OrangeWorkforce Use Case
RPA Boosts Data Accuracy and Decision-Making in Manufacturing and Logistics Order Fulfillment
Industry
Manufacturing & Logistics
Results
- Productivity gains as supervisor able to focus on higher value tasks
- Faster detection of discrepancy in the records based on reconciliation reports
- Enhanced decision making based on accurate and reliable data
Applications Involved
- Microsoft Outlook
- Microsoft Excel
- Epicor ERP
- Sharepoint
Background
A company that produces goods and a supply chain business needs to manage the order fulfilment from inventory management, warehousing, to the distribution of goods in a timely and efficient manner.
Manual Process Before OrangeWorkforce RPA:
- Customer Service daily read, and track received emails on goods delivery notice (GDA)
- Customer Service will forward the email to respective customers
- Customer Service will download undelivered listing reports from ERP system.
- Supervisor will track on the goods to be delivered to which warehouse daily
- Supervisor will provide report list to different warehouse teams to inform the expected goods arrival.
- Once received at warehouse, Finance team will issue invoice to customer, and supervisor also needs to track each customer is billed accordingly.
Automated Process with OrangeWorkforce RPA:
- Every day, the bot scans incoming emails containing goods delivery notices and forwards them to the appropriate customers according to a customer listing file.
- Bot conducts reconciliations between incoming emails and the system’s records of undelivered items.
- Bot generates daily reports intended for the planner to aid in inventory management tasks
- Bot compiles daily report for the warehouse team to facilitate tracking of deliveries.
- Bot prepare daily report for the Finance Department to ensure the accuracy of invoicing
Results After OrangeWorkforce RPA:
- Productivity gains as supervisor able to focus on higher value tasks
- Faster detection of discrepancy in the records based on reconciliation reports
- Enhanced decision making based on accurate and reliable data
