Delivery speed is an RTO lever

Of all the findings in Shipway's FY25 shipment data, the most actionable is about time. Orders attempted within 1 to 2 days of shipping returned at 22%. Orders attempted in 3 to 5 days returned at 27%. Orders attempted after more than 5 days returned at 35%. The longer a COD parcel is in transit, the more likely it comes back.

One caution before treating that as a lever: these are correlations inside one platform's shipment data. Slow lanes also concentrate the farthest and least urban addresses, which fail for their own reasons, so the 22-to-35 gradient overstates what speed alone would buy. The safe reading is that transit time and failure travel together.

A COD order is a promise with no deposit. The customer's commitment is weakest at the moment of delivery, and it decays.

In the first two days, the purchase is fresh. The customer remembers ordering, still wants the product, and has not spent the money elsewhere. By day five, three things have happened. The impulse has faded, especially for the mid-value discretionary buys that dominate D2C. The cash earmarked for the parcel has been spent on something else. And doubt has crept in: a brand that takes a week to deliver does not feel trustworthy at the door.

There is also a mechanical layer. Long transit means more handling, more hub transfers and more chances for the address problem or the contact problem to bite.

The shipment data points at geography. Intra-city shipments returned least in Shipway's analysis; inter-state non-metro shipments returned about 27%, and special zones (the North East, Jammu and Kashmir) about 28%. Distance is time. A brand shipping from one warehouse to the whole country is implicitly accepting longer transit, and higher RTO, for its farthest customers.

Measure speed as an RTO variable, not a service metric. Average delivery time usually gets filed under customer experience. Re-cut it: what is your RTO rate by days-to-first-attempt? If your curve looks like Shipway's, slow lanes are costing you real money.

Fix the slowest lanes first. Sort your pincodes by transit time. The worst decile is where the RTO concentrates. Options by cost: allocate those lanes to a faster courier, split inventory to a closer warehouse or 3PL, or restrict COD in lanes where the economics never work.

Watch promise inflation. Slower lanes also produce more "customer not available" failures, because a customer expecting a parcel on Tuesday plans around Tuesday; a parcel arriving Friday finds nobody home. Accurate delivery promises on the product page reduce the mismatch.

Speed costs money, so this is an optimisation, not a crusade. The point is that freight spend and RTO spend are the same budget. Money spent moving a parcel faster can return more than it costs in avoided returns, and you can only see that if you measure the two together.