Autonomous Sales Management @ Vodafone Idea Ltd

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Autonomous Sales Management @ Vodafone Idea Ltd

The Evolution of Consumer Expectations

Amazon is arguably one of the most influential businesses on consumer behaviour. One of the most significant changes that Amazon has had on consumer expectations is related to the availability and shorter delivery time of products online. This, coupled with customer service that truly puts the customer first, has changed supply chain management significantly.
To satisfy such consumer expectations in the enterprise world, all enterprise resources need to be connected in real time, operate on a real time workflow and be managed by AI that can take smart decisions without human intervention.

Grene Robotics is working with India’s second largest tele communication service provider to complete an order process autonomously from PO to WO.

The order management process starts from when a customer places an order, to keeping track of that order until it is fulfilled.

The End Goals

Zero touch customer ordering and support 80% of customers
AI automated resource & workforce planning for order fulfilment
RPA enabled order processing for instant results
Customer app with a conversational interface to easy order tracking
50% reduction in sales / account managers time
AI to respond to 80% of customer requests without human intervention
AI to predict the turn around time for any order with continues communication to all stakeholders

The Key Stakeholders & Resources

The Customer
Sales / Account Manager Team
Feasibility / Inspection Team
Solution / Product Team
Order Processing Team
Accounting Team
Customer Service Team

The Challenges

No end to end visibility for order management
No follow up
No Real Time Updates
No Prediction on completion time
No statistics on turn around time
No real time visibility to the customer
No instant gratification to customer

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Autonomous Emergency Services @ GVK EMRI

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Autonomous Emergency Services @ GVK EMRI

When you can see your uber taxi coming to you on your smartphone, why can’t we do the same with an emergency vehicle?

We worked with India’s largest ambulance network (GVK EMRI) to take the request for an emergency directly from the customer. ERMI responds to 30,000 cases a day, across 15 states within India. They have 12,000 ambulances and 40,000 people working to make sure their emergency service runs 24 hours a day.

Our technology was able to reduce their ambulance assignment time from 3 minutes to 10 seconds by using the smart phone to triangulate ambulance location, and reduced the response time of the ambulance by 30% by making sure ambulances are parked at closest proximity to probable accident prone areas.

Our platform brought the caller, hospital, ambulance driver, emergency medical technician, reporting team and quality team onto one single platform to ensure the most efficient and real time case resolution.

Each of the stakeholders was brought online using their smartphone or PC in their job role.

Assignment of ambulance and other resources to a case was made autonomous using our inbuilt ‘Resource Manager‘ BOT with a time prediction feature shown to the caller to ensure that multiple check up calls can be avoided.