Driving Efficiency In Supply Chain Data Operations With Intelligent Automation  - Evoke Technologies

Case Study Details:

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About the Client

A leading standards organization enables businesses to uniquely identify, capture, and share product information across global supply chains. Through globally recognized identification systems, such as barcodes and product data standards, the organization helps manufacturers, retailers, distributors, and e-commerce platforms to exchange accurate product information efficiently.

 

Serving thousands of organizations, ranging from large enterprises to small businesses and nonprofit groups, the organization plays a critical role in improving product data accuracy, supply chain visibility, and compliance with global standards.

 

As product registrations, digital media assets, and operational processes increased, several internal workflows relied on manual verification and repetitive tasks. To improve efficiency, accuracy, and scalability, the organization implemented intelligent automation using Robotic Process Automation (RPA) to streamline key operational processes.

1. Product Image Validation Automation

Challenges

Product image validation was a manual and time-consuming process before images could be approved for digital catalogs and e-commerce platforms.

 

  • Each product image required 15–20 minutes of manual validation
  • Teams had to check RGB color profile, DPI resolution, image dimensions, clipping paths, and format compliance
  • Product onboarding was often delayed by 2–3 days
  • Small businesses and partner organizations experienced delays in launching products online
  • Manual validation created operational bottlenecks and increased costs

Solution

Automation was implemented to streamline the product image validation workflow.

 

  • Developed UiPath automation bots to validate images against product data standards
  • Implemented bulk image validation capabilities for faster processing
  • Built reusable components to check format, resolution, color profiles, and image dimensions
  • Integrated automated error detection and exception handling
  • Enabled digital audit trails for compliance and process transparency

Results

Automation significantly accelerated product validation and improved operational efficiency.

 

  • Up to 95% reduction in image validation processing time
  • Product image validation was completed in minutes instead of days
  • Enabled same-day product onboarding for businesses
  • Reduced operational costs related to manual verification
  • Improved compliance and consistency of product images across digital channels

2. Smart Media Migration and Content Publishing Automation

Challenges

Website media updates and digital content publishing required manual coordination between marketing and technical teams.

 

  • Content migration tasks were time-consuming and prone to errors
  • Website updates depended on the technical team’s availability
  • Marketing teams faced delays in publishing digital content
  • Manual formatting caused inconsistencies across digital platforms

Solution
Automation workflows were implemented to simplify media migration and digital publishing.

 

  • Developed automation bots to perform smart media mini-migrations
  • Automated content creation, formatting, and publishing workflows
  • Enabled automated validation of digital media assets
  • Implemented user-friendly workflows allowing business teams to trigger updates
  • Integrated monitoring and logging for process tracking

Results

Automation significantly improved digital content management.

 

  • 70–80% reduction in manual publishing effort
  • Faster website updates and digital asset migrations
  • Improved consistency of content across channels
  • Reduced dependency on technical teams for routine updates
  • Enabled faster execution of marketing campaigns

3. NPC Registration and Lifecycle Automation

Challenges
Partner organization onboarding and subscription lifecycle processes involved several manual steps.

 

  • Manual validation of registration data increased processing time
  • Subscription creation and termination workflows lacked automation
  • Limited visibility into onboarding status
  • Risk of manual errors during data entry and validation

Solution

End-to-end automation was implemented to streamline partner lifecycle processes.

 

  • Built RPA workflows for registration, subscription creation, and termination
  • Automated data validation and exception handling
  • Integrated automation with internal systems for seamless updates
  • Enabled audit logging and process monitoring dashboards
  • Provided real-time visibility into operational workflows

Results
Automation improved operational efficiency and partner experience.

 

  • Up to 80% faster onboarding and subscription processing
  • Reduced manual errors and data inconsistencies
  • Improved compliance with automated audit trails
  • Enhanced operational visibility for administrators
  • Improved partner onboarding experience

4. Digital Collaboration and Campaign Automation

Challenges
Routine digital collaboration and communication tasks required significant manual effort.

 

  • Manual scheduling of social media campaigns
  • Event registrations and digital collaboration tasks were handled manually
  • Staff spent excessive time managing repetitive digital tasks
  • Lack of automation delayed campaign execution

Solution

Automation was implemented across collaboration and digital communication tools.

 

  • Automated social media scheduling and campaign workflows
  • Implemented automation for digital collaboration processes
  • Streamlined event registration and guest management workflows
  • Enabled automated alerts and notifications for campaign activities
  • Implemented reporting dashboards for campaign tracking

Results
Automation improved digital engagement efficiency and operational productivity.

 

  • 60–70% reduction in repetitive digital coordination tasks
  • Faster campaign deployment and response time
  • Improved monitoring of digital campaign performance
  • Reduced operational workload for staff
  • Enabled teams to focus on strategic digital initiatives

5. Finance and Data Operations Automation

Challenges
Financial reconciliation and operational data processing involved manual data handling across systems.

 

  • Manual reconciliation processes were time-consuming and error-prone
  • Data extraction and reporting required significant manual effort
  • Lack of real-time visibility into financial operations
  • Operational teams spent a significant amount of time on repetitive data tasks

Solution
Automation was implemented to streamline finance and data workflows.

 

  • Developed RPA bots for financial reconciliation and transaction validation
  • Automated data extraction and scraping-based data collection
  • Implemented validation rules and exception handling
  • Integrated automation with internal financial systems
  • Created dashboards to monitor operational performance

Results
Automation improved financial accuracy and operational visibility.

 

  • Up to 90% reduction in manual reconciliation effort
  • Improved accuracy of financial reporting and data validation
  • Faster processing of operational data workflows
  • Reduced operational risks associated with manual tasks
  • Enabled teams to focus on higher-value financial analysis activities

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