# AI-Powered Retail Platforms Target Introduced a Mobile App Rebuild with AI Coding Companions By Debra John | Written with AI assistance | Published 2026-03-16 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/target-introduced References: [businessinsider](https://www.businessinsider.com/target-tech-chief-says-ai-not-replacing-workers-2026-3)  [Target](https://www.trendhunter.com/trends/target-7) introduced a major AI-driven overhaul of its retail technology under CTO Prat Vemana, featuring [AI coding companions](https://www.trendhunter.com/trends/AI-coding-platforms) designed to accelerate development across its engineering teams. The company said the update included a complete rewrite of its mobile app, completed in about 18 months, and broadened AI use among coders, data scientists and cybersecurity staff. Vemana stressed the tools were deployed to speed projects and support growth rather than to cut the global workforce, with tech talent remaining central to execution. The rebuild added new app features and refactored legacy elements to enable emerging AI shopping experiences and integrations. For consumers, the changes aim to deliver faster product innovation and smoother [AI-enabled shopping interactions](https://www.trendhunter.com/trends/sephoras-chatgpt-app), reflecting a broader trend of retailers using generative AI to modernize customer-facing platforms. Image Credit: Blossom Stock Studio / Shutterstock ## Trend Insights (Trend Hunter) - Score: 6.9/10 - Popularity: 64% | Activity: 78% | Freshness: 66% - Audience gender: 50% men, 50% women - Primary generations: Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### Key Themes Behind This Trend - **AI Coding Companions:** Emerging AI coding assistants enable rapid feature development and standardization that can upend traditional software engineering workflows and team structures. - **Legacy System Refactoring:** A large-scale rewrite of legacy apps creates possibilities for modular, cloud-native architectures that could displace monolithic IT estates and slow upgrade cycles. - **Generative AI Shopping Experiences:** Personalized, AI-generated product discovery and conversational commerce are reshaping customer journeys and could redefine omnichannel engagement models. ### Where This Applies - **Retail Technology:** Widespread adoption of integrated AI platforms is transforming merchandising, inventory and checkout processes and may disrupt incumbents lacking real-time data capabilities. - **Mobile App Development:** Accelerated timelines driven by AI-assisted coding are altering project estimation and quality assurance practices and could shift competitive advantage toward firms that leverage these tools. - **Cybersecurity for Commerce:** Expansion of AI across engineering and data stacks introduces new threat surfaces and defense paradigms that could redefine security service offerings for retailers. ## Related on Trend Hunter - [AI-Powered Shopping Companions](https://www.trendhunter.com/trends/ai-powered-shopping-companions.md) - [AI-Powered Personalized Shopping Features](https://www.trendhunter.com/trends/instacart-ai-solutions.md) - [AI Retail Experiences](https://www.trendhunter.com/trends/instore-customer-journeys.md) - [AI-Powered Shopping Features](https://www.trendhunter.com/trends/ai-powered-shopping-features.md) - [AI-Powered Retail Advisors](https://www.trendhunter.com/trends/mylow-companion.md) - [AI-Powered Shopping Tools](https://www.trendhunter.com/trends/target-7.md) - [AI-Enabled Personalized Retail Experiences](https://www.trendhunter.com/trends/aidriven-retail-system.md) - [AI Shopping Assistants](https://www.trendhunter.com/trends/targetpilot.md) - [Simplified AI Shopping Tools](https://www.trendhunter.com/trends/target-8.md)