Building Cyber Monday Discounts on Shopify With Flowly's AI Assistant

Building a discount rule node by node, Start, Condition, Apply Discount, is genuinely fast once you know the system. It's still an extra step compared to just describing what you want. Flowly includes a chat box next to the canvas specifically for that: type the offer in plain English, and the assistant builds the Start, Condition, and Apply Discount nodes automatically, running on the same Shopify Discount Function framework as every manually-built rule.

Here's how the assistant actually works, what it can and can't do, and how to use it to move fast on Cyber Monday-specific offers.

How does Flowly's AI assistant turn plain English into a working discount flow?

The assistant reads a natural-language request, identifies the intended condition and action, and builds the corresponding Start, Condition, and Apply Discount nodes on the canvas automatically, the same node types a merchant would place manually. Flowly's own documentation gives a direct example of what this looks like: typing "if the customer buys a product from my Bestsellers collection, give them 40% off my Accessories collection" produces a working flow without the merchant touching the canvas at all.

This isn't a separate, simplified version of the discount engine, it's the same underlying node system, condition tree, and compilation pipeline that manual building uses. The assistant is a faster way to reach the same result, not a different, more limited one.

What happens if the assistant can't identify a specific product or collection by name?

If the assistant can't find a collection or product matching the name used in the request, it asks for the exact name before building anything, rather than guessing or building an incomplete flow. This matters for accuracy specifically. A request like "give VIP customers a discount on my winter stuff" is ambiguous enough that the assistant would need clarification on which exact collection "winter stuff" refers to, rather than building a flow against a guessed match that might not be the intended collection at all.

What kinds of Cyber Monday requests work well with the assistant?

Requests that map cleanly to Flowly's existing condition and action set, spend thresholds, vendor or collection restrictions, delivery country targeting, gift card exclusion, work well, since the assistant is building from the same building blocks available manually, not inventing new capability. A request like "tiered discount, 10% off $100 and up, 20% off $200 and up" maps directly to Flowly's own documented ready-to-build example. A request implying a feature not yet available, "give a free product when they buy two," references Buy X Get Y, which Flowly's documentation confirms isn't exposed at launch, so the assistant can't build that specific mechanic yet regardless of how the request is phrased.

How do you use the assistant to build a Cyber Monday-specific offer quickly?

Describe the offer the same way you'd explain it to a colleague, spend threshold, restricted collection or vendor, country or gift card exclusion, and let the assistant translate that into the node structure, then review the built flow before saving to confirm it matches what was actually intended. A practical Cyber Monday sequence:

1. Open Flowly and type a request matching your intended offer, for example: "Free shipping to Germany, France, and Italy" or "Skip gift cards, then 15% off everything else," both close to Flowly's own documented examples.

2. Review the flow the assistant builds, confirming the Condition node's logic and the Apply Discount node's action and target match the intended offer.

3. Adjust manually if needed, the assistant-built flow uses the same nodes a manual build would, so any node can be edited directly afterward.

4. Save. The same validator, compiler, and Shopify Function pipeline processes an assistant-built flow identically to a manually-built one.

Does using the assistant skip the validation and testing step?

No. Every flow, whether built manually or through the assistant, passes through the same validator checking shape, cardinality, and condition-target compatibility before it compiles into a live rule, and testing the built flow against a sample cart before Cyber Monday traffic arrives remains worthwhile regardless of how the flow was created. This mirrors the same discipline Shopify's own guidance recommends for any discount logic before it goes live: build, then verify against a real cart, rather than trusting configuration alone. The assistant speeds up construction, not verification. A flow built in ten seconds by the assistant still deserves the same review a manually-built flow would get before it's live on real customer carts during peak traffic.

FAQ

Can the assistant build a multi-tier discount structure in one request?

It depends on how the request is phrased. A single request describing a full tiered structure, matching Flowly's own "20% off $200+, 10% off $100+" example, can likely build both tiers, though reviewing the resulting flow to confirm both tiers were captured correctly is worth the extra step.

Does the assistant work for every discount class, or just Product discounts?

The assistant's one directly documented example, building a flow from "if the customer buys a product from my Bestsellers collection, give them 40% off my Accessories collection," is a Product-class request. Flowly's documentation doesn't explicitly confirm the assistant has been tested against Order-class or Shipping-class requests specifically, though since it's generating the same node types either way, there's no obvious reason a shipping- or spend-related request would be out of scope. Reviewing the built flow before saving matters more here than for a Product-class request, given this isn't confirmed territory.

Is there a cost to using the AI assistant, separate from Flowly itself?

No. Flowly is free, and the assistant is part of the same app, not a separate paid feature layered on top.

Should a store rely entirely on the assistant, or learn the manual canvas too?

Both are worth knowing. The assistant is faster for straightforward requests, but understanding the underlying node system helps when reviewing what the assistant built, or when a request is specific enough that manual adjustment after the initial build makes sense.

Where this fits into a bigger Cyber Monday picture

However fast the discount gets built, it's still solving the same problem: getting someone to buy once. The AI assistant makes Cyber Monday's discount side faster to execute, but speed on discounting doesn't address what happens after the sale ends. That's a separate, bigger question, and it's the one Subscribfy is built to answer: turning the customers a fast, well-built Cyber Monday discount brings in into members with recurring revenue instead of one-time buyers. Across Subscribfy's client base, paid membership programs consistently drive member cohorts that outperform non-members by 2 to 4x across every metric that matters, a gap discounting alone never closes.

Download Flowly directly from the Shopify App Store to try the AI assistant on your own Cyber Monday offer, or book a call with Subscribfy's team to talk through the membership layer that comes after the discount.