Tender Bidding Recommendation using Generative AI

Telecommunication AI Data Analytics
Client: A leading ICT (Networking) company
Industry: Networking & Telecom
Region: India
Client Since: 2023
Challenge: The client was facing challenges in bidding for tenders due to the lack of a structured approach and the inability to effectively analyze the competitive landscape.
Solution: InfiniteAI proposed a comprehensive solution that included a tender analysis system, a competitive landscape analysis, and a bidding strategy development. The solution was designed to help the client identify the best opportunities and develop a winning strategy.
Result: The solution helped the client to win 10% more tenders and reduce the time to bid for a tender by 30%.
Team: 2 Data Scientists, 1 Project Manager, 1 UX/UI Designer, 1 Frontend Developer, 1 Backend Developer, 1 DevOps Engineer
Tech Stack:
Python Django REST Framework Google Cloud Generative AI ReactJs Docker
Tender Bidding Recommendation using Generative AI
InsureTech

InsureTech Using Machine Learning

Insurance Machine Learning ReactJs NodeJs
Client: A leading Insurance Company
Industry: Insurance
Region: India
Client Since: 2021
Challenge: Client wanted to build an AI based recommendation engine that will extract key information from insurance policy documents and use it to provide up-selling / cross selling recommendations.
Solution: We developed a ReactJs/NodeJs based web application that uses Machine Learning to extract key information from insurance policy documents and allows the client to verify the field extraction results and train the model for new documents.
Result: Client team was able to identify and segment the customers who are likely to buy a new insurance policy and upsell / cross-sell them with a new policy.
Team: 2 Data Scientists, 1 Project Manager, 1 UX/UI Designer, 1 Frontend Developer, 1 Backend Developer, 1 Mobile App Developer, 1 DevOps Engineer
Tech Stack:
Python Machine Learning Django REST Framework Flutter ReactJs Docker

Data Engineering for Green Energy Company

Clean Energy Azure Databricks Power BI PySpark
Client: A medium sized Green Energy Company in India
Industry: Clean Energy
Region: India
Client Since: 2024
Challenge: Client wanted to build a real-time data capturing and analysis system to identify any anomalies in energy and get real-time notifications if any fault detected.
Solution: We have been able to get data directly from the Transformers, RTU, MFI & Grid Meters into Azure Databricks using custom Python scripts + Azure Event Hubs.
Result: The solution helped the client to identify and fix any anomalies in the energy production and consumption in real-time. This has also boosted client's revenue by 20%.
Team: 1 Project Manager, 1 Backend Developer, 1 Data Engineer, 1 PowerBI Developer
Tech Stack:
MQTT Azure EventHub Azure Databricks PowerBI Python PLC
Solar Panel
Real Estate BI

Real Estate BI

Real Estate Data Engineering Analytics & BI Power BI
Client: Top Real Estate Company in Gujarat
Industry: Real Estate
Region: India
Client Since: 2023
Challenge: The data was siloed and there was no way to get insights from the data. CXO Reporting was a major challenge.
Solution: Prepared a comprehensive data warehouse using Microsoft SQL Server Integration Services (SSIS) and Power BI to get insights from the data.
Result: Client was able to get insights from the data and was able to make data-driven decisions. He has been able to identify HNI (Hih Net Worth Individuals) leads and was able to convert them into sales.
Team: 1 Project Manager, 1 Data Engineer, 1 PowerBI Developer
Tech Stack:
SSIS Power BI

Field Staff Tracking System

Flutter Field Staff Tracking Mobile App Geo Location
Client: A Small and Medium Sized Land Banking Company
Industry: Real Estate
Region: India
Client Since: 2024
Challenge: Client wanted to build a real-time tracking system for their field staff to track site visits and client interactions.
Solution: Built a Mobile App for field staff and web app for the office staff to understand the field staff performance and client interactions.
Result: The solution helped the client to identify the gaps in client interactions, sales closure and better train field staff.
Team: 1 Project Manager, 1 Backend Developer, 1 Frontend Developer, 1 Mobile App Developer, 1 DevOps Engineer
Tech Stack:
Flutter NodeJs ReactJs Docker Google Cloud
Solar Panel
Large Compressor

Large Compressor Manufacturing

Manufacturing ERP Analytics & BI Industry 4.0
Client: Largest Compressor Manufacturing Company in India
Industry: Manufacturing
Region: India
Client Since: 2022
Challenge: Client wanted end-to-end real-time monitoring of manufacturing efficiency and quality.
Solution: Built entire shop floor IoT system with real-time data capturing from compressor manufacturing process into ERP system.
Result: Client was able to see the OEE (Overall Equipment Effectiveness) and other KPIs in real-time and was able to take data-driven decisions.
Team: 1 Project Manager, 2 Backend Engineers, 2 Front-End Developers, 1 DevOps Engineer, 1 Data Engineer
Tech Stack:
Django REST Framework HTML5, JavaScript Iconics SQL Server

Cyber Security Assessment & Remediation for 6th Largest Insurance Broker in USA

Cyber Security Security Assessment Remediation Azure Cloud
Client: 6th Largest Insurance Broker in USA
Industry: Insurance
Region: USA
Client Since: 2024
Challenge: Client wanted to assess the security posture of their IT systems (~ 500 Azure Subscriptions) and remediate the vulnerabilities.
Solution: We performed Security Assessment of client's IT systems and provided a report with the security recommendations. We also provided the remediation guidance to the client.
Result: Client was able to identify the security gaps and vulnerabilities in their IT systems and was able to remediate them.
Team: 1 Project Manager, 2 Security Architects, 5 Security Engineers
Tech Stack:
Azure Security Center Azure Sentinel Azure AD
Cyber Security
Partner Portal

Partner Management System

ICT ERP Third-Party / Channel Partner Telecom
Client: Largest Network & Telecom Company In Gujarat
Industry: Networking & Telecom
Region: India
Client Since: 2024
Challenge: Client wanted automatic payout calculations for their channel partners based on the sales volume and other parameters.
Solution: Built a system that allows the sales partners to upload the sales data into the system and automatically calculate the payouts.
Result: Client was able to automate the payout calculations and reduce the time to pay their partners by 50%.
Team: 1 Project Manager, 1 Backend Developer, 1 Front-End Developer, 1 DevOps Engineer
Tech Stack:
NodeJs ReactJs Docker Google Cloud

Market Research Portal

Market Research Marketing
Client: Market Research Company in USA
Industry: Marketing
Region: USA
Client Since: 2022
Challenge: Client wanted to build a market research portal to help their clients to find the best market research reports.
Solution: We built a system that allows the clients to search for the market research reports and get recommendations.
Result: Client was able to provide better recommendations to their clients and was able to increase the sales.
Team: 1 Project Manager, 1 Backend Developer, 1 Front-End Developer, 1 DevOps Engineer
Tech Stack:
NodeJs ReactJs
Market Research
Commercial Finance

Manufacturing Finance Data Lake

Finance Manufacturing Commercial Finance Data Lake
Client: Largest Commercial Finance Lending Company in USA
Industry: Finance
Region: USA
Client Since: 2024
Challenge: Client wanted to build a single data lake for all their financial lending data. They wanted very strict control over the data access and usage.
Solution: Built a centralized data lakehouse using Databricks and Power BI. The solution helped the client to get insights from the data and make data-driven decisions.
Result: Client was able to get insights from the data and make data-driven decisions with a fine grained control over data access and usage.
Team: 1 Project Manager, 8 Data Engineers, 2 Power BI Developers
Tech Stack:
Databricks Power BI PySpark Azure Data Lake Unity Catalog Delta Lake House

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