# Shipium named in 2026 Gartner® MCPMS Market Guide

[Download Report](https://www.shipium.com/gartner-mcpms-2026)

# Meet the ship-ai suite of models

Customers model and predict the speed, cost, and accuracy of their shipping in real-time with Shipium’s unique machine learning capabilities.

## How Shipium's Machine Learning Works

The `ship-ai-transit` model predicts days-to-delivery, or the number of business days it takes for a shipment to go from origin to destination.

The `ship-ai-cost` model compares fully-loaded carrier rates — including surcharges and accessorials — to find the most cost-effective carrier for each shipment.

The `ship-ai-volume` model predicts daily volume and manages allocation to ensure that volume commitments are met at the lowest possible cost.

## Shipium’s platform is built atop a suite of enterprise machine learning models that help shippers manage the complexity of modern supply chains. By combining deep domain expertise with an industry-leading data science program, we enable shippers to continuously move toward their desired mix of speed, cost, and accuracy.

## Shipium is powered by 10+ machine learning models to support every use case.

## Here are the most widely used.

`ship-ai-transit model`

### Improve Upstream Decisions and Delivery Accuracy

The `ship-ai-transit` model predicts days-to-delivery, or the number of business days it takes for a shipment to go from origin to destination.

`ship-ai-cost model`

### Drive More Accurate Rate Shopping

`ship-ai-volume model`

### Manage Carrier Volume Allocation

The `ship-ai-volume` model predicts daily volume and manages allocation to ensure that volume commitments are met at the lowest possible cost.

## More Aggressive Delivery Estimates, While Maintaining Enterprise Accuracy

### Our models predict faster transit times compared to carrier service SLAs for the same ground method in 40% of cases

### Shipium’s flexibility helps us optimize for what’s best for Duluth while still getting the benefits of automation across all our shipping operations.

Brad Comstock

Sr. Director Enterprise Technology,

Duluth Trading Company

### 99.1%

OTD during 2024 Peak

### 11%

Reduction in Late Deliveries, 2025 YTD

## From complexity to control. Meet Shipping AI.

[Watch video](https://player.vimeo.com/video/1134474068?badge=0&autoplay=1&autopause=0&player_id=0&app_id=58479)

## Ready to infuse AI into fulfillment operations?