D2C brands with a large cash-on-delivery share
Brands selling fashion, beauty, home goods or electronics in tier-2 and tier-3 cities, where many buyers still prefer to pay at the door and a meaningful share of orders are placed on impulse.
A COD confirmation agent phones the buyer shortly after checkout, confirms that they placed the order, verifies the address and landmark, agrees a delivery window, and writes the result back to your order system. Orders that fail confirmation are held or cancelled before you pay for a courier run that would end in a return.
Brands selling fashion, beauty, home goods or electronics in tier-2 and tier-3 cities, where many buyers still prefer to pay at the door and a meaningful share of orders are placed on impulse.
Sellers who pay forward and reverse shipping on every parcel and have no direct line to the buyer except the phone number on the order.
Teams that run a manual calling shift each morning, or send a WhatsApp prompt that many buyers never answer, and want a consistent first-touch process.
Businesses whose order volume jumps for a few days a year and who cannot hire and train callers for that window.
Cash on delivery removes the commitment that prepayment creates. The buyer has paid nothing, so cancelling costs them nothing, while the seller has already paid for packing, the outbound courier leg and, when the parcel is refused, the return leg as well. That asymmetry is the reason RTO (return to origin) is treated as a cost line by most Indian D2C operators.
The causes are mostly mundane and fixable before dispatch. The buyer ordered on impulse from an ad and changed their mind. The address has no landmark and the courier cannot find the house. The phone number belongs to someone else. A family member refuses the parcel because nobody expected it. The buyer is not home on the promised day and the second attempt never happens. None of these are fraud in the strict sense; they are information problems, and a short phone conversation resolves many of them.
A human team can make those calls, but the volume arrives in bursts and the useful window is short: call too late and the parcel has already left the warehouse; call at night and you create a different problem. An AI agent can place the call within minutes of checkout, at a time that respects the buyer, in the language they used while browsing. We are deliberately not quoting an industry-wide RTO figure here, because published numbers vary widely by category and pincode and we have not found one we can cite to a primary source. Measure your own baseline first; the metrics section below shows how.
Your store or order-management system sends the order id, customer name, phone number, product, amount payable and address to Vaami via a webhook or API call. Only orders flagged COD enter the flow.
Before dialling, the agent checks your rules: skip repeat customers with several delivered orders if you choose, respect a permitted calling window, and delay calls placed at night until the next morning.
The agent greets the buyer by name, names your brand and the item, and asks in one sentence whether they placed the order. Language is chosen from the checkout locale or switched when the buyer replies in another language.
A clear yes moves on. A hesitant answer ("I was just checking prices") is probed once, politely, and then recorded as unconfirmed. A no cancels the order in your system with the stated reason.
The agent reads back the locality and pincode, asks for a landmark if none is on file, and captures corrections as structured fields rather than free text.
The agent states the amount payable at the door, reminds the buyer that cash or UPI will be needed on arrival, and agrees which day suits them.
Wrong person, a request to change the product, a complaint about an earlier order: the agent either handles it from your approved answers or transfers to your support line with the transcript attached.
The order is tagged confirmed, unconfirmed, cancelled, address corrected or no answer, with the transcript and recording reference. Your system uses the tag to release, hold or cancel dispatch.
A no-answer is retried at a later slot and then handed to your ops team as a list, rather than being silently treated as confirmed.
Fashion D2C brand, order placed 12 minutes ago, buyer's checkout language was English.
We do not promise a result here. Define each metric before launch, record a baseline, and compare a called cohort against a control group where you can.
| Metric | How to define it |
|---|---|
| Confirmation rate | Confirmed orders divided by COD orders called, measured by cohort of order date so slow responders do not distort a day's figure. |
| RTO rate, called vs not called | Returned-to-origin parcels as a share of dispatched COD parcels, compared between a called cohort and a held-back control cohort over the same weeks. |
| Address correction rate | Share of called orders where the buyer added or changed a landmark, pincode or house detail. |
| First-attempt delivery rate | Parcels delivered on the first courier attempt as a share of dispatched parcels. |
| Reach rate | Calls where a human answered divided by calls placed, split by time of day to tune your window. |
| Cancellation by reason | Cancelled orders grouped by the reason tag the agent captured, such as changed mind, duplicate order, wrong number. |
Send new COD orders from a store or sheet into a call campaign without writing code.
View integrationKeep a lightweight order-confirmation table when you do not run a full order-management system.
View integrationLog confirmation outcomes against the customer record for repeat-order rules.
View integrationTelephony routing for calls and SMS follow-ups.
View integrationOther systems can connect through webhooks and the API described on the Voice Intelligence page or through the full integrations list.
This page is general information, not legal advice. Have your own counsel confirm how rules apply to your business. Read more: TRAI & DLT for AI calling, DPDP and call recording, DND registry and AI calls. Definitions are in the voice AI glossary.
Standard configurations, which means one store or order feed, one language pair and the call flow above, are typically live in under one business day. Connecting a custom order-management system through webhooks depends on your engineering team's side of the integration.
Calls are billed by usage on the published plans. See the pricing page for current plans, and use the calculator to model your daily order volume.
It targets the avoidable causes: impulse orders, incomplete addresses, wrong numbers and nobody home. How much it moves your own RTO depends on your category, pincodes and current process. The reliable way to find out is a held-back control group, where some orders are not called, compared over the same weeks.
A short call that references their exact order and ends quickly is usually received better than a generic robocall. Keep it under a minute for clean confirmations, call inside daytime hours, and let buyers choose WhatsApp or SMS follow-up if they prefer it.
The agent retries at later slots you define, then passes the order to your ops team as unreached. Unreached is its own status; it is never treated as confirmed.
It can offer a payment link by SMS if you have defined that offer, for example a stated prepaid discount that already exists on your store. It will not invent incentives.
Hindi, Hinglish, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, Punjabi and Malayalam are supported, alongside English. Language can switch mid-call when the buyer does.
No. Any system that can send an order event by webhook or API, or via Zapier, can feed the flow. Vaami does not require a particular storefront.
Book a free demo and we will walk through the cod order confirmation flow with your scripts, systems and languages.