This case study examines CVS's prescription fulfillment performance through the lens of the Cycle of Capability framework. Using customer complaint data, the paper constructs a Pareto chart identifying insurance checks and pickup issues as the most frequent problems, then develops a cause-and-effect fishbone diagram and a service blueprint of the current fulfillment process. The analysis pinpoints front-end bottlenecks — particularly at drop-off, data entry, DUR, and insurance verification — and proposes a revised workflow that consolidates these steps under a specialized employee role. Specific recommendations are grounded in process redesign and information technology integration to reduce customer dissatisfaction and improve order accuracy.
CVS operates in a uniquely demanding service environment — one in which people's lives may literally be at stake. Drug-to-drug interactions can have serious consequences for consumers, and customers typically have low tolerance for waiting when it comes to filling prescriptions. As a result, CVS's fulfillment process must be both flawless and efficient.
The company was losing customers due to significant service problems. During a typical eight-hour shift, 40% of customers voiced a complaint, and approximately 16% experienced some problem at pickup. One of the greatest operational challenges was the insurance verification and data entry steps, both of which slowed the overall fulfillment process considerably. As one internal observation noted: "Well, we can't have 67 solutions for the 67 problems identified."
Using the service issue data from Exhibit 2, the following table summarizes the frequency and relative proportion of customer complaints across each stage of the fulfillment process. A Pareto chart built from this data highlights that insurance check and pickup together account for 80% of all complaints — the classic "vital few" problems that operations improvement efforts should prioritize.
Insurance check and pickup are clearly the dominant complaint categories, each accounting for 40% of all reported issues. These two areas are the logical focus for process improvement efforts.
For the most frequent complaint items — insurance check and pickup, which are tied at 40% each — a cause-and-effect (fishbone) diagram can be used to map the root causes of these failures. Typical causal branches for insurance check problems include incomplete or outdated patient insurance information, system delays in verifying coverage, staff unfamiliarity with insurer requirements, and the absence of the customer during verification to resolve discrepancies in real time. Pickup problems similarly trace back to unresolved upstream issues — particularly insurance failures and data entry errors that are not caught until the customer arrives to collect their prescription.
The current prescription fulfillment process at CVS flows through six sequential stages:
This linear sequence means that problems arising in the middle stages — particularly insurance check — are often not discovered until the customer attempts pickup, creating frustration and dissatisfaction at the final touchpoint.
The primary bottlenecks appear at the front end of the fulfillment flow. Once an order reaches production, the production, QA, and pickup stages can generally operate with relative efficiency. However, the drop-off, data entry, DUR, and insurance check stages are all prone to causing pharmacy-wide delays.
A particularly significant example involves prescription refills. If no refills remain on a prescription, obtaining authorization from the prescribing physician can take an average of one full day. This creates a situation in which customers arrive expecting their prescription to be ready, only to discover that an unresolved upstream issue has prevented fulfillment entirely. The customer is surprised, dissatisfied, and the pharmacy's credibility is damaged — all because the problem was not identified and communicated at the point of drop-off.
"Consolidated drop-off specialist role proposed"
"Process redesign and technology integration recommendations"
You’re 44% through this paper. Sign up to read the remaining 2 sections.
Sign Up Now — Instant Access Already a member? Log inAlways verify citation format against your institution’s current style guide requirements.