Robotic Process Automation Case Study
RPA Powered Data Migration from AdaptOne to Zoho - 500+ Hours Saved
Case Study
RPA
Zoho Books

About Customer

A national non-profit organization in the supplier diversity sector that manages certification and supplier data for minority-owned businesses. The organization relies on technology to streamline certification processes, maintain accurate records, and ensure seamless access for corporate partners and certified suppliers.

Industry: Non - Profit Organizaton

Location: New York, India

Applications and Services Used: UiPath RPA

Challenge

The organization wanted to migrate data from the legacy AdaptOne system to Zoho Creator and Zoho Catalyst, which presented several challenges.
  • System Sunset: The existing platform was being decommissioned, creating a need for full data migration and long-term continuity.
  • No API Access: The legacy system lacked an API, complicating real-time data extraction.
  • Need for Daily Updates: The data needed to stay current during the transition.
  • Complex Data Logic: Transformation involved handling inconsistencies in formats, addresses, and classification codes.
  • Validation Requirements: Ensuring certified statuses, correct location data, and standardized NAICS codes was critical.

Solution

An automated migration framework was developed to ensure accuracy, continuity, and minimal manual intervention:
  • RPA with UiPath: Bots were configured to log in daily and extract updated data from the legacy system.
  • Scripts handled data cleaning, transformation, formatting, and keyword generation using the ChatGPT API.
  • Zoho Creator: Used as the new operational platform for managing certification and supplier data.
  • Zoho Catalyst: Enabled a public-facing portal for real-time data access.
    • Daily data extraction via RPA.
    • Structured Workflow.
    • Transformation and keyword enrichment via Python and AI.
    • Upload to Zoho Creator with cross-verification.
    • Final data pushed to Zoho Catalyst via secure API integration.

Results

The project delivered a robust data infrastructure:
  • Successful baseline migration completed on schedule.
  • Daily sync operating smoothly, ensuring always up-to-date data.
  • Full automation eliminated manual involvement.
  • Improved data quality through automated validations.'
  • Seamless portal experience for external users and stakeholders.