How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI

A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms. As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.

Work Agentic Case Study

The Challenge:

The organization relied on five onshore analysts, managerial oversight, and an OCR solution to manually extract and process retailer data from multiple platforms. The workflow required employees to log into retailer portals, locate supporting documentation, extract relevant data using OCR, validate information against contracts and promotional agreements. The process was expensive, difficult to scale, and increasingly vulnerable to errors as client volume continued to grow. Management sought a solution that could automate the process without disrupting client deliverables, changing retailer platforms, or compromising data quality.

Key pain points included:

  • Five dedicated onshore resources performing manual data extraction and validation
  • OCR software costs of approximately $72,000 annually
  • Error rates of 10%-15%, requiring secondary reviews and quality control procedures
  • Significant managerial oversight required to maintain quality standards
  • Growing client demand that could only be supported through additional headcount
  • Limited scalability without materially increasing operating costs
  • Inconsistent processing times across different retailer platforms

The Objective

The objectives included:

  • Automatically access and extract data from retailer platforms, where possible
  • Interpret data accurately despite changing layouts and formats
  • Validate extracted information against supporting documentation
  • Populate existing upload templates without modification
  • Improve data quality and reduce manual intervention
  • Significantly reduce operating costs while improving service delivery

The Solution: Agentic AI-Powered Data Extraction

WorkAgentic partnered with its sister company, Expertise Accelerated, to deliver a combination of Agentic AI technology and offshore trade management expertise. The goal was not simply to automate data entry, but to redesign the operating model by combining AI-driven automation with experienced trade promotion professionals. WorkAgentic designed and deployed an browser-based AI agent capable of replicating the entire manual extraction process while significantly improving speed and accuracy.

The approach included:

  • Automatically logged into retailer platforms, where possible
  • Navigated to the required data sets
  • Extracted and interpreted information regardless of layout variations
  • Validated and structured data automatically
  • Populated existing upload templates without manual intervention
  • Executed on predefined schedules throughout the day

Case Study Overview

IndustryCPG / Business Process Outsourcing
Company Size$800M
LocationUnited States
DateFebruary 2026 - Ongoing

Performance Snapshot

ROI4.6x
Annual Net Savings$486,000
Data Accuracy98%
Extraction TimeMinutes
ScalabilityUnlimited

Results: Operational Impact

Operational Impact

Key outcomes included:

  • Eliminated manual data transcription activities
  • Reduced extraction cycles from hours to minutes
  • Improved data accuracy from approximately 85% to more than 98%
  • Eliminated five onshore processing resources and managerial oversight with four offshore resources and automation
  • Reduced secondary review requirements
  • Scaled transcription operations without adding headcount
  • Improved reporting timeliness and consistency across all supported clients

Unlike traditional OCR tools that simply capture text, the Agentic AI solution understands context, navigates workflows, adapts to changing retailer portals, validates extracted information, and delivers structured output directly into existing reporting processes. With Agentic AI and a streamlined offshore delivery model supported by four offshore resources, the company transformed a labor-intensive transcription and validation workflow into a scalable, technology-enabled operation. The solution improved accuracy to more than 98%, eliminated five onshore processing roles and associated management overhead, reduced annual operating costs by approximately $332,000, and delivered a 6.2x first-year ROI, while creating a platform capable of supporting continued growth across a client portfolio representing more than $800 million in CPG revenue.

Why the Solution Worked

Unlike traditional OCR tools that simply capture text, the Agentic AI solution understands context, navigates workflows, adapts to changing screen layouts, validates extracted information, and delivers structured output directly into existing reporting processes.

Combined with Expertise Accelerated's offshore operational expertise, the solution created a scalable human-plus-AI operating model that improved quality, reduced costs, and eliminated manual bottlenecks.

Annual Financial Impact

Case Study: $800M CPG Company

Savings CategoryAnnual Value
OCR Software Eliminated$72,000
Five Onshore Data Processing Resources Eliminated$400,000
Reduced Managerial Oversight Requirements$120,000
Total Annual Cost Eliminated$592,000
Agentic AI Design & Deployment (One-Time)($10,000)
Four Offshore Delivery Team Members($96,000)
Total Solution Cost($106,000)
Net Annual Savings$486,000
Return on Investment4.6x
Payback Period2.6 Months

Ready to get your analysts out of copy-paste work?

Let's discuss how Work Agentic can automate your data extraction workflows, eliminate manual entry errors, and give your team back the hours they need to focus on high-value work.

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