SE
Shipping Execution
Rating Engine

Select carriers and execute with complete confidence

Use industry-leading ML modeling to qualify and select the right carriers for every shipment.

Reduce execution costs

Consistently select more cost-effective carriers and service methods without compromising the customer experience.

Keep customer promises

Generate more reliable transit time predictions that help more shipments make it to customers’ doorsteps on-time.

Continuously improve outcomes

Benefit from a closed-loop process that uses executed shipment data to train models and further improve predictions.
Solution Highlights

What Shipium’s Rating Engine offers shippers

Optimize carrier and service selection

Stop manual data entry and start automatically ingesting invoices from all your carriers.
ML-powered rate + date shopping optimization and execution
Automated selection of non-guaranteed methods when they’re predicted to meet your dates
Carriers are selected based on historical performance and real-world factors (ex. Carrier bulletins, weather events)
Shipium customers experience 12% savings on average

Compare costs accurately and reliably

Internal rating provides invoice-accurate cost estimation
Rate structures are normalized across carriers
No reliance on carrier API availability
Carrier selection data can be used for rate cost breakdowns and selection analytics

Integrate with 60+ carriers

Leverage national, regional, and same-day carriers
Add new carriers in hours, not weeks
Shipium’s network covers 99.2% of North American parcel shipments
RATE SHOPPING MATURITY MODEL

Do you have a modern approach to parcel management?

From our point of view, Shipium’s multi–carrier parcel management solutions solve the challenges of real time rate shopping, making it one of the more mature options in the market. We see ourselves as achieving high level of rate shopping maturity through the way that we model out cost and speed together for a fully dynamic and optimized selection using predictive data science.
Stage
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Initial
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Advanced
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Dynamic
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Optimized
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Predictive
Use Cases

How Shipium’s customers use smarter carrier selection to drive better business outcomes.

Intelligent Service Selection

Opt for more cost-effective services when models predict they’ll arrive on-time
Use expedited services when shipments are at risk of missing your desired date

3rd-Party Fulfillment

Relay desired dates to 3PLs or dropshippers to ensure on-time delivery
Share optimal carrier and service recommendations with external partners

Managing Volume Spikes

Use Shipium’s modeling to predict and avoid carrier delays during high-volume periods
Proactively shift volume to better-performing carriers

Optimizing Carrier Performance

Identify underperforming carriers in specific regions or for certain services
Leverage more reliable options for qualified shipments
How it Works

Here’s an overview of Shipium’s carrier selection process.

01

Eligibility Check

First, the system evaluates shipments’ properties to determine which carriers and services are eligible to handle them.
01
Package-level details, like hazardous materials
02
ZIP-Zone delivery areas
03
USPS requirements (APO, P.O. Box)
02

Date Shop

You then have the option to set a date constraint, such as the delivery promise you’ve made to a customer.
01
Provide a desired delivery date so Shipium only rate shops across carriers that can hit it
02
Alternatively, use business days of transit (BDOT), which allows for selection based on origin FC operating day calculations
03

Rate Shop

Once constraints are established, Shipium rate shops across eligible carriers.
01
Rating Engine accounts for your business rules — for example, always prioritizing delivery speed over cost reduction
02
Shipium’s rates account for contracted discounts, surcharges, and accessorials for more accurate cost comparison
03
Support for rate shopping without label creation as-needed
04
Once a carrier and service are selected, Label Engine provides a compliant label
04

Volume Balancing

Carrier volume allocation is monitored on an ongoing basis to ensure you’re meeting your contractual commitments.
01
Volume allocation is monitored on an hourly basis
02
The ship-ai-volume model predicts the day’s volume based on trends
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Cost modifiers prevent over or underutilization
Key Models

The predictive engine that powers carrier selection

The ship-ai suite of models use your data, platform-wide data from 350+ million shipments, and real-world considerations to help you select the right carriers and services for every shipment.

ship-ai-transit

This model predicts days-to-delivery, which is the number of business days a shipment takes to go from origin to destination.

ship-ai-cost

Uses your desired delivery dates to compare fully-loaded rates across eligible carriers, allowing you to select the most cost-effective rate.

ship-ai-volume

Monitors volume hourly to predict daily volume and manage allocation in accordance with your carrier contracts.

Customer Success Story

Carriers, partners, and analysts agree — Shipium is setting a new standard for fulfillment technology.
We now have the premium shipping experience to complement our incredible shopping experience that sets Saks OFF 5TH up to be an ecommerce leader.
— Shivi Shankaran,
Chief Operating Officer
Gain complete operational control

Shipium provides the tools you need to measure and manage performance

Focused on improving carrier selection outcomes?