Your customer doesn't buy a protein. They buy a stack.
Supplements buyers don't shop SKU-by-SKU. They build stacks: protein + creatine + electrolytes, or magnesium + zinc + vitamin D, or NMN + resveratrol + spermidine. MarketBasketAnalysis mines the actual stack patterns from your order history and proposes recurring bundle subscriptions tuned to each customer cohort.
(Plugs into Recharge / Loop / Smartrr)
Why this fit
Supplements economics live or die on subscription LTV. Single-purchase customer = $40 AOV; recurring stack subscriber = $240 LTV in twelve months. Most recommendation engines optimize the single-purchase cross-sell. We optimize the stack-and-subscribe move: which products go together AND repeat together, which complements drive the highest probability of converting a one-off to a subscription, and what replenishment cadence matches each customer's actual usage pattern.
The right primitives for the job
Stack-pattern mining
Mines the actual combinations your customers buy together. Surfaces the protein+creatine+electrolytes pair every gym brand knows, plus the niche ones (NMN+spermidine, magnesium glycinate+L-theanine) you wouldn't have guessed.
Subscription-conversion focus
Bundles ranked not just by purchase confidence but by subscription-conversion probability. A bundle that converts 8% of subscribers beats one that converts 30% of single-purchase carts, every time.
Replenishment timing
predict_reorder ML model predicts the actual cadence for each customer's stack. Pre-populates the subscription frequency that matches their usage instead of forcing them into a 30-day default.
Native bundle products
Bundles ship as Shopify Bundle products with AI-generated stack copy. Plug Recharge / Loop / Smartrr on top for recurring billing. Or use Shopify Subscriptions directly.
Compliance-aware copy
AI bundle copy generator respects FDA structure/function rules. No "treats," no "cures." Pulls language patterns from your existing PDP copy so brand voice stays consistent.
First-party data
Mining runs on your own infrastructure (WC, Magento) or in your isolated Shopify backend. Your customer's stack history never enters a shared training pool.
What you skip
The friction we're explicitly cutting out.
- Per-impression billing on your subscription-page traffic
- Hand-curating stack bundles you guess at
- Generic LLM-suggested stacks that include products you don't sell
- Pooled-model recommendations that surface competitor stacks
- Re-merchandising when a hero SKU sells out
Want the full buyer's guide?
Three free guides cover the math + the vendor landscape: agentic-commerce in 2026, MBA vs Bloomreach, and the pricing math vs the Glood / Rebuy / PickyStory cluster.
Browse the resource hubFirst purchase: a single protein. Twelve months later: a $240 stack subscription.
$49/month flat. Plugs into Recharge / Loop / Smartrr / Bold Subscriptions on day one. Mining + native bundle push + subscription-aware reorder prediction. No usage caps, no rev share on the subscription revenue.
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