Your 3PL Has the Data. But What Are They Doing With It?
Every order tells a story. Some reveal which products are gaining momentum, others expose seasonal purchasing habits, and a sudden shift in demand may signal an opportunity that a brand has yet to fully recognize.
Inside a fulfillment center, those patterns carry enormous significance. They influence staffing decisions, inventory placement, transportation planning, and the ability to deliver on customer expectations.
Yet collecting information and putting it to meaningful use are two very different disciplines.
At Barrett Distribution Centers, data analytics plays an important role in connecting the daily realities of warehouse operations with the broader ambitions of the brands they serve.
Turning Information Into Better Decisions
Consider the planning required before a busy sales period. A brand anticipates increased demand, but the warehouse must translate that expectation into practical decisions about labor, inventory, and order processing.
Jordan Johnsen of Barrett's data analytics team identifies forecasting as one of the most valuable applications of operational data.
“The better labor plan we have, the better we're going to make sure we have the right people in the right place to get that product out the door.”
Historical order patterns, anticipated promotions, and seasonal fluctuations help inform those preparations. Barrett also monitors employee productivity to better understand how work progresses throughout the facility.
Together, these insights allow teams to approach fulfillment with greater precision, allocating resources according to the demands of the operation rather than relying exclusively on assumptions.
The Numbers Can Strengthen the Partnership
Data also has a less obvious application: improving communication between a brand and its fulfillment provider.
Disagreements about performance, capacity, or costs can become difficult to resolve when each party approaches the conversation with different assumptions.
Johnsen believes shared information creates a more productive foundation.
“If two smart people get together and we're looking at the same data, we're going to come to somewhat the same conclusions.”
His perspective reflects a commitment to transparency, including the willingness to examine information that may reveal shortcomings.
A meaningful business review should accomplish more than celebrate favorable metrics. Examining unexpected results, identifying their causes, and agreeing on a course of action can strengthen the relationship between a brand and its 3PL.

Finding Savings Beyond the Obvious
Some of the most valuable improvements emerge from examining established processes with fresh evidence.
Johnsen describes how Barrett's analytics and engineering teams collaborate on improvement initiatives, including kaizen events conducted with warehouse teams and customers. By introducing real-time data into these discussions, the teams can identify opportunities to change existing processes and evaluate their financial impact.
According to Johnsen, savings generated through these efforts are often passed along to customers through reduced rates or adjustments to their agreements. The underlying philosophy is straightforward: as the operation develops, the customer should have opportunities to benefit from what the team learns.
For brands evaluating a prospective 3PL, this raises an important consideration. A provider's analytical capabilities deserve attention alongside its physical infrastructure, technology integrations, and fulfillment experience.
Warehouse performance is constantly producing information. Greater opportunities lie in having people who can interpret it, challenge established assumptions, and translate their findings into meaningful improvements.







