Return-to-stock time: how to measure it

The definition.

Return-to-stock time is measured per unit, not per return. The clock starts when a processor scans the unit at the bench and stops when the unit is put away in a bin, or routed to its disposition if it is not going back to stock. Everything in between counts: finding the merchant's rules, inspecting, taking photos, deciding the disposition, printing a label and walking it to the shelf.

It does not include time in the receiving queue, time in transit, or time a unit spends out at a repair bench. Those are real costs, but they are different numbers with different causes.

The formula.

return-to-stock time = (put-away timestamp) minus (scan timestamp), per unit
monthly figure = the mean of those, over every unit completed that month

Exclude sessions that were opened and abandoned, otherwise one forgotten tablet adds hours to the average. Report the median next to the mean; a handful of repairs can drag the mean a long way.

How to measure it in any system.

Pick one merchant and one bench for a week. Mixing merchants hides the effect of their different rules.
Record two timestamps per unit: the scan that opens it and the action that closes it. If your system only timestamps the return, not the unit, note the number of units and divide.
Drop any unit that was open for more than an hour. That is a break or a lost tablet, not processing.
Take the mean and the median across the week. Write them down with the date and the merchant.
Change one thing, run another week, and compare. Only one change at a time, or you will not know what moved the number.

If your system cannot give you the two timestamps, a stopwatch and a tally sheet for two hours a day will get you within ten percent, which is enough to know where you stand.

What moves it.

In our experience at the bench, five things account for most of the difference between a slow bench and a fast one:

The merchant's rules on the screen. When the issues, photo requirements and dispositions come from the merchant's own rules and sit on single keys, nobody consults a binder or a Slack thread.
Photos only where required. A photo for every unit costs twenty seconds each. A photo where the rule asks for one costs nothing on the units that do not need it.
A recommended disposition. If the rules already say what a stained item becomes, the processor confirms instead of deciding.
The bin, prefilled. Looking up where a SKU lives is the slowest step on many benches. Prefilling it from the last known location removes it.
No write-up afterwards. If the record is captured while the work happens, the second pass to type it into the WMS disappears.

One measured figure.

A client 3PL running 3,000 returns a month measured 1 minute 45 per unit before Reverso and 40 seconds after, from the product's own timestamps, averaged over the month. Everything we derive from that (65 seconds saved a unit, roughly 34 returns an hour becoming 90, about 54 hours a month back at that volume) is arithmetic, and we label it as such wherever it appears.

We do not quote an industry benchmark because we have not seen one measured the same way across enough 3PLs to trust. If you measure yours, we would like to hear it. The demo request asks for exactly that number.

Questions.

Is return-to-stock time the same as processing time?

Not quite. Processing time often means everything from the parcel arriving at the dock to the return being closed, including waiting in a queue. Return-to-stock time is only the hands-on part: from the moment a processor scans the unit to the moment it is on the shelf or routed elsewhere. Queue time is a separate number worth tracking on its own.

What is a good return-to-stock time for a 3PL?

There is no published industry benchmark we would stand behind, so be careful with any vendor who quotes one. The useful comparison is your own number before and after a change. The one figure we can vouch for: a client 3PL running about 3,000 returns a month measured 1 minute 45 per unit before Reverso and 40 seconds after, from the same timestamps.

Should I measure per unit or per return?

Per unit. Returns vary from one item to six, so a per-return average moves with order size, and says little about the bench itself. Per-unit hands-on time is stable enough to compare week to week, and it is what a merchant SLA is really about.

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