The success of an e-commerce delivery does not only hinge on efficient transportation and quick dispatch of shipments. Availability of the customer, correct addresses, and proper communication are some factors that contribute to successful shipment delivery. But in case of unavailable customers or wrong information on delivery, shipments will generate Non-Delivery Reports (NDRs).
Manual follow-up through phone calls has been the traditional way of managing NDRs, and this may lead to time wastage in solving the problem as well as increased cost. The development of artificial intelligence technology has made logistics companies use AI voice calling for logistics to improve customer communication.
Using Voice AI, logistics business can call customers, analyze their replies and help them confirm and coordinate rescheduled deliveries. This will help logistics business to improve failed delivery management and reduce RTO.
What is a Non-Delivery Report (NDR)?
The Non-Delivery Report (NDR) is a document created when your courier partner fails to deliver your goods to the desired recipient. It contains information about the reason of failed delivery attempt and helps sellers, logistics providers and couriers to determine the further steps.
In NDR in logistics, failed delivery doesn’t mean that the customer has refused your shipment. He may be absent, the address may be wrong or he might just fail to answer the phone call of your courier.
Efficient NDR management is all about defining the reason of failed delivery, contacting the client and organizing the re-delivery before your package is sent back to you.
Reasons Behind Failed Deliveries
A number of factors related both to your customers and logistics operations may cause the failure of delivery:
- Customer unavailable: The customer is absent at the delivery point when the courier is arriving there.
- COD order rejection: Customers can reject their COD orders because of payment issues, a change of mind, or unrecognized purchase.
- Missed delivery calls: Customers can miss calls from the delivery agents or even fail to answer calls from unknown numbers.
- Miscommunication: There may be discrepancies between customers’ and delivery agents’ knowledge about delivery timing, location or instructions.
Without prompt communication, all of these factors can cause an RTO out of an otherwise successful delivery process.
Why Failure to Deliver Increases RTOs and Operational Cost
Multiple attempts to deliver the same goods add up to transportation, fuel, labor and handling costs. When a parcel fails to be delivered even after the allowed number of attempts, it becomes RTO.
RTO impacts inventory levels, cash flows, and customer satisfaction. For companies dealing with a huge number of shipments, even slight increases in delivery failure rate can create serious operational issues.
That is why modern management of failed deliveries needs more than documenting failed attempts to deliver.
AI Voice & Its Function in Logistics
AI Voice and Understanding AI-Powered Voice Calling
AI Voice is a type of artificial intelligence technology that allows communicating with customers through voice calling by utilizing the power of speech recognition and natural language processing (NLP).
Unlike standard automated voice calls that only involve playing a pre-recorded message, AI-powered voice calls enable understanding customer requests and responding appropriately.
In logistics, AI-powered voice calling for logistics is used to automate regular communications with customers, including delivery confirmation, address confirmation, COD order confirmation, and failed delivery follow-up.
How Does an AI Voice Agent Communicate with a Customer?
The process of communication between an AI voice agent and a customer is based on the following steps:
- The system makes a call based on the information about the shipment and the customer.
- The customer gives a verbal reply.
- The reply is transcribed into text format.
- AI analyzes the reply to determine the customer’s request or purpose.
- The system replies appropriately.
- Call outcome is logged in the logistics system.
If, for instance, the customer states that they are not available at the moment, the agent offers another option for delivery and saves
Difference Between Traditional IVR & AI Voice Calling
In traditional IVR (Interactive Voice Response) service customers are presented with pre-set menu options like pressing 1 for confirmation or 2 for assistance. Customers have to go through this menu to finish their interaction.
In contrast, in AI voice calling customers can give responses, make requests and communicate their specific needs using natural language.
| Traditional IVR | AI Voice Calling |
| Follows fixed menus | Supports conversational interactions |
| Requires keypad inputs | Understands spoken responses |
| Limited predefined options | Handles multiple customer intents |
| Less flexible communication | Context-based responses |
| Limited personalisation | Shipment-specific conversations |
How Can AI Voice Calling Help to Minimize NDR in Logistics?
AI Voice in logistics may be used to solve delivery problems before they lead to RTO (Return To Origin).
Automation of Customer Communication Will Help Businesses React Faster to Delivery Issues.
Automated Calls to Customer after Failure to Deliver
As soon as a courier partner fails in delivery attempts, the system will automatically dial the customer.
The AI will inform the customer about failure and request the reason for it. According to the reply from the customer, it will note whether the customer was not available, did not answer the call from the delivery agent or faced any other problem.
