GUIDED SELLING

AI built to sell, not just answer

Most assistants wait for a question. The agent guides every shopper from "just browsing" to checkout in a few taps. No blank text box, no dead ends, no waiting for staff.

Why guided beats an open text box

An empty text box asks the shopper to do the work. A guided flow does the work for them.

OPEN TEXT BOX
  • Shoppers have to know what to ask.
  • Vague queries return vague results.
  • Most people type one message, then leave.
  • No structure means no path to a product.
GUIDED SELLING
  • A few taps: category, effect, potency, budget.
  • Every option reflects what is in stock right now.
  • A ranked shortlist in 10 to 30 seconds.
  • Every shopper reaches a product, not a dead end.

How the guided flow works

Four steps from a tap to a shortlist your shopper can buy from

1. Pick a category

Flower, pre rolls and edibles in a dispensary; face, hair and body in a drugstore; red, white and sparkling in a wine shop. One tap narrows the whole catalog.

2. Choose the effects you want

Calm, energized, focused, sleepy, uplifted. The shopper says how they want to feel, not what chemical to look for.

3. Set potency and budget

Potency ranges scale to the category, and the flow only offers what your live inventory can actually fill.

4. Get a ranked shortlist

A short, scored list of products. Every item is in stock and within purchase limits before it is ever shown.

Smart enough to adapt

The flow bends around your catalog and your rules, not the other way around

Catalog aware options

The flow never offers a choice you cannot fulfill. If sleepy gummies under $30 are sold out, that path does not appear.

Category specific steps

Edibles add a dosage step. Chocolates skip it, because they dose flexibly. The flow fits the product, not a rigid template.

Compliance before checkout

Age verification, daily purchase limits, and state rules are enforced before any recommendation appears.

Some shoppers tap. Some shoppers talk. Both convert.

Guided flow is the fast lane for shoppers who know roughly what they want. Natural conversation handles the ones with questions: "will this help me sleep?", "is this too strong for a first timer?". Same catalog aware agent behind both, so every answer is grounded in live inventory.

It sells, it does not just inform

Every interaction is pointed at a purchase

Match scores

Every recommendation is ranked by fit, so the best option leads.

Cross sell in context

Complementary products and add ons surface at the right moment, not as a popup.

Deep dive Q&A

Shoppers can ask about any single product without losing their place.

+23%
AOV lift
94.7%
Match accuracy
24/7
Always on

Turn browsers into buyers

Connect your catalog and launch guided selling on your storefront. Scoped per store, from a launch on one catalog to a platform fee plus usage.

Business Impact Live
Routine menu Q&A offloaded Up to 47%
Conversion with an AI agent 4×
AOV (engaged shoppers) +25%
Demand signals tracked 477

Routine Q&A benchmark from Ingka Group (IKEA) AI deployments. Conversion and AOV figures from Rep AI 2025 ecommerce shopper report (12.3% vs 3.1% purchase rate; +25% AOV with an AI shopping agent). Demand signals from live dispensary analytics.