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  5. Bharat Petroleum Corporation Limited

Our client is an Indian government oil and gas corporation. It is under the ownership of Ministry of Petroleum and Natural Gas, Government of India headquartered in Mumbai, Maharashtra. The corporation operates two large refineries of the country located in Kochi and Mumbai.

The company is India's 2nd largest downstream oil company and is ranked 275th on the Fortune list of the world's biggest corporations as of 2019.

Requirement

Conversational AI

As part of their Digital Transformation Client planning to provide a self-service information and transactional tool for internal and external users using a ChatBot service. That will transform their current business process and ease the payments/customer experience for the distributors and 14800 fully automated fuel stations It should understand natural language queries keyed-in by the user and provide the information requested or process a transaction on behalf of the user.

1. Provide FAQ Knowledge base linked information through easy chat flow.
2. Enhance user experience by integrating with NLP API’s.
3. Process relevant transaction based on user’s input
4. BOT Application to be interfaced with on-premise SAP/.Net applications to perform transactions.

Business Analytics and Data Visualization

Client’s transactional data resides in SAP systems and MS SQL/Oracle/PostgreSQL databases. On-premise SAP Business Warehouse is being used as the corporate data warehouse. The data stored across all these systems is to be made available for analysis using a Business Analytics and Data Visualization tool. It should enable creations of analytical artefacts like reports, dashboards, KPIs and so on and also allow easy access to these components to the end users for consumption.

1. Analytical reports and dashboards based on data stored in both on- premise as well as cloud based systems.
2. Broadcasting reports to end users through emails(including attachment capabilities)
3. To integrate with multiple data sources including on premise SAP- BI Hana server.

Solution

AI-Architecture

Minfy has proposed to build the AI Conversational bot leveraging a partner solution MY-ASSIT a low code platform to build the chatbot, the solution has NLP capabilities:

· Assistant uses Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Advanced Dialog management, and Machine Learning (ML) to understand, react and learn from every interaction.
· Facilitates conversations between a customer and a business, and within the business to automate operations.

Minfy builds the conversational AI leveraging below AWS native services :
1. AWS Cognito
2. AWS Sagemaker.
3. API Gateway
4. AWS Lamda
5. Elasticsearch
6. AWS Fargate
7. AWS Comprehend

Benefits

- Myassit - Low Code Chatbot development platform helped to develop the solution in 5X lesser time of native development.- AI --- - Models had been created with the help of the past 15 years of data provided by the customer and these models can be re-trained with ease with help of the customization framework available in Myassist.
- The customer could leverage AWS for the acceleration of their innovation without any hassle in a hybrid approach
- AWS Fargate helps to scale the infrastructure no worries of provisioning and deprovisioning of the infrastructure
- QuickSight helped to embed interactive dashboards into client applications, websites, and portals with its serverless architecture that automatically scales to tens of thousands of users in pay as you go model.

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