Perform.AI vs AfterShip: Delivery Performance Reporting
Perform.AI vs AfterShip: Compare carrier and delivery performance reporting for enterprise e-commerce operations.
AfterShip's help center (read 15 October 2026) describes an analytics dashboard, on-time shipment analytics and an AI agent for performance questions. Perform.AI's AI Decision Intelligence page describes SLA monitoring against a brand's own working days and cut-off times. For a buyer, the question is which date "on time" is measured against, and how a drop is traced to its cause.
What does AfterShip Analytics show?
AfterShip's help article on getting started with AfterShip Analytics, read on 15 October 2026, says: "Explore the power of AfterShip's analytics, offering you a window into your shipping performance through an interactive dashboard." The article lists it under its Essentials, Premium and Enterprise plans.
How does AfterShip measure on-time delivery?
AfterShip's help article on improving delivery performance with on-time shipment analytics, read on 15 October 2026, says the report can "Identify which carriers, lanes, or time periods show performance drops". The same article says: "By default, the dashboard uses Original EDD."
Which estimate a brand's "Original EDD" comes from, and whether it can be switched to the date shown at checkout, is worth confirming in a demo: it decides what "on time" means in every report. AfterShip's on-time article (15 October 2026) lists the feature under its Premium and Enterprise Advanced plans.
How does AfterShip Agent help explain a change in performance?
AfterShip's help article on analyzing shipment performance with AfterShip Agent, read on 15 October 2026, says: "You can compare periods, find which carriers or destinations drive a change, and turn your findings into a report for your team." That is a conversational route into e-commerce analytics, alongside the dashboard.
How does Perform.AI report on carrier and delivery performance?
Perform.AI's AI Decision Intelligence page says: "Monitor every warehouse and carrier SLA in one view" and "Define the rules your business runs on: working days, cut-off times, public holidays". It adds: "Every breach comes with a Root Cause Analysis, so you skip the investigation".
The same AI Decision Intelligence page says: "Delivery, returns and logistics connect to the same data set, so you can see how transit times impact return rates."
Questions to ask any delivery analytics vendor
Which date is on-time measured against: the first estimate, the latest one, or your own checkout promise?
Can results be broken down by carrier, country, lane and service level?
How is a drop traced to its cause?
Can I set my own working days and cut-off times?
Which plan carries each report, and how much of the data can I export?
Perform.AI sells through a demo, with no public price list. To see how Perform.AI reports on your carriers' delivery performance, book a demo.
Frequently Asked Questions
What does AfterShip's on-time report measure against by default?
AfterShip's help article on on-time shipment analytics, read on 15 October 2026, says: "By default, the dashboard uses Original EDD."
Can Perform.AI use a brand's own working days?
Perform.AI's AI Decision Intelligence page says brands can "Define the rules your business runs on: working days, cut-off times, public holidays".
