See how ARDEM helped a global luxury and streetwear e-commerce retailer manage purchase order review, product and vendor validation, FTA checks, OCR-assisted capture, discrepancy escalation, dashboard visibility, and peak-season workflow control.
High-Volume Shipment Processing Should Not Put Fulfillment Timing at Risk
Maintaining 24-Hour Shipment Readiness Across 700-800 Daily Shipments
700-800/day
Peak shipments supported
2,000-3,000
Items per shipment
24 hours
Shipment readiness target
OCR + dual entry
Human-supervised control
The Challenge
The retailer’s shipment creation process depended on accurate purchase order and product data moving through vendor-specific formats, product codes, cost and quantity checks, FTA requirements, and portal rules within a strict 24-hour window.
During peak months, purchase orders could reach 50 pages, with 5 to more than 300 line items per page. Unreadable PDFs, pricing discrepancies, missing product data, and portal capacity issues created rework and escalation risk.
The ARDEM Solution
ARDEM created a managed shipment data operating model that combined queue control, purchase order review, master list validation, product and vendor code entry, FTA and cost checks, OCR-assisted capture, dual entry, mismatch detection, discrepancy reporting, platform visibility, and peak-season coverage.
The model helped the client maintain shipment readiness, improve exception visibility, and scale processing during high-volume periods without relying only on internal capacity.
The Managed Shipment Data Workflow
ARDEM supported shipment creation through a controlled operating lane designed around the retailer’s purchase order, product validation, discrepancy, and turnaround requirements.
Download the Full
Retail Shipment Data
Case Study
Retail Shipment Data
Case Study
For COOs, logistics leaders, merchandise operations teams, order fulfillment leaders, and finance executives managing seasonal shipment volume, complex purchase orders, product data variation, or exception-heavy retail workflows.
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Why ARDEM
A defined operating model covering request intake through shipment-ready data completion.
Structured checks for product details, category codes, vendor codes, quantities, costs, and FTA information.
OCR-assisted capture for image-based or unreadable PDFs, followed by trained analyst validation.
Mismatch reporting for outdated pricing, missing codes, total differences, and portal capacity issues.
Dashboard tracking, recurring reporting, sandbox training, and flexible coverage during volume spikes.The Results
ARDEM helped the retailer create a controlled shipment data lane that protected readiness, validation discipline, and exception visibility during global peak-season operations.
- Maintained the client’s 24-hour shipment readiness requirement
- Supported 700 to 800 shipments per day during high-volume months
- Processed shipments containing 2,000 to 3,000 items each
- Validated product, category, vendor, FTA, cost, quantity, and line-item data
- Flagged pricing, total, document-quality, missing-code, and portal-capacity exceptions
- Provided real-time workflow visibility through the ARDEM Collaboration Platform
- Scaled operating coverage through trained teams and flexible peak-season shifts
Shipment Volume Was Only Part of the Challenge
The Greater Risk Was Losing Control of Product Data and Fulfillment Timing
The client operated across 114 countries, multiple languages, and more than 720 premium brands. Shipment creation depended on purchase order data being reviewed, validated, and completed fast enough to keep fulfillment moving.
The source documents varied substantially. Purchase orders ranged from a few pages to 50 pages, line-item density varied by vendor, and some PDFs were image-based or unreadable. Product codes, costs, quantities, composition details, FTA data, and portal requirements all had to align before shipment readiness could be confirmed.
Peak-season volume increased the risk. Delayed or inaccurate data could affect shipment timing, vendor updates, pricing accuracy, customer delivery expectations, and management visibility.
Temporary processing capacity would not create master list discipline, dual verification, mismatch reporting, dashboard visibility, or defined escalation paths. OCR alone would also be insufficient because captured data still required trained review and client-specific judgment.
ARDEM created a managed shipment data model that connected intake, validation, technology-assisted capture, quality review, exception handling, and reporting inside one controlled operating cadence.
1
Shipment Request Intake
Received shipment creation requests from merchandise coordinators and organized them into a controlled queue.
2
Queue and Turnaround Control
Tracked pending and processed purchase orders to support the 24-hour readiness requirement.
3
Purchase Order Review
Reviewed documents ranging from a few pages to 50 pages with line-item-heavy product and cost data.
4
Product and Code Validation
Validated product information against master lists and entered product, category, and vendor identification codes.
5
FTA, Cost, and Quantity Checks
Reviewed FTA details, costs, quantities, totals, line items, and missing product information.
6
OCR-Assisted Capture
Used OCR for unstructured or image-based PDFs, with analysts validating captured information.
7
Dual Entry and Exceptions
Applied dual data entry, mismatch detection, discrepancy reports, and escalation for pricing or portal issues.
8
Platform Visibility and Peak Scaling
Used dashboard visibility, recurring reports, training, and flexible coverage to manage seasonal demand.
What You’ll See in the Full PDF
The full case study explains how ARDEM structured the retailer’s shipment data workflow, including:
- How shipment creation requests and purchase orders were organized within a controlled queue
- How master lists supported product, category, and vendor code validation
- How FTA, cost, quantity, pricing, and line-item checks protected shipment readiness
- How OCR-assisted capture was combined with analyst review and dual entry
- How pricing discrepancies, unreadable PDFs, missing codes, and portal limits were escalated
- How the ARDEM Collaboration Platform gave the client visibility into pending and completed work
- How the workflow scaled during peak months without sacrificing turnaround discipline
Managing a Similar Retail Shipment Workflow?
Access the full case study to see how ARDEM helped a global e-commerce retailer bring control to purchase order intake, product validation, OCR-assisted capture, discrepancy handling, shipment status, and peak-season execution.