
Mid-Market Distribution & Fulfillment Operation (SAP/WMS), Publishing Services
Client Challenge
Margin compression driven by operational complexity — manual workarounds, shadow IT, and fragmented workflows across Order-to-Cash, Credit & Collections, Customer Service, and Reconciliation
Rapid growth was producing excessive costs and major Amazon chargebacks
Client Solution
Task-Level Model: Modeled 91,072 labor hours across 10 departments and 65+ employees; classified every activity Value-Added, NVA-Essential, or Non-Value-Added
Systems Blueprint: Quantified $793K consumed by non-blueprint systems — 18+ unsanctioned Access databases and 60+ Excel workbooks
Roadmap: Five prioritized recommendations with task-level traceability, executive dashboards, and implementation plan
ML Prototype: Designed and prototyped an ML text-matching application for Amazon A/R auto-assignment, projected to eliminate over 90% of the manual reconciliation process
Client Impact Results
Total OpEx Modeled: $4.6M
Value-Added Share: Only 21.2% of operating cost was directly value-creating
Addressable Savings: $1.287M annually across 5 initiatives — automated reconciliation, credit card processing, A/R collections, self-service portal, credit screening
Shadow IT: $793K (27.6%) consumed by non-blueprint systems
Client Technologies
BAS™ methodology
SAP and WMS environment
ML text classification (prototype)
Executive dashboarding
Task-level cost modeling
