Case Study : Augmented Analytics for India-Based Municipal Corporation to Support Smart City Initiative

The Client is one of the largest municipal corporations in India, and is responsible for delivering essential civic services, i.e., water supply, sewage treatment, solid waste management, road infrastructure, public health, education, and environmental programs for an urban population of over 3.1 million citizens.

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Case Study: Elegant MicroWeb Case Study – AI Image Recognition Technology Transforms Fire Safety Inspections and Compliance

This U.S. company specializes in fire safety equipment maintenance and compliance management. Its mobile application product automates the process of fire safety inspections, allowing businesses to efficiently record and submit inspection reports to regulatory authorities, streamlining inspection workflows and ensuring consistent compliance for clients. This product is accessed through a subscription plan.

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Case Study : Customer Churn Prediction for India-Based Pharmacy and Wellness Business

The Client owns a leading specialty chain of pharmacy and wellness stores in Ahmedabad, India, providing pharmaceuticals, medications, and wellness products to the community and consumers. As a component of its business, it sponsors a popular customer loyalty program. The Smarten model demonstrated remarkable performance, achieving 98% accuracy in predicting customer churn on the testing dataset.

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Case Study: Elegant MicroWeb Case Study – Conversational AI-Based Chatbot for USA Recruitment Sourcing Platform

The Client is a U.S. technology company that provides an AI-powered recruitment sourcing platform designed to simplify and accelerate the recruitment and hiring process. The platform leverages advanced natural language processing (NLP) to analyze job descriptions, identify key skills, and intelligently match candidates from both local and global talent pools. With built-in communication tools, recruiters can easily reach out to candidates via personalized emails or texts, and track engagement through intuitive dashboards. The Client platform is offered to customers through subscription plans and is designed to help recruitment teams make faster, more informed, hiring decisions with minimal manual effort.

Case Study: Elegant MicroWeb Case Study – NLP Search for U.S. Recruitment Applicant Tracking System (ATS)

The Client is a leading recruitment company based in the United States. The Client built an AI-powered Applicant Tracking System (ATS) specifically designed to recruit teams and to manage the entire lifecycle of the hiring process with speed, simplicity, and automation. The platform offers an intuitive interface to build a candidate pool from LinkedIn with AI-driven candidate rankings for a specific job posting, and is integrated with Outlook and Gmail. With flexible subscription options, mobile access, and dedicated migration support, the platform empowers recruiters to streamline the hiring pipeline, improve candidate engagement, and make targeted hiring decisions without the complexity and shortcomings of traditional ATS platforms.

Case Study : Augmented Analytics for Leading Electric Scooter Manufacturer in India!

The Client is a leading electric mobility company in India, specializing in high-performance electric two-wheel scooters engineered for sustainable urban transportation. With a robust presence across 200+ cities, the organization leverages lithium-based battery technology, and advanced electric powertrain systems that are tailored to accommodate Indian road conditions.

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Case Study: Elegant MicroWeb Case Study – Nepal Ambulance Dispatch & Tracking App for U.S. Client

This U.S. Client is spearheading a charitable initiative in Nepal to enhance emergency response services. The project will revolutionize ambulance dispatch operations by integrating real-time tracking, optimizing ambulance assignments, and streamlining communication among dispatchers, ambulance drivers, and patients. By leveraging an advanced solution, the initiative seeks to improve response times, ensure efficient resource allocation, and ultimately save more lives during critical emergencies.

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