"Robotic Process Automation (RPA) in the logistics industry refers to the automation of repetitive, time-consuming tasks such as shipment tracking, inventory management, and order processing. Nalashaa can help automate workflows and free up your staff to focus on higher-value tasks and at the same time, help in reducing costs, and improving accuracy"
How does RPA work
While ‘RPA’ might sound a little fancy and intimidating at times, it's merely the substitution of manual labor with intelligent, computer programs. Humanoids are one manifestation of the concept, there are more subtle forms. Most tasks such as invoice processing, shipment scheduling & tracking, order processing, etc. are performed by people using computers. The actions they take (clicks & keystrokes) to initiate or complete these tasks can be performed by programming the same decision making constructs into these computers. Irrespective of the nature of the systems you use (ERP, CRM, custom portals, etc.), RPA can operate on top of these to orchestrate the process flows 24X7 at superhuman speed.
Incoming data
Received from outside or within the organization, in the form of
- Paper
- Spreadsheets/flat files
- Emails, support tickets
- Application notifications
- Database entries
Existing systems
Triggered based on pre-defined criteria applied to the incoming data
- Content
- Sender, receiver, date
- Business rules etc.
Resultant action
Execution of tasks that need to be performed as part of the business workflow, such as
- Sending emails, notifications, alerts, making calls
- Performing data entry, updates into another system
- Triggering another process
What can you do with it?
Business Benefits
No change to underlying systems
End-to-end automation implies speed
Improved consistency at reduced cost
Controlled degree of manual intervention
Digital footprint for feedback
How do we help you achieve these?
Assessment
Blue-printing and candidate process identification
Implementation
Automation of process execution
BI & Analytics
Derive intelligence for decision making
AI & ML
Tie learnings back into the systems’ decision-making
How to start the journey?
If you are looking to engage your patients effectively, the form below is a good next step.