Case Study: Rack Room Shoes builds a scalable, high-performing AP operation with DataServ

A DataServ Case Study

Rack Room Shoes processes 41,220 invoices a year with DataServ

Rack Room Shoes, an American footwear retailer, faced operational strain from high paper invoice volume, decentralized processing, and unreliable audit readiness. They partnered with vendor DataServ to implement its Invoice Processing Machine platform for AP automation.

DataServ's solution centralized invoice capture through digital submission and automated workflow. The results included processing over 41,000 invoices per year with near-zero error rates and 99.8% system uptime. DataServ provided measurable impact through a 72% email submission rate, a significant reduction in paper, and full audit readiness, allowing the AP team to handle growing volume without increasing staff.


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