Software Engineering
IBM Capture Professional
ECM Platform Update
Harris Teeter
Harris Teeter, a subsidiary of The Kroger Co., traces its roots back to 1960 when it was co-founded by North Carolina grocers W.T. Harris and Willis Teeter. Today, Harris Teeter boasts a presence across seven states and the District of Columbia, operating more than 250 stores and 60 fuel centers.
As one of the most recognized supermarket chains in the southeastern United States, Harris Teeter operates over 250 locations and 60 fuel centers across seven states and the District of Columbia. But scale alone doesn’t future-proof a business. Behind its expansive footprint, the organization was contending with the invisible friction of legacy systems—specifically, an outdated ECM platform that constrained operational agility across Finance, Accounting, and HR functions.
The Challenge: Legacy Systems Limiting Performance
Harris Teeter’s back-end operations were reliant on IBM FileNet P8 4.5.1, a system that had aged out of alignment with the company’s evolving business needs. Over time, document capture had become fragmented and inefficient. Data extraction was inconsistent. Metadata indexing was limited. And mission-critical processes—like accounts payable workflows and employee onboarding—were increasingly bottlenecked by a lack of automation and visibility.
The impact wasn’t abstract. Finance teams were slowed by manual validation tasks. HR struggled to centralize documentation across multiple locations. With information living in silos and accuracy tied to human effort, the need for a next-generation architecture became clear.
Our Solution: Infrastructure Modernization Meets Intelligent Automation
Harris Teeter underwent a full ECM modernization—migrating from FileNet P8 4.5.1 to the more advanced FileNet P8 5.5.1 framework. This upgrade wasn’t just technical; it was foundational.
To elevate data accuracy and eliminate manual inefficiencies, we transitioned their document capture operations from IBM Capture Professional to IBM Datacap, enabling advanced metadata extraction and rule-based automation at scale. Human-dependent processes became system-driven, dramatically improving speed and data consistency.
The migration also preserved document integrity across massive data volumes—ensuring clean version control, auditability, and regulatory alignment throughout the transition.
Outcomes: Scaled Efficiency, Measurable Impact
The transformation delivered tangible results across key operational areas:
- 42% reduction in document processing time across finance and HR workflows, driven by automation and centralized indexing.
- 68% decrease in manual data entry errors, improving compliance accuracy and reducing reconciliation delays.
- 5.4x faster document retrieval times, allowing teams to access records in seconds rather than minutes.
- 36% increase in process throughput, enabling staff to handle higher volumes without increasing headcount.
A Model for Digital Operations at Scale
Harris Teeter’s modernization is a clear example of how smart infrastructure upgrades, when paired with precision automation, can unlock operational scale. It’s not just about retiring legacy tools—it’s about engineering the next phase of organizational intelligence.
At Pave, we champion these transitions not as IT projects, but as narrative shifts—moving organizations from reactive to proactive, from analog to intelligent, and from process-bound to performance-optimized.