01 · The hidden cash problem

Your warehouse is sitting on millions in stuck inventory.

Some SKUs won't move on their own. The default playbook is a flat 35% markdown for everyone. It ships the stock but tanks the margin and trains shoppers to wait for the next sale. The real cost is the working capital those SKUs were holding hostage.

Variant-level intelligence

Drill in to the size, colour, and SKU.

One product hides five different problems. L is sitting on 10,015 units. XL is sold out. S is barely a rounding error. Each variant has its own buyer pool and its own clearance moment.

  • L and M hold ~90% of the stranded value, with a different audience for each.
  • XL is sold out. That is a restock signal, not a clearance one.
  • S and XXL need niche outreach to their existing buyer profile.

02 · How llea matches buyers to stuck stock

Seven matching signals, one matched audience.

Mass discounts assume everyone is the same buyer. The reality is that for any specific SKU, a few hundred shoppers in your existing customer base are the right audience. llea finds them across seven signals, grouped into three streams, and combines the results.

Past behaviour

46 buyers · what they have done before

Co-Purchase Affinity

Customers who bought items frequently paired with this product. The stuck SKU is a natural next purchase for them.

Discount Responder

Customers with a history of buying on promotion. The right audience when a small markdown unlocks the conversion.

Profile & fit

53 buyers · who they are and where

Variant Match

Shoppers who own a related size, colour, or earlier model. One step from a refill, an upgrade, or a sibling variant.

Geographic Match

Customers in regions where this product typically performs well. Climate, sizing tilt, or local taste all factor in.

Brand & Category

Customers loyal to this brand or its parent category. They already trust the line, so a new SKU is an easy ask.

Predicted intent

1 buyer · who is about to buy

Predicted Purchase

Customers predicted to buy within the next 14-day window, based on their store-specific intent model.

High Intent Score

Customers whose PostHog interest score is above the configured threshold. The smallest, sharpest cohort.

03 · The right shoppers, segment-aware

1,000 buyers, ranked. Not 100,000 unsubscribers.

Every matched customer comes tagged with their behavioural segment: Hesitant Explorer, Impulse Buyer, or Researcher. The outreach copy adapts to each. The Hesitant Explorer needs reassurance, the Impulse Buyer needs urgency, the Researcher needs the spec sheet. Three messages, one matched audience.

The real matched-customer view. Each row shows the match reason, the shopper's segment, and the spend signals that drive the outreach copy.
🤔
Hesitant Explorer

Browses repeatedly, abandons cart, low discount usage. Needs reassurance: reviews, fit notes, return policy.

Impulse Buyer

Short consideration cycles, high discount sensitivity. Needs urgency: limited stock, 48-hour window, scarcity signals.

🔍
Researcher

Long sessions on PDPs, reads specs, compares variants. Needs detail: materials, sizing, technical depth.

04 · The impact on your P&L

Recover capital. Save margin. Free the shelf.

Three numbers your finance team will recognise, pulled straight from how stores in the llea.ai cohort have actually performed on clearance cycles.

60%
Capital recovered

Stuck inventory cleared in the first 90 days on a typical store, without a blanket markdown.

Margin saved

Targeted clearance closes at ~15% markdown versus the 35% industry average. The margin stays with you.

Faster turnover

Sell-through velocity on stuck SKUs roughly triples once outreach is matched to the buyer pool that wants them.

05 · Inside the engine

From stuck SKU to delivered offer, end-to-end.

Detection runs continuously. Matching fires the moment a stranded SKU is flagged. The AI Composer then drafts a multi-stage nurture sequence in your brand voice and renders it across Email, SMS, and WhatsApp. Delivery hands off to the channels you