Giving brands and shoppers the confidence of knowing exactly when every order will arrive.
Florence, Milan, Italy — May 29, 2026 — Today we unveil ShippyPro Deliver Prediction, the new machine learning system that estimates the exact delivery date of any shipment before the order is shipped, opening new possibilities for merchants.
For years, giving customers an accurate delivery date has been a privilege reserved for a few, while most brands were forced to rely on vague promises like “delivery in 3–5 business days.”
The new prediction engine empowers any brand to provide precise delivery dates before an order is even placed — creating a more delightful customer experience and unlocking entirely new possibilities across the shopping journey.
The Possibilities It Opens Up
Being able to estimate the delivery date of an order before it’s even shipped allows brands to communicate with precision from the very beginning.
More accurate delivery promises at checkout reduce uncertainty, increase conversion rates, and set the right expectations from day one. When those expectations are consistently met, customer trust grows, driving repeat purchases and lowering support requests.
It also changes how brands operate internally. With reliable delivery predictions, teams can automate key decisions across the customer journey — from selecting the right carrier for each shipment, to triggering proactive customer communication, to handling exceptions before they escalate.
Under the hood
ShippyPro Delivery Prediction is built on hundreds of millions of real shipments processed through ShippyPro. It learns from how deliveries actually happen, across carriers, routes, countries, and time — instead of relying on static estimates or generic rules.
Every shipment is different, and the ShippyPro Delivery Prediction reflects that. It takes into account multiple factors like carrier performance, route behavior, timing, and external conditions to generate a precise delivery date. As the shipment moves, predictions are continuously updated to reflect what’s really happening.
The system can also detect when something isn’t going as expected, often before a delay becomes visible. This gives teams the ability to act earlier, manage expectations, and reduce uncertainty for customers.
Availability
Already running in beta within the ShippyPro platform, Delivery Prediction will soon be available to all customers and across all products, with API access coming next.
To see it in action, visit www.shippypro.com or book a demo with the team.
Bringing AI and Agentic to the Shipping World
Over the past two years we've been bringing AI to shipping with solid, working use cases and solutions.
Optimizer gives brands full visibility and control over their distribution performance — tracking key metrics like exception rates, delivery performance, and costs, and helping teams continuously improve.
Automation enables teams to build workflows powered by AI that take action at scale, reducing manual work and eliminating hours of repetitive intervention.
Carrier Invoice Analysis identifies refund-eligible billing errors across shipments, at a scale and accuracy no manual review process can match.
Delivery Prediction is the first machine learning model we’re building, and it will become the foundation for everything that comes next — a new layer of intelligence that future products and capabilities will be built on top of.
Media Contact: [email protected] - www.shippypro.com