A reputed US-based PR company wanted to modernize its legacy SaaS based product. It wanted to migrate to newer technologies like Java, Angular, AWS to improve overall maintainability, extendability, and scalability of the product, save the recurring cost of maintaining IT, as well as introduce several new functional changes to enable smart decision-making. CodePolicy with it’s customized legacy modernization and integration framework upgraded the overall product to newer and robust technologies without any impact to BAU; thereby neutralizing the challenges it was facing.
A leading textile merchant wanted to build multi-vendor e-commerce platform to sell its products online. They wanted CodePolicy to build Web as well as Mobile solution with best-in-class UX experience. CodePolicy’s built an e-commerce solution resulting cross platform mobile app as well as web solution with scalability, cost effective, and consistency outcomes.
A leading holiday planning company in India wanted to reinvent their booking system and address the challenges they were facing with traditional reservation options. CodePolicy developed an AI-powered Chatbot to facilitate the client leverage on the next-generation technology while enhancing overall staying experience for users across all content touchpoints.
Two standalone enterprises, with common interests, merged. They both were having their own IT product for serving their business. While merging they wanted us to review both the products and help them with IT strategy to consolidate the overall IT portfolio. Based on detailed study, CodePolicy proposed a detailed IT roadmap, and consequently zeroed in on the most useful one with potentiality for long-run existence.
A staffing startup wanted to improve its profile screening process to reduce the overall screening time and improve the match quality. They wanted to replace manual screening system with automation to save cost, cost, and most importantly the match between Job and Candidate. CodePolicy leveraged on latest technologies like AI, built a backend engine, matches the profile and opening based on custom inputs and intelligence, delivered solutions to achieve the desired milestone.