Reduce Swiggy and Zomato commissions in India

Aggregator commissions take a large cut of every delivery order Indian restaurants fulfil. For a chain, that is a structural profit leak, not just a fee. Understanding where the money goes and building a channel strategy on data is now essential.

What is the true cost of aggregator dependency?

A restaurant owner looking at the Swiggy or Zomato dashboard sees order volume, ratings and revenue. What they rarely see, in clear and consolidated form, is how much of that revenue they keep. Commission structures are layered with advertising costs, packaging charges and payment fees, which hides the real take rate.

Commission rates are negotiated and vary by tier, city and package. On top of the base rate, restaurants often pay for in-app advertising such as boosted listings and subscription-programme placement to hold their ranking. Add it all up and the effective aggregator cost for many restaurants is far higher than the headline figure.

Here is an example with assumed numbers. A chain with ₹4 crore of monthly delivery revenue through aggregators, paying an effective 30 percent, sends ₹1.2 crore every month to the platforms before counting a single operating expense. Check your own rate before using such figures.

If commissions take that much of delivery revenue, delivery orders are at best break-even for many restaurants, even with an efficient kitchen. The growth the platforms offer comes with margin compression that builds over time.

Why do operators accept this?

The problem is easy to see. Leaving is harder.

The first reason is discovery. The platforms have spent heavily on acquiring and keeping customers, so a new outlet gets orders without upfront marketing. For a restaurant opening its fifth or tenth outlet, the aggregator feels like the fastest route to revenue.

The second is operational simplicity. The aggregator handles payment collection, customer service on delivery issues and logistics. That convenience has real value, but it is priced very high.

The third, and most damaging, is that most operators lack channel-level profit data. They know total revenue and total food cost. They do not know precisely which orders earn money and which do not, and that gap lets aggregator dependency continue unchallenged.

What does channel profitability analysis show?

Once a restaurant tracks revenue and cost by channel with restaurant analytics, covering dine-in, direct online orders, Swiggy, Zomato and any other delivery channel, the results are often alarming for operators who have not done it before.

How big is the dine-in against delivery margin gap?

A dine-in order has the food cost and no platform commission. A Swiggy or Zomato order for the same dish has the same food cost plus the commission, which cuts the contribution margin heavily. The kitchen makes the same dish, but the economics are very different.

What is the hidden cost of discounting?

Both platforms run a constant discount ecosystem: buy-one-get-one offers, flat percentage-off promotions and free delivery thresholds. These are often co-funded, but the restaurant’s share is buried in reconciliation statements that arrive days or weeks later. A restaurant offering a discount on top of a commission, on an item with a thin margin, may lose money on that order.

How do you build a direct ordering channel?

Cutting aggregator dependency does not mean leaving Swiggy and Zomato. It means building a parallel direct channel so that loyal, repeat customers can move over time to zero commission. Plan this as a project lasting many months, not a week.

Step one: who are your repeat customers?

Repeat customers, who order from you several times a month through aggregators, are the best segment to move. They have shown loyalty and they have overcome the discovery problem. They use the aggregator only because it is the default.

With POS integration and aggregator data in one place, you can see repeat clusters by area and order frequency. You cannot contact aggregator customers directly, because the platforms own that relationship. But you can use packaging inserts, dine-in touchpoints and QR codes that lead to your direct ordering page or WhatsApp ordering flow.

Step two: how do you set up direct ordering?

It does not need a custom app on day one. For most chains, a WhatsApp Business ordering flow or a simple branded ordering page is enough to begin. The main investment is in customer acquisition and habit, not technology.

Give a reason to switch. A steady direct-order discount that costs less than the commission, plus loyalty points, priority preparation or items only on the direct menu. The direct channel must be clearly better for the customer, not just equal.

Step three: how do you measure migration?

Many chains launch a direct channel, run a few promotions and then cannot tell how many customers moved or what it did to revenue. Without measurement, the effort fades within months.

Integration of all ordering channels into one analytics layer makes migration measurable. Each week you should see the direct share of delivery revenue, the average commission cost per order across channels and whether the direct customer base is growing.

What is the hybrid channel model?

The goal is to use aggregators for customer acquisition while keeping loyal customers on cheaper channels. Think of Swiggy and Zomato as paid acquisition tools and not as permanent revenue partners. Each new customer who finds you there is a lead, and your job is to convert a share into direct customers.

This means splitting aggregator marketing spend by acquisition value and not by order volume. New customers are worth paying for. Those who have ordered several times are the priority for direct migration.

Can you negotiate better rates?

Yes. Rates are negotiated, and your leverage depends on order volume, rating and importance to the platform in your market. A chain with many outlets has more leverage than a single outlet. Present your partners with consolidated data: total order value, average order value, ratings and cancellation rates. Chains that arrive with data negotiate from strength, and those without negotiate from weakness.

How do you find the commission drain by outlet?

The drain differs by outlet. Some sit in dense delivery zones where aggregator orders are most of the revenue. Others are premium dine-in locations where delivery matters less. A single channel strategy for all is a mistake.

Analytics lets you rank outlets by aggregator dependency, by commission cost as a share of revenue and by direct ordering potential based on dine-in engagement. High-dependency, high-volume outlets are the first targets for direct channel investment.

What technology does this need?

• A POS that captures all order data (dine-in, direct delivery, aggregator) in a standard format.
• Aggregator data integration for Swiggy and Zomato orders, commission and payout reconciliation.
• A channel-level P&L showing revenue, commission, food cost and contribution margin by channel, outlet and period.
• Customer segmentation to find repeat aggregator customers and track migration.
• Marketing automation, such as WhatsApp messages, to engage direct customers with loyalty offers.

None of this is exotic. The hard part is integration, getting data from several POS systems, platforms and channels into one view. Restrologic POS records all channels in one place and connects directly to Swiggy and Zomato.

How do you make the case internally?

For investors, franchisees and operations heads, put it in money terms. Your most profitable customer segment is subsidising a third-party platform’s growth at your expense. Estimate the commission you could recover by moving a share of volume to direct, and compare it with the cost of the technology and marketing needed. Use your own numbers, and have clear data to back the case.

How does Restrologic help?

We measure the real commission drain by outlet, model the direct-channel opportunity and set up the data to track progress month by month. If your chain has significant delivery revenue and no clear picture of what aggregators cost, that analysis is the first step. Contact us.