Optimizing Freight Spend:
What top shippers are doing to look beyond cost

Learn how top shippers optimize their freight spend from Amy Elgart, Lead Product Manager

Freight procurement is a complex puzzle, and understanding how to optimize costs is just the starting point. In this educational discussion, we dive deeper into the strategies top shippers are using to balance cost with other critical objectives.

Amy, our Group Lead Product Manager, explains how shippers leverage business rules—known as constraints—to fine-tune their freight strategies and achieve their unique business goals.

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Question 1

Let’s start simple. How do shippers “optimize” their transportation spend?

There are two main ways to approach it:

  1. Lowest Cost Scenario: This one’s straightforward—allocate as much volume as possible to the lowest-cost participant. If they can’t cover it all, the next lowest-cost participant steps in, and so on.
  2. Rule-Based Scenario: Same idea, but with extra layers. Here, you apply business rules (we call them constraints) to decide who gets what. These rules might include prioritizing certain carriers, meeting service requirements, or spreading volume across participants.

    EmergeAI takes this a step further by using machine learning to analyze the most efficient allocation of volume based on your rules. It suggests the optimal carriers, taking into account factors like cost, capacity, and service levels, helping you make data-driven decisions while saving time on manual assessments.
a screenshot of the cost optimization capabilities of Emerge's logistics platform
Question 2

Why wouldn’t you want to just always use the lowest cost possible?

It’s actually rare for our shippers to only focus on Lowest Cost. Most use a hybrid approach: run a Lowest Cost Scenario first, then layer in rule-based constraints to fine-tune the results because each shipper has unique needs for their business they need to account for like maintaining relationships or achieving high levels or service.

a screenshot of the ai powered spend modeling capabilities of Emerge's freight procurement logistics platform
Question 3

How do constraints help you build a comprehensive strategy?

Constraints let you tailor your freight decisions to fit your business needs. They help you go beyond just cost savings and focus on priorities like working with specific carriers, meeting certain service standards, or spreading your volume across multiple providers.

Think of it like setting the rules to make sure you're getting exactly what you need out of your freight procurement, whether that’s keeping a certain carrier involved or balancing capacity more effectively. Constraints help you keep everything in line with what you're trying to achieve.

Question 4

So constraints are like guard rails to make sure you are getting the best price given a bunch of requirements?

Yes, you might create a rule to “favor incumbents” or “only award lanes to carriers offering special services.” Which might mean paying above the lowest rate on some lanes, but worth it for the strategic benefits.

Here’s the thing: Analyzing these constraints would be really complex if you were doing it with spreadsheets and emailed responses.

With ProcureOS, this isn’t an issue. All responses are centralized in one location, and EmergeAI guides you through building constraints, helping you quickly identify and resolve any issues so everything runs smoothly.

a screenshot of the spend optimization capabilities of Emerge's logistics platform
Question 6

What kind of constraints are shippers using the most?

Over the past six months, we’ve seen three big ones:

  • “Only award to specified participants”: Usually used for prioritizing incumbents or carriers with unique capabilities.
  • “Allocate volume”: Popular for high-volume lanes to spread out risk.
  • “Favor specified participants”: A great way to reward loyalty or maintain strong relationships.

Some shippers get more specific, like awarding more participants on high-volume lanes or setting rules for special services like white-glove delivery.

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