Real-Time Rescheduling of Delivery
While customers may be agreeable about receiving the order, they might not be present at the time of delivery. The AI voice bots could detect such a scenario and provide the available options for rescheduling the order.
Customers’ preferred time for delivery could be noted down and passed on to the relevant logistics systems, subject to courier partner’s ability to deliver.
Such an automation process of delivery rescheduling could help avoid unnecessary repeat efforts and increase the likelihood of successful delivery.
Verification and Updating of Address Details
Incorrect addresses could also be one of the reasons for NDR generation. In such a case, the AI voice bots could reach out to the customers to clarify any missing information.
For instance, an AI bot could clarify with the customer about their building number or landmark or PIN code. This could help resolve the ambiguity between the customers and delivery agents.
Automated COD Order Confirmation
COD orders could have higher chances of being refused by the customers owing to their non-availability or uncertainty of their purchase or refusal to make the payment.
AI calls for NDRs can facilitate COD verification before delivery as well. In advance of delivering the shipment, the system can reach out to customers to verify their purchase and willingness to pay.
In case the customer states that he/she is not willing to receive the package anymore, the system will flag this information and not make an unnecessary delivery.
Multilingual Customer Communication
The presence of many languages in India makes it difficult for logistics companies to deal with customer communication.
AI voice agents can communicate with customers in different languages as well, according to the ability of the chosen platform.
This makes the process of delivery instructions easier and increases customer involvement in solving NDR cases.
Faster Resolution of Delivery Issues
Manual calling teams might not manage to contact all customers immediately, especially when there is high load.
With automated AI calling, companies can start many calls at once, find customer reactions and transfer complicated cases to manual support teams.
Fast communication will help to solve delivery problems while the shipment is still deliverable.
How AI Voice Agents Help Automate the NDR Management Process
Automated NDR management enables linking customer communication with shipment updates, making it possible to manage the process of failed shipments through a systematic approach.
There are six main stages involved in the process:
1. Identification and logging of failed delivery attempts: The courier management system logs information regarding failed delivery and marks the shipment as NDR along with reasons cited by the delivery agent.
2. Automated customer calls: The AI voice agent gets the information about the shipment and places a call to the registered customer.
3. Determination of reasons behind the delivery failure: Through conversational analysis, the AI agent understands why there was a failed attempt in the first place, i.e., either unavailability, incorrect address, or refusal of the order from the customer’s side.
4. Rescheduling of deliveries and updating of customer address: The AI system records rescheduled delivery time or new address provided by the customer.
5. Tracking call outcomes and enhancing performance: The analysis of call success rate, customer feedbacks, reschedule and delivery results help businesses spot problems that may appear and optimize their NDR policy.
This workflow enables AI voice agents for delivery management to deal with repetitive interactions while leaving human agents free to work on complex tasks.
Key Advantages of Implementing AI Voice in NDR and RTO Reduction
Processes Incorporation of AI Voice technology into logistic processes can enhance coordination of delivery and reduce the need for manually communicating with customers.
Decreased Number of Failed Deliveries
Communication with customers in a timely manner solves such problems as unavailability, wrong addresses and missed calls. By getting all necessary information before a new delivery attempt, a company can increase the chance of successfully completing deliveries.
Cost Reduction in the Process of RTO
Each time goods are returned to the place of origin, it incurs extra costs related to transportation, handling and processing of the order. AI Voice technology helps businesses find recoverable orders and undertake necessary steps before they become RTO orders.
Enhanced Customer Experience
Customers get their updates in a timely manner and can convey their preferences regarding delivery without having to wait for an agent to answer
Reducing Manual Calling Efforts
Automated calls minimize efforts required by customer service and operation team members since they don’t need to make repeated follow-up calls anymore.
Delivery Problem Resolution Faster
Using AI in customer communication helps enterprises recognize problems related to deliveries and get customers’ feedback rapidly without any delays between failed attempts of delivery.
Efficiency and Scalability Improvement
AI Voice systems can deal with numerous calls of customers at the same time. It is especially important during sales campaigns and festive periods, when the number of deliveries grows significantly.
Cases of Use of AI Voice Calling in Logistics Process
Besides resolving issues caused by unsuccessful delivery attempts, there is a number of other cases for which AI voice calling might be used.
Delivery Coordination for E-Commerce
An e-commerce company can conduct automated calls to notify their clients about upcoming delivery of goods and get instructions from them concerning the time slot.
Last Mile Delivery in B2C Business
AI calling can be used to contact the customer regarding the delivery spot, to solve address-related issues, and coordinate delivery times.
