The industrial revolution brought mechanization across industries, now automation adds intelligence to the mix. Cost, time, and resources freed up through automation allow for investments with a more direct impact on end-customers. The logistics and transport industry, given its razor thin margins, is embracing Robotic Process Automation (RPA) to improve responsiveness and eradicate labor costs. This change will be unforgiving for laggards and will redefine the playing field. So the question is,

“Are you going to ride this change or watch the competition do it?”

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.