Perform.AI vs parcelLab: delivery promises

A delivery promise is only worth showing if it holds. This page sets out what parcelLab's own pages, read on 13 October 2026, say about its delivery date predictions, how they compare with Perform.AI's, and the questions to ask any vendor before a date goes on your product page.

Where does parcelLab show a shopper a delivery date?

parcelLab's "boost cart conversion" page, read on 13 October 2026, says retailers can "Eliminate purchase hesitation with AI-powered, real-time delivery predictions displayed on product pages, cart, and checkout." parcelLab's Promise documentation, read the same day, says its Promise API displays delivery date predictions based on a retailer's distribution setup and operational constraints.

What data does parcelLab's prediction use?

parcelLab's "set predictive delivery promise" page, read on 13 October 2026, says it uses data points such as zip codes, carrier metrics and warehouse processing times, and that these deliver 92% accurate promise dates. Its Promise documentation, read the same day, says merchants pass tracking records that include the carrier service level and the warehouse identifier.

On the shopper's location, parcelLab's Promise documentation, read on 13 October 2026, says, for a confirmed country and postal code: "Use this destination ahead of saved choices or an IP estimate."

How does parcelLab keep the date after checkout?

parcelLab's Promise documentation, read on 13 October 2026, tells merchants to "Save the date you show when the shopper places the order so that later communications use the same promise." parcelLab's delay-prediction page, read the same day, says its machine learning predicts 90% of delayed shipments by comparing real-time and historical data against the announced delivery date.

How does Perform.AI set and keep a delivery date?

Perform.AI's estimated delivery date is trained on how a brand's own warehouses and carriers perform, with network data from 1,100+ global carrier integrations, and it is shown at checkout as a single date. The same date then carries into the confirmation email and the tracking page.

What should a retailer check before showing a date on the product page?

Start with where the clock starts. A date that begins at carrier collection leaves out picking, packing and the daily cut-off, which is often where a promise is lost. Ask any vendor whether warehouse processing time and cut-offs are part of the calculation, and how they are kept up to date when a warehouse changes its shifts or a peak week starts.

Then check where the shopper's location comes from. A confirmed postal code is better than a guess from an IP address, but on a product page many shoppers have not entered one yet. Ask what the page shows before the shopper gives an address, and whether that first date is marked as an estimate.

How should a retailer judge an accuracy figure?

An accuracy percentage only means something once you know what was counted. Ask whether an early delivery counts as a hit, which period and markets the figure covers, and whether it was measured against the date shown on the product page or the date in the confirmation email. Two vendors can quote similar numbers while measuring very different things.

Ask too for the figure on lanes that look like yours. A national average can hide a weak lane in exactly the region you sell most into.

Should the product page show a single date or a range?

A single date is easier for a shopper to plan around, but it is also easier to break. A range feels safer for the retailer, yet a wide one ("3 to 7 days") tells the shopper very little and can cost the sale. The honest answer depends on how confident the prediction is for that lane.

Ask whether the vendor lets you choose per market or per carrier service, and whether you can set how much buffer to add. A brand that ships next day in its home market and slower across borders may want a single date at home and a short range elsewhere. Whatever you choose, test it on real traffic before rolling it out, so you know what the date does to conversion rather than guessing.

What happens when the date slips?

Every promise will miss sometimes. What matters is how early the shopper hears about it and whether every system tells the same story. Ask whether a predicted delay updates the tracking page and triggers a message before the shopper has to ask, whether customer service sees the same new date, and whether the shopper can choose a new delivery slot where the carrier supports it.

Questions to put to any delivery promise vendor

• Does the date include warehouse processing time and daily cut-offs, or only carrier transit?

• What does the product page show before the shopper has entered a postal code?

• How is accuracy measured, over which period and markets, and do early deliveries count as hits?

• Is the date saved with the order, and does the same date appear in every later message?

• What happens on the tracking page and in messages when a delay is predicted?

To see how Perform.AI sets and keeps a delivery date for your warehouses and carriers, book a demo.

Frequently Asked Questions

Where does parcelLab show a shopper a delivery date?

parcelLab's "boost cart conversion" page, read on 13 October 2026, says its delivery predictions are "displayed on product pages, cart, and checkout."

What does a retailer send parcelLab to get a date?

parcelLab's Promise documentation, read on 13 October 2026, says merchants pass tracking records that include the carrier service level and the warehouse identifier, and that a confirmed country and postal code should be used "ahead of saved choices or an IP estimate."

How does parcelLab keep the date after checkout?

parcelLab's Promise documentation, read on 13 October 2026, tells merchants to "Save the date you show when the shopper places the order so that later communications use the same promise."

What should retailers ask any delivery promise vendor?

Whether the date includes warehouse time and cut-offs, what shows before an address is entered, how accuracy is measured, whether the date is saved with the order, and what happens when a delay is predicted.