Uncovered $200 million in lost revenue
Behavioral insights lead to $32M recovered
When I joined the project team improving a Fortune 10 pharmaceutical distributor's ordering experience, I didn't anticipate the complexity. What seemed like a straightforward digital problem turned out to be a nuanced case study in customer adaptation to unintended systems.
This global healthcare services giant, one of the largest pharmaceutical distributors, built an empire supplying drugs and medical supplies to pharmacies, hospitals, and healthcare providers worldwide. Their distribution network formed the foundation of their business model, supplemented by medical-surgical supplies, logistics services, and healthcare technology solutions including pharmacy management software.
Despite their market dominance, something wasn't adding up. Orders were being abandoned at high rates, and no one could explain why.
"We knew customers weren't completing orders, but we couldn't see the behavioral patterns causing it."
The revenue implications were significant, over $200 million annually.
The problem wasn't just technical. Global logistics challenges created a complex environment where customers developed workarounds for inventory shortages. They used the ordering platform in ways its designers never anticipated, parking orders to monitor stock availability and leveraging competing platforms for better pricing.
Our cross-functional team, which included a product manager, data analyst, UX researcher, and product designer, approached this challenge methodically. We needed to understand not just where customers were dropping off, but why they were creating alternative pathways through the system.
The breakthrough came when we stopped assuming customers followed our ordering flow. Instead, we used behavioral analytics to map actual user journeys, revealing five unintended pathways that accounted for 71% of backordering activity.
"It was like discovering secret passages in a house you knew. These customers were resourceful in response to unmet needs."
A revealing pattern emerged around the backordering process. Customers discovered they could use this feature not as intended – to secure out-of-stock items – but as a price-monitoring tool. They placed items in backorder status, then periodically checked for better pricing from competitors before finalizing their purchase.
We uncovered the reasoning behind this behavior through qualitative interviews. One pharmacy manager said: "We're operating on razor-thin margins. When we need to order fifty different medications, even small price differences accumulate. The system wasn't giving us what we needed, so we created our own solution."
With this understanding, we shifted our approach from fixing "user errors" to addressing legitimate unmet needs. The solution required strategic improvements and tactical design changes.
The implementation faced challenges. Legacy systems needed careful modification, and internal stakeholders needed convincing that unintended user behaviors weren't "wrong" but valuable signals about market needs.
The results were clear. System usability scores improved from "problematic" to "useful", a significant leap in an industry not known for user experience.
The business impact was substantial. Through targeted improvements with a clear pathway to recapture the remaining leakage.
What struck me most about this project was the significant financial impact. It illustrated a fundamental truth about digital experience design; users will always find ways to make systems work for their needs, regardless of designers' intentions.
In enterprise systems, understanding adaptive behaviors isn't just about improving user experience; it's about uncovering hidden business opportunities. By recognizing and designing for these rather than against them, we transformed a technical problem into a strategic advantage.
Reflecting on this project, I'm reminded that the most valuable insights come not from watching users follow our intended paths, but from observing where and why they forge their own. The solution to revenue leakage and the opportunity for real innovation lies in the gap between designed intention and actual use.
The lesson is clear for businesses facing similar challenges. Don't just analyze where your digital experience is failing; study how users are adapting. Their workarounds aren't the problem; they're the initial version of your solution.