Understands natural requests
Customers can ask for product type, budget, dietary needs, local brands, strength, format, and shopping intent without filling out a long form.
GreenSource AI
Help shoppers explain what they want in plain language, then match them to real inventory with controlled AI, deterministic ranking, and retailer-owned product data.
GreenSource AI turns a shopper's request into structured preferences, filters those preferences against the live catalog, and ranks products with transparent reasons.
Customers can ask for product type, budget, dietary needs, local brands, strength, format, and shopping intent without filling out a long form.
The model extracts preferences, but the code chooses from approved catalog data. That keeps recommendations grounded in what the retailer actually carries.
The widget gives shoppers a clear starting point and gives teams feedback on what customers wanted, what matched, and what was missing.
The demo stack already includes password access, age confirmation for cannabis tenants, rate limits, daily usage caps, legal links, and private review collection.
OpenAI keys remain in Render environment variables and never ship to browser JavaScript.
Each retailer can have its own branding, allowed origins, catalog, age-gate setting, and monthly usage budget.
Product explanations use catalog facts and avoid medical, diagnosis, treatment, or guaranteed-result claims.
The same engine can power a regulated dispensary experience or a public wellness catalog by changing the tenant configuration and inventory.
A realistic cannabis retail site with age confirmation, product stats, accessories, review collection, and embedded AI recommendations.
Open dispensary demo
A public-friendly catalog for protein, supplements, candles, teas, snacks, and accessories using the same recommendation pipeline.
Open wellness demoThe website owner adds the embed script, GreenSource AI reads the approved tenant catalog, and the retailer keeps control over branding, access, inventory, and reporting.
Add the embed script to the retailer's website and approve the domain in tenant settings.
Feed inventory through a catalog file, POS export, or future API integration.
Use AI for preference extraction while the local ranker selects products from known inventory.
Review helpfulness signals, missed demand, demo testimonials, and store-level reports.
Use GreenSourceAI.com as the front door, then send prospects into the demo that best fits the conversation. The site can evolve as you collect reviews, beta testers, and retailer introductions.