Field Notes

The problem with estimated delivery data

Carriers will send you a spreadsheet of estimated delivery dates: this many days per zip code, per service tier. It looks authoritative.1 Then you build a rule on top of it, and the gap between the estimate and reality shows up at your customer's door.

Here's how that played out on a real program.

A five-day rule that wasn't

We were helping a brand whose carrier had three service tiers:

  1. A 2 to 3 day service. The fast, expensive option.
  2. A 2 to 5 day service. The middle tier.
  3. A 3 to 8 day ground service. The cheap option.

In ShipStation, we set a simple rate-shopping rule: for each package, pick the cheapest tier whose estimated delivery date lands in five days or less.

The logic is sound. For a Los Angeles to Los Angeles package, the 3 to 8 day ground service usually estimates inside five days, so the rule picks the cheap option. For Los Angeles to New York, ground won't make it, so the rule steps up to a faster tier. Set the five-day limit once and the software handles the tradeoff on every order.

That's the theory. In reality, a meaningful share of packages took six, seven, even eight days.3 The estimate said five. The customer waited longer.

Why the estimate drifts

Carriers are incentivized to quote delivery estimates faster than they actually perform. The faster the estimate, the more often they clear rules like ours and win the shipment.

And when a carrier hands you a list of zip codes with estimated days per lane, almost nobody stops to ask the question that matters: how is this number actually calculated? It could be any of these, and the spreadsheet won't tell you which:

  1. All-time performance in that zip code.
  2. Recent performance, say the last three months.
  3. Aspirational performance, the target rather than the result.
  4. Best-case performance, what happens when nothing goes wrong.

Each produces a very different number for the same lane, and you're handed one label with no footnote.

Where it gets worse: alternate carriers

This is most acute with the newer regional and alternate carriers, and it comes down to how their networks are built. They rarely launch at full coverage. A carrier might start at fifty percent of zip codes and work toward one hundred, expanding into new areas as they go.4 That means there are always fringe zip codes where they've only just started operating and don't yet have the volume to run the lane efficiently.

In those areas, your package waits. Instead of sending a truck out twenty percent full, which is a money loser for them, the carrier sits on the inventory until there's enough volume to make the trip worth it. I've watched this happen firsthand: packages delayed up to two weeks because a carrier had low volume in an area after an external event, and chose to wait for the truck to fill rather than eat the cost of shipping it light.

Here's the part that should bother you. The carrier pays no real consequence for that delay. The brand does. The brand and its customers take the reputational hit while the carrier protects its own margin.

The performance toggle

What these carriers don't advertise is that they have a dial. When they need to save money, they can quietly slow their service down. Not so much that it's obviously broken, just enough to be more profitable. If you're a brand or 3PL that isn't watching closely, you absorb it twice: you pay more than you should, and your customers experience a slower delivery than they were promised.

The carrier you ship with, and the quality of service they actually deliver, is a direct extension of your reputation. Treat it that way.

What to do about it

Two moves, depending on how much speed matters to you.

First, ask what the estimate actually represents, and hold the data accountable.2 As your fulfillment and delivery advisor, we independently check carrier delivery estimates against what actually happened, lane by lane, so the numbers feeding your rate shopping reflect real transit times rather than convenient ones.

Second, build in slack. Assume the estimate runs optimistic by a day or two. If you set a four-day limit, expect some share of packages to land in five or six. Set a five-day limit and some will take six, seven, or eight. Pick your rule knowing the tail exists.

And if speed is critical to your business, don't bank on an estimate at all. If you ship cold-storage product that has to arrive in two days, a carrier's optimistic guess is not where you want to take the risk. Unless there's a money-back guarantee attached to that delivery date, the estimate is marketing, not a commitment. Don't bet the business on it.

The question to keep asking is the one the spreadsheet won't answer: estimated based on what?

References

  1. USPS Ground Advantage: delivered in 2 to 5 business daysUSPS
  2. Service Performance Results, measured speed and reliabilityUSPS
  3. Large parcel carriers' on-time delivery, by carrier (ShipMatrix data)FreightWaves
  4. Active Coverage: ZIP-code coverage and 2026 activation listVeho

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