A leading business in the port and logistics industry faced operational challenges caused by manual data synchronisation between two ERP systems.
The absence of integration led to inefficiencies, data discrepancies, and limited scalability.
INTECH deployed a Robotic Process Automation (RPA) solution to automate synchronisation processes, improve data accuracy, and enhance operational efficiency.
The client is a well-established organization operating in the port and logistics domain, utilizing Ariba for customer-related processes and SAGE for internal operations.
Their reliance on two separate ERP systems created a pressing need for a solution to eliminate manual data entry and synchronisation challenges.
The client mainly struggled with manually synchronising critical data between Ariba and SAGE ERP systems. This process demanded extensive time and effort from internal teams and introduced several pain points:
1. Time-intensive data entry:
The manual transfer of data between Ariba and SAGE ERP systems requires a significant amount of time and effort from the internal team. Daily inputting of customer onboarding details, purchase orders, shipment data, goods receipts, and invoices hampers efficiency and diverts attention from value-added tasks.
2. Frequent errors:
Relying on manual data synchronisation increases the risk of errors and inconsistencies. Human errors during data entry, such as typos or missing information, can lead to incorrect or incomplete records in either system, causing confusion, delays, and potential financial losses.
3. Delayed updates:
Manual synchronisation processes prevent stakeholders from accessing real-time data updates. The delay between data entry in one system and its transfer to the other ERP system hampers decision-making, customer service, and supply chain management due to the lack of immediate access to accurate, up-to-date information.
4. Scalability and growth limitations:
Manual synchronisation becomes increasingly challenging as the business expands and data volumes increase. The existing process is not scalable, leading to potential bottlenecks and data integrity issues that hinder the company’s ability to meet growing customer demands.
INTECH’s experts implemented UiPath’s Robotic Process Automation (RPA) to completely automate the data synchronisation between Ariba and SAGE.
This RPA solution eliminated manual intervention, ensured real-time updates, and significantly improved data accuracy.
Data extraction and transformation: Automated the extraction of data from Ariba and formatted it to meet SAGE’s requirements.
Rule-based validation: Incorporated business rules to validate data for consistency and accuracy.
Real-time synchronisation: Enabled simultaneous updates in both systems, providing stakeholders with immediate access to current data.
Exception handling and alerts: Equipped bots with mechanisms to identify and flag issues, ensuring smooth operations with minimal disruptions.
Scalability: Designed the RPA process to accommodate increasing data volumes as the business grows.
1. Requirement Analysis:
Identified synchronisation pain points and mapped out data workflows.
2. Solution Design:
Developed a detailed RPA framework, including rules for data extraction, validation, and transfer
3. Bot Development:
Built UiPath bots to automate synchronisation tasks
4. Testing & Validation:
Conducted extensive testing to ensure seamless operation and data accuracy.
5. Deployment:
Rolled out the RPA solution in a phased manner to minimize disruption.
6. Support and Monitoring:
Provided ongoing support to refine the solution and address any issues.
Freeing teams from repetitive tasks
Reducing errors for more accurate data
Enabling real-time updates for faster workflows
Cutting manual labor and correction costs
Scaling effortlessly with growing data volumes
UiPath: A RPA tool that enables seamless automation and real-time data synchronisation.
RPA Framework: Customized bots designed to handle repetitive tasks with speed and accuracy.