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AI Product Recommendations

for

Cannabis E-Commerce

Transform your e-commerce experience from a static menu into a personalized digital concierge service. Our AI Product Recommendation engine analyzes purchase history, real-time consumer behavior, trending products, and enriched data to deliver hyper-relevant suggestions that drive loyalty and increase average order value.
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Curate the Customer Journey

Our AI recommendation engine doesn't just show products; it understands intent. Here is how it automates the shopping experience at every pivotal touchpoint.

The "Discovery Engine”

Greet customers with a "Recommended for You" section to reduce choice paralysis. New visitors engage with curated trends and top-shelf favorites, but the AI ignites after their first purchase, unlocking hyper-personalized recommendations tailored to their preferences.

The "Perfect Match"

Don’t let customers forget the essentials. Our “complement your cart” AI surfaces convenient suggestions based on the specific items in their cart—driving up the cart size without slowing down the checkout flow.

The "Last Look"

Maximize final checkout value. Before the final "Place Order" click, AI performs a quick scan of the cart and populates the "In Case You Missed It" section with low-barrier, high-margin products like pre-rolls or beverages to bridge the gap.

Infusing AI into the E-Commerce Ecosystem

In our e-commerce ecosystem, personalization isn't a silo—it’s a thread that runs through every digital interaction. Our AI centralizes customer data to ensure that a preference discovered on your website menu is instantly reflected on your self-serve kiosk and synced to your branded mobile app. This continuity means curated recommendations follow your customers wherever they shop, creating a seamless, high-velocity experience that drives loyalty across every platform.

E-Commerce Menu

AI Product Recommendations demystify your menu by surfacing "Picks for You" categories at the top of the menu, turning a complex catalog into an approachable, guided shopping experience.

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Mobile App

Since mobile app users are your most loyal segment, our AI leverages their rich purchase history to power a "For You" feed so precise it feels like a personal concierge in their pocket.

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Self-Serve Kiosk

The kiosk instantly recognizes checked-in customers, surfaces their personal favorites alongside top-sellers, and guides first-time shoppers toward trending products — reducing friction and accelerating transaction times.

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Integrated Insights: The Feedback Loop

Our AI Product Recommendation engine feeds data back into your POS, providing your management team insights on exactly which products the AI is successfully upselling so you can adjust your wholesale purchasing strategy.
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Deploy BLAZE AI Recommendations in minutes and join the ranks of high-velocity retailers who are out-pacing the competition through pure innovation.
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Frequently Asked Questions

When a customer has no purchase history, our AI utilizes “Collaborative Filtering.” It analyzes real-time trending data and “wisdom of the crowd” metrics from your specific location to surface products that are currently high-velocity or popular among similar buyer personas.
Never. E-commerce is natively integrated with your inventory management system. It performs a real-time “inventory check” before displaying any recommendation, ensuring that customers are only ever enticed by products that are currently sitting on your shelves.
Yes. This is a core part of our Compliance-First logic. The POS calculates the “equivalence weight” of items already in the cart and suppresses recommendations that would cause the customer to exceed legal daily limits, preventing friction at the final checkout stage.
Instead of just showing random items, the AI uses Basket Analysis. If a customer adds a “high-maintenance” item like a concentrate, the AI intelligently suggests necessary companions like dab tools or torches. If they add flower, it might suggest rolling papers or a humidity pack.
The AI Product Recommendations engine is built for high-velocity retail. It begins analyzing your inventory and transaction patterns the moment it’s activated. While it becomes “smarter” with every transaction, it provides immediate value on Day 1 by leveraging our aggregate industry data to identify standard product affinities and trending categories unique to your region.
Security is our baseline. BLAZE uses anonymized data points to train its models and adheres to strict privacy standards. We focus on shopping patterns and product preferences to drive sales without compromising individual consumer PII (Personally Identifiable Information).

The same intelligence powering your website feeds into your Self-Serve Kiosks and POS. When a customer checks in, your staff can see “AI Suggestions” on their terminal, allowing them to make expert-level recommendations that align perfectly with the customer’s digital browsing history.

Yes—and it’s even more powerful there. Since mobile app users are typically your most loyal customers, the AI has a much richer dataset to pull from. It uses their full transaction history to create a “For You” feed that feels less like an ad and more like a personalized concierge service.