How Shipping with Amazon Reduced COD Delivery Failures by Over 15% with Voice AI

COD delivery in India is a different problem

Cash on Delivery is not just popular in India. For a large share of e-commerce orders, it is the default. The customer pays when the package arrives. That means every failed delivery is a failed transaction. The seller loses the sale. The customer loses trust. The platform absorbs the cost.

For a network the size of Shipping with Amazon, even a small failure rate creates a large operational challenge. Sellers were losing revenue on orders that were reachable. The gap was not in demand. It was between the customer and the delivery agent.

Every missed delivery is a broken chain

Shipping with Amazon moves millions of packages every day. Behind every failed COD delivery is a seller who packed and shipped an order, a delivery agent who could not complete it and a customer who is now waiting without answers.

The delivery would fail. A follow-up call would go out. Sometimes it connected. If it connected but the address was unclear, the agent had no way to confirm the right location in real time. The call ended without resolution. A retry was scheduled. The cycle repeated.

Futwork was brought in to break that cycle before it started.

Design the workflow first. Deploy the AI second.

Before building anything, Futwork mapped how deliveries were actually failing on the ground. Not how the system reported them. Three patterns kept coming up.

Each pattern had a clear fix. WhatsApp for advance notice and location confirmation. Voice AI for consistent follow-up at scale. Human agents for the cases that needed real judgment. Futwork connected all three into one sequence and deployed it inside Shipping with Amazon's existing workflow.

Three channels. Each one doing exactly one job.

Futwork gave each channel one job. WhatsApp handles location. Voice AI follows up with leads who have not responded. Human agents take the calls that need real judgment.

Futwork's VoiceWatch system kept human agents in the loop throughout. Every AI call was monitored. Every escalation had a clear path. The workflow ran live within days of deployment.

What a real interaction looks like

Two of the three channels running on an actual lead. The WhatsApp message that locks in the address before the delivery starts. The Voice AI call that follows up when the customer has not responded.

More deliveries reached customers. The cost per shipment dropped.

By the time a human agent steps in, the address is confirmed and the follow-up is on record. The agent has one job: close it.

Three things that made the difference

• 01
  Solve the address problem before the call, not during it

  GPS pin sharing through WhatsApp gave delivery agents an exact location before they left. Agents arrived prepared. First-attempt success rates went up because the most common reason for failure was removed before the delivery even started.
• 02
  AI consistency outperforms human consistency on volume work

  Human agents vary in energy, script adherence and call quality. Futwork's Voice AI does not. Every lead received the same message. Every call produced structured data that synced back to Shipping with Amazon automatically. At scale, that consistency compounds.
• 03
  Human agents close more when they stop doing repetitive work

  When agents focused only on complex cases that needed real judgment, their close rates improved. The Voice AI did not replace them. It cleared the queue so they could do the work that actually required a person. That is the only arrangement where both the AI and the human perform at their best.