We've reimagined cannabis shopping with an AI-powered product search engine. Say goodbye to filters and confusing menus - just type what you're looking for. Use natural phrases like “strong hybrid with fruity flavor” or “chill edibles under $30.” Our system understands your intent, no matter how you phrase it. It instantly delivers accurate, relevant, and personalized results. This saves you time and removes guesswork from the buying process. Explore more confidently with intelligent recommendations at your fingertips. Designed to bridge the gap between what users want and what products offer. Perfect for new users and seasoned shoppers alike. A smarter, faster, and more intuitive way to find the right cannabis products.
Technology:
Angular, Node.js, MongoDB, Open AI
Industry:
Canbbis Product
Built for:
Mobile and Web
Access:
Worldwide
The platform is also built as a Progressive Web App (PWA), ensuring users enjoy a native app-like experience with offline access, push notifications, and blazing-fast load times across all devices.
We integrated OpenAI's advanced language models to parse natural language into structured search intents. This allows users to type conversational phrases, and our engine returns highly relevant product suggestions in real-time - making search feel effortless.
Our custom search pipeline maps AI-extracted tags to product attributes using MongoDB queries. Combined with optional Algolia fallback, the system delivers accurate and fast search results based on effects, strains, budget, and flavor preferences.
We built the platform as a fully functional Progressive Web App (PWA), enabling offline access, push notifications, and installable mobile experiences - all while maintaining fast performance and native-like responsiveness across browsers and devices.
Crafted with Angular and Bootstrap 5, the UI follows a mobile-first design strategy. Every component is responsive and modular, offering an intuitive browsing experience with adaptive layouts for smartphones, tablets, and desktops.
Built on Node.js and Express, our backend ensures secure data flow with token-based authentication, role-based access control, and API rate-limiting - enabling scalable performance while protecting user data and transaction integrity.
We seamlessly integrated Stripe, Twilio, Firebase, and OpenAI to handle payments, notifications, push services, and natural language search - allowing us to deliver enterprise-grade features without added infrastructure overhead.
A Partnership of Vision and Expertise
Green Releaf envisioned a smarter, more intuitive way for customers to explore cannabis products. CodesClue stepped in with the technical expertise to turn that vision.
Together, we designed a platform where real human behavior drives product discovery. Our AI-powered natural language search ensures users find exactly what they need.
While Green Releaf brought deep market insight, CodesClue delivered future-ready tech - PWA architecture, smart search engines, and a backend that scales with growth.
This project was a true partnership, rooted in open communication and agile development. Every milestone was co-shaped, tested through continuous feedback from Green Releaf's leadership.
Powering Green Releaf's Digital Ambitions
We started by aligning with Green Releaf's goal: to simplify cannabis discovery using natural language, intuitive UX, and high-speed performance.
Our team crafted a custom search pipeline powered by OpenAI that translates conversational phrases into structured product filters in real time.
Using Node.js and MongoDB, we built a secure and modular backend architecture, supporting seamless product management, orders, and AI integration.
We used Angular 16 with SSR to create a fast, responsive, and installable Progressive Web App, ensuring smooth user experiences across all devices.
Third-party APIs like Stripe (payments), Twilio (alerts), OpenAI (search), and Firebase (push notifications) were integrated for end-to-end functionality.
The system underwent thorough testing for mobile responsiveness, load speed, security, and regional compliance, ensuring it was user-ready.
After a successful rollout, the platform is live with a strong foundation ready for future expansion, multi-location support, and evolving customer needs.
A Deep Dive into the Architecture and Core Features
Our platform redefines search by allowing users to type naturally—like “sleep gummies under $25” or “strong hybrid for creativity.”
Using OpenAI's NLP, the system extracts the user's intent, effect, budget, and strain type, instantly matching it with products in the database.
Built as a Progressive Web App (PWA), the platform provides a smooth, installable experience right from the browser.
Users benefit from offline access, background caching, faster load times, and push notifications—without needing to download from the app store.
Each product is categorized by AI and admin rules across multiple attributes: strain type, flavor profile, effects, THC/CBD percentage, price range, and more.
The platform learns from users' search history, product views, and previous orders to recommend more relevant products.
Designed with dispensary operations in mind, our system offers real-time inventory updates, SKU-based tracking, and region-specific availability rules.
Admins can define delivery zones, pick-up windows, and even set rules by state or product type.
From Thought to Purchase Effortlessly
Users type casual, everyday phrases like “chill edibles for weekend” or “pre-rolls for anxiety relief.”
Our NLP engine decodes the phrase—detecting product type, effects, flavor, potency, and price preferences.
The system transforms intent into dynamic search filters and queries the product database in real time.
Behind the scenes, relevant tags like “indica,” “sleep,” or “under $30” are matched—no manual selection needed.
AI ranks and displays products based on relevance, availability, and past user behavior for faster discovery.
Users can instantly checkout, schedule in-store pickup, or request home delivery based on location and regulations.
User behavior is remembered—suggestions improve with each visit through behavioral learning and micro-targeting.
Age verification, region checks, and compliance rules ensure everything is safe, legal, and ready to ship.
Typography & Colors
Font-Family: Poppins
Tech Stack & Third-party APIs
For building responsive, modular frontend components with powerful reactive forms.
High-performance backend handling API requests, authentication, and server-side logic.
Cloud-hosted NoSQL database for storing product data, user profiles, documents.
Facilitates sending messages and notifications across to PWA application.
Styling framework for consistent, responsive UI design.
Hosting, file storage, and DNS routing configured with scalability and uptime in mind.
Powers natural language search and product recommendation through conversational AI.
Enables store locator with state-wise filtering and geo-based discovery.
For OTP-based verification, email triggers, and user notifications.
Supports secure checkout and digital payment processing (if integrated or planned).
Handles bulk email delivery and push notifications.
Handles document/image uploads for patient verification and onboarding.
External API for validating patient documents during onboarding (e.g., GreenID, Veriff).