3 mins read
Every COD order your team ships without a confirmation call is a bet. Sometimes it pays off. Often it doesn’t. The order comes back because the customer was unreachable or the address was wrong. As a result, someone on your operations team spent the morning on calls that solved nothing.
If you run customer operations at a growth-stage e-commerce company, you know the struggle of managing the cash on delivery orders. Their confirmation is probably one of the most resource-intensive, least intellectually demanding tasks your team does. It’s a script. It’s a question. It’s a yes or a reschedule. And right now, a human being is making that call at a much higher cost than required.
There is a way you can save that cost and protect your employees from that mind-numbing, painstaking task.
Here’s how.
Why Do Unconfirmed COD Orders Return at Such High Rates?
COD isn’t going anywhere. It accounts for a significant share of e-commerce orders in India, particularly outside Tier 1 cities, because buyers don’t fully trust online payment flows or don’t have the infrastructure for them. That’s the reality of the market you’re selling into.
The problem is the return rate. Per Unicommerce’s 2024 India e-commerce data, unconfirmed COD orders return at 24%, versus roughly 10% for confirmed orders. That gap is the entire business case for calling.
So, you call. Your team calls thousands of times a week. Each call is short, typically 60 to 90 seconds, following the same flow. You confirm the order, verify the address, check the delivery date, handle the occasional cancellation, and send a confirmation message. Multiply that by order volume and the hours add up fast.
During peak season (Diwali, Big Billion Day, end-of-season sales), that volume can double or triple overnight. You can’t hire fast enough. You can’t train fast enough. And you can’t afford to slow down shipping timelines while you figure it out.
What Does a COD Confirmation Call Actually Look Like?
A typical COD confirmation call follows a tight script:
- Identify the customer
- Confirm the order name and value
- Verify the delivery address
- Ask if the delivery date still works
- Handle a reschedule or cancellation if needed
- Close with a confirmation message.
There is no negotiation. There is no complex judgement. There is a script and a set of outcomes.
This is precisely the kind of interaction that breaks agent morale over time. It’s not hard. It’s just relentless. Agents hired to handle real customer issues spend hours confirming that a customer in Jaipur still wants their phone case delivered on Thursday.
Can a Voice Bot Actually Handle COD Confirmation Calls?
Yes. It’s a structured workflow, not a complex conversation.
The objection operations managers raise most often is: “What if the customer has a question we haven’t anticipated?” It’s a fair concern for certain customer interactions. It’s not a fair concern for COD confirmation. The call tree is short. The outcomes are defined. The customer is expecting a routine call about a routine order.
Platforms like AceX, built specifically for non-technical operations managers, handle the call end-to-end: identify the customer, play the confirmation flow, collect the outcome, and close. What makes modern voice bots materially different from IVR systems is what happens when the conversation goes slightly off script.
The bot understands natural language responses, handles Hindi-English code-switching, and manages edge cases. For example, if a customer wants to change the delivery address mid-call, bot can help them do that.
Beyond the conversation itself, the bot takes action during the call. During a live call, agents can send a WhatsApp or SMS confirmation without waiting for the call to end. They can also pull real-time order data from their CRM, so it’s always working with accurate information. It can also log outcomes directly, with no manual entry required.
When the conversation genuinely needs a human (an angry customer, a payment dispute, a complex delivery issue), the bot transfers the call with full context. Your agents handle the exceptions. The bot handles the volume.
What About Order Tracking and Delivery Update Calls?
The same logic applies.
Order tracking queries follow a pattern: the customer wants to know where their order is, when it arrives, or why it’s delayed. The information exists in your system. The conversation is short and structured. An agent reading from a shipment dashboard and a voice bot querying your logistics API are providing the same thing.
Inbound tracking calls are often higher volume than outbound confirmation calls, particularly post-dispatch. A voice bot configured for this use case handles the load automatically. Customer calls in, bot identifies the order, reads the status, and sends a tracking link over WhatsApp while they’re still on the call.
The result? Fewer agents needed for first-pass handling, faster resolution for customers, and more available for interactions that actually need human attention.
What Does Deployment Look Like for a Non-Technical Ops Team?
Most operations managers assume that deploying a voice bot means a procurement process, an IT dependency, and six months before anything goes live. It’s a fair assumption. That’s how every other platform has worked. AceX was built specifically to break that assumption.
The deployment workflow looks like this:
Define the use case in one or two sentences. The platform generates the agent prompt. Configure your models, connect your knowledge base, and set up the tools the agent needs: address lookup, CRM fetch, WhatsApp confirmation.
Then test it before you go live.
That testing step is where AceX is unlike every other platform on the market. AceX includes built-in AI evaluators that let you create simulated test calls before any real customer hears the bot.
You define the success criteria (successful confirmation, correct address capture, proper escalation handling), run the scenarios, and see where the agent performs and where it needs adjustment. No other platform offers pre-deployment validation without a developer building it from scratch.
Once tested, deployment is a matter of setting up your outbound campaign or inbound number and going live. The whole process, from first configuration to first live call, takes hours. Not months.
COD Confirmation Calls are a Solved Problem
The workflow is simple, the outcomes are defined, and the tooling to automate it exists today. A without requiring a development team or an enterprise procurement cycle.
Every automation solution provider automatically assumes their customers have an engineering team. This is the reason most operations managers are still running manual confirmation calls. It also assumed they had a six-month runway. Neither is true for most e-commerce operations teams.
AceX was built for the operations manager who needs to move fast, prove results, and not wait on it.
FAQ
1. What is voice commerce and how do chatbots improve customer service in e-commerce?
Voice commerce is the use of voice assistants like Alexa or Google Assistant to search, select, and purchase products online through spoken commands. Chatbots improve customer service by offering instant responses, personalized recommendations, 24/7 availability, order tracking, and seamless issue resolution, enhancing user experience and reducing operational costs for e-commerce businesses.
2. How do chatbots improve customer service?
Chatbots improve customer service by providing immediate, consistent responses to inquiries, reducing wait times and human workload. They handle FAQs, guide product selection, process orders, and offer post-purchase support. Using AI and data, they personalize interactions, learn from conversations, and ensure round-the-clock assistance, boosting customer satisfaction and loyalty significantly overall.
3. What are the 4 types of AI?
The four types of AI are reactive machines, which respond to current inputs; limited memory systems, which use past data; theory of mind, which would understand emotions and intentions; and self-aware AI, a hypothetical stage possessing consciousness. These categories describe AI’s progression from basic automation to advanced, human-like intelligence capabilities.
4. What are the use cases of voice bots?
Voice bots are used in customer support for handling calls, answering queries, and routing requests. Theyassist in banking transactions, healthcare appointment scheduling, smart home control, and e-commerce ordering. Additionally, they enable hands-free navigation, language translation, and accessibility for visually impaired users, improving convenience, efficiency, and user engagement across industries.
