An ISO 9001:2015, 14001:2018, OHSAS 45001:2018, WHO-GMP & CE Certified Organization.

Project Overview

Pillar 9 TAE India Pvt Ltd (PI9IPL/PI9) is dedicated to advancing the future of surgical environments through innovative and modular Operation Room (OR) solutions. As specialists in designing and delivering state-of-the-art medical infrastructure, they cater to the evolving needs of modern healthcare facilities with precision, hygiene, and efficiency at the core of every project.

Key Objectives

• Establish a modern, credible digital identity aligned with Microsoft Cloud services.
• Communicate complex enterprise solutions in a simple, visual, and structured format.
• Improve lead conversion and clearly segment services like Power Platform, ERP, and CRM transformation.
• Optimize for performance, responsiveness, and SEO.

Tech Stack & Implementation

The website was developed using Next.js, chosen for its flexibility, performance, and built-in SEO benefits.

• Frontend Framework: Next.js (React-based)
• Deployment: Vercel for global CDN performance and serverless functions
• Styling: Custom CSS for rapid UI development with consistency
• Responsiveness: Fully responsive design optimized for mobile, tablet, and desktop
• Image Optimization: Leveraged Next.js’s Image component for automatic optimization
• Routing: Dynamic and static routing with pre-rendering for speed

Insights

• Target users were digital leaders (CTOs, IT managers) seeking transformation partners.
• Their services needed clearer categorization, with smoother pathways to case studies and contact forms.
• Strong emphasis on credibility (certifications, methodology, partnerships with Microsoft, SAP, etc.)

Deliverables

• Site Map
• User Personas
• Tone of Voice Brief
• Wireframe Flowchart

The new Pi9.in website successfully launched, offering a strategic, content-driven experience that reflects Pi9’s enterprise capabilities.

Results within 3 weeks:

• 41% improvement in average time-on-site
• 2.3x more form submissions
• 100% mobile responsiveness across tested devices
• ~1.3s average load time