I want to launch a feature-rich e-commerce platform that feels equally delightful on the web, iOS and Android. The core of the build is classic full-stack work—payment flows, catalog management, order tracking—yet I also need Natural Language Processing woven through the experience so shoppers can search, ask questions and receive recommendations in plain language. A few guideposts on scope • Front end: modern, component-based architecture that renders responsively in the browser and compiles cleanly to native apps (React, Next.js, Flutter or a comparable stack). • Back end: scalable microservices or a well-structured monolith—whichever you can justify—exposed via REST or GraphQL. • NLP layer: semantic search, conversational FAQ and an on-site assistant powered by an open-source LLM or an API such as OpenAI or Cohere, tuned to our product corpus. • Security, payments and analytics wired in from day one, not tacked on later. Deliverables - Wireframes or Figma mock-ups signed off by me - Source-controlled web codebase plus mobile builds ready for App Store / Play Store submission - Deployed, GDPR-compliant backend with automated test coverage - NLP module with documented training/inference pipeline and a simple retraining script - Brief hand-off guide and one live knowledge-transfer session Acceptance criteria • All critical user journeys—browse, search (text and voice), add to cart, checkout—complete in <3 s on a 4G connection. • NLP assistant answers 85 % of test questions correctly using our seed FAQ set. • CI pipeline builds and deploys without manual intervention. If you have shipped cross-platform commerce products and can prove an eye for polished UX as well as strong NLP chops, let’s make this store the one shoppers remember.