Case Studies

• Iconic India worked with Lucent Innovation to create a custom Shopify return and exchange application.
• The solution gave customers a self-service portal for submitting and tracking requests. It also introduced unit-level returns and exchanges, automated status updates, workflow management and a centralized administration dashboard.

• Iconic India worked with Lucent Innovation to connect Shopify with Increff, Unicommerce, warehouse systems and logistics providers.
• A centralized Node.js middleware application was developed to synchronize inventory, automate order allocation, support multi-location fulfilment and improve shipment visibility. The solution reduced dependence on disconnected systems and manual operational work.

• Iconic India worked with Lucent Innovation to improve the speed, stability and usability of its Shopify storefront. The project addressed unreliable infinite scrolling, inconsistent product images, slow Add to Cart interactions, manual promotional updates and ongoing website maintenance.
• The improvements created smoother collection browsing, more consistent product presentation, faster cart interactions and easier campaign management across the Shopify store.

A renewable energy company needed a clearer way to bring together data from solar, wind and battery assets across multiple sites. We built a unified telemetry data pipeline that made generation reporting, performance analysis and forecasting easier to manage from one place.

Learn how a fast-growing meal-kit subscription company modernized its cloud data platform by migrating from Snowflake to Databricks, improving analytics performance, simplifying machine learning workflows, and preparing for future AI-driven growth.

With Lucent Innovation supporting the migration, the company brought key data workloads together, improved access to timely insights, and built a scalable foundation for continued growth across markets and future AI initiatives.

Databricks-powered Genie eliminates AI hallucination in sales pipeline reporting for a B2B software company. Governed data, verified answers, faster decisions.

A European-based Shopify fashion store partnered with Lucent Innovation to build an AI-powered support system that cuts response times by 40%, boosts satisfaction by 30%, and scales 3× during peak sales without adding staff.

The client's outdated data warehouse caused 4-8 hour report delays, 15-20% discrepancies in sales metrics due to silos, and high maintenance costs, blocking agility and advanced analytics. Lucent Innovation migrated them to a modern Databricks Lakehouse on AWS and Azure, using the Bronze-Silver-Gold framework, real-time/batch pipelines, and interactive SQL dashboards in a smooth 6-month migration. Results included much faster insights, consistent data across teams, lower overhead, and a scalable platform ready for AI and machine learning.

Labo Mono is a sleek European accessories brand that was struggling with sluggish third-party tools for product customization, where rigid rules and slow loads were causing trouble. Discover how we flipped the script with a custom Shopify app that resulted in better accuracy.

An eCommerce client – Dekoni was facing challenges with slow site speed, complex catalog and crumbled shopping experience with the old setup. Lucent Innovation provided the solution of migrating to Shopify and custom implementation for smooth and modernized work operation while enhancing the user shopping experience.

This case study highlights how our client located in Nova Scotia, struggled with slow customer service due to common inquiries. To fix this, we developed a self-service portal with React.js and Node.js. This helps users to manage accounts, plans, payments, and referrals independently. The solutions enabled self-service usage by 75%, reduced customer service workload by 40%, and increased revenue by 10%.

Read in detail how we transformed an IoT platform with Node.js APIs, delivering instant device communication, real-time telemetry, and scalable sensor data management while enhancing user engagement and system performance.