customer requirements roll up into quantities worth sourcing, which is the difference between buying on instinct and buying to a number.

In-market procurement

Support for the actual trip to the market or the distributor — what to buy, in what quantity, against demand already committed.

Allocation back to orders

What was bought gets allocated against the orders that generated it, including the case where the market had less than the list asked for.

Forecasting from real history

Inventory and forecasting built on what this store actually sold to these communities, not a category average from somewhere else.

Brand and supplier access

A route to brands, distribution partners and wholesale markets that a single neighbourhood store would not get on its own.

The chain

Demand travels up before goods travel down.

Saanjha owns no inventory, runs no fleet and takes no working-capital risk. What it does is make the demand legible early enough to be worth sourcing against.

1
Households place requirements inside their communities.
2
A store’s order window turns those into one consolidated demand picture.
3
Saanjha aggregates demand across stores and negotiates with brands and distributors.
4
Goods flow back down to the store, and are allocated to the orders that asked for them.

How brands and distributors plug in

Being straight about it

What is built, and what is still developing.

Procurement is the part of Saanjha with the longest runway. Pretending otherwise would be exactly the kind of claim our own brand guidelines forbid.

Marketplace neutrality is a design constraint. A commercial relationship does not buy a better position for a worse product.
External catalogue data identifies products; it is never republished. Enrichment providers help match what a store sells to a known product — they do not become the store’s catalogue.
Automatic matching is the dangerous direction. Assigning a store’s item to the wrong product is worse than leaving it unmatched, so the platform treats auto-match as the risky path, not the default one.

What we can talk about today

Sourcing partnerships, distribution routes into communities, and how the workbench handles your category.

What we will not promise

Specific savings. This creates local seller empowerment and potentially better commercial terms — we will publish figures once they are commercially validated.

Where supply comes from

More than one road to the same shelf.

A store should not care which network a case of atta arrived through, only that it arrived at the right price. Saanjha treats supply as something to route rather than a single pipe.

Wholesale markets

The route that already exists. Consolidated demand is what turns a trip to the mandi into a planned purchase rather than a guess.

Brands and distributors

Direct relationships negotiated on behalf of the seller network, so a neighbourhood store gets terms it could not ask for alone.

Open networks

ONDC is one supply network among several, not the platform. Where it offers the better source, the router should be able to choose it.

Catalogue import identifies products; it never republishes them. External enrichment providers help match what a store sells to a known product. They do not become the store’s catalogue, and their data is not passed off as ours.
Auto-matching is treated as the dangerous direction. Assigning a store’s item to the wrong product is worse than leaving it unmatched, so automation here is the risky path rather than the default.
Forecasting is built on this store’s own history. What you actually sold, to these communities — not a category average borrowed from somewhere with different customers.

What else a seller gets

Source like a bigger business.

Tell us what you stock and where you are. We will come back to you about procurement in your area.

Talk to us For local stores