Coordination of Delivery within B2B Business
A company that manages bulk delivery can use AI calling to arrange delivery spots, work with warehouse staff, and exchange information.
Quick Commerce and Hyperlocal Deliveries
For quick commerce, which delivers goods within a short timeframe, AI voice calling can assist in arranging customer availability and delivery instructions.
COD Shipment Verification before Dispatching
Prior to sending a COD shipment, a business can employ AI voice calling to verify client order and make sure he or she will accept the shipment. Thus, the risk of rejection may be decreased.
Shipment Status and Customer Support
AI voice calling solutions are capable of providing shipment updates, informing of possible delivery delays, answering frequent questions and directing to human support services where necessary.
Tips on Choosing an AI Voice Calling Service for Your Logistics Company
It is crucial to select the right solution since it will help you make sure that voice automation integrates seamlessly with existing delivery processes.
Support of Multiple Languages
Ensure that your AI voice calling solution provides natural speech recognition and multi-language support. It should recognize the languages that are most often used by your clients.
Integration With Courier Management Solutions
It is necessary that the chosen solution integrates with courier management solutions, order management systems and shipment tracking tools. In this way, customer responses and delivery instructions will be taken into account in the proper systems.
Automated Calls and Retries
Consider those solutions which allow automated call scheduling and configure the interval between attempts. Retries policy should prevent the occurrence of excessive or annoying calls to customers.
Data Security and Regulatory Compliance
Customer names, contact numbers, addresses and details of the shipments are part of AI Voice . Hence, it is important to ensure the secure processing of these pieces of data and use them for proper purposes.
TRAI’s Third Amendment to the Telecom Commercial Communications Customer Preference Regulations in India, enacted in September 2026, focuses on Application-to-Person (A2P) calls. According to this amendment, entities making A2P calls need to notify the telecom service provider about this usage in advance along with the list of the calling line identities. In addition, the regulations provide for designated numbering series for regulated commercial communications.
It is necessary to check telecom-related requirements, including sender registration, notification of the calling number, and classification of the communication, before running the automated voice calls.
Businesses must consider the Digital Personal Data Protection Act, 2023 and DPDP Rules, 2025 while processing customers’ data.
Scalability and Customization
The platform must be scalable in terms of changing shipments volume and customizable in relation to call scripts, languages, workflows, and escalation rules.
AI-Based Management of NDRs in the Logistics Industry of the Future
Future logistics industry will be built on connectivity, automation and customer-focused deliveries. One of the ways AI Voice can be useful here is through making the communication process more immediate.
With the development of technology for speech recognition and conversational AI, voice assistants will become capable of understanding more complicated customers’ replies, different regional languages and offering more context-specific help.
Integrating shipments tracking, predictive analytics and courier management systems can make the process of last-mile delivery even more automated. In particular, the system can use shipment data and customers’ patterns of behavior to predict the problems that may arise during delivery and start contacting customers proactively.
Combining AI Voice , workflow automation and logistics data in real-time can help organizations to evolve their NDR management into delivery management process.
Still, all of these steps will require accurate shipment data, integration, trust from customers and human interventions.
Conclusion
Failed deliveries and growing RTO costs continue to be major concerns in the areas of e-commerce and logistics. The conventional NDR strategy involves manual calling processes that may result in inefficiencies and higher workloads.
By contrast, AI Voice technology can provide a more scalable solution with the help of automated customer calls, detecting problems, confirming the address and scheduling new deliveries. Combined with the use of courier management systems, AI Voice can assist companies in reducing failed deliveries, optimizing customer communication, and enhancing last-mile deliveries.
In light of the greater importance of logistics technology, the use of AI Voice can prove to be beneficial.
FAQs
It refers to the identification, documentation, and resolution of unsuccessful delivery attempts. In addition, the process involves finding out why the delivery was unsuccessful, contacting the customer, updating the delivery information and making another delivery attempt to avoid RTO.
AI voice calling automatically reaches out to customers in case of failed delivery attempts to find out why the delivery did not succeed. It collects information about an updated address, availability and rescheduling of the delivery date to save the shipment of logistics businesses.
AI Voice is helpful in reducing RTO by helping to identify the recoverable shipments and then taking appropriate action. It reaches out to the customers and finds out information on the delivery, confirmation of the COD order and records rescheduling request before the shipment is returned to its origin.
The reasons may include unavailability of the customers, inaccurate addresses, unanswered delivery calls, refusal of COD order and miscommunication between the customers and delivery agents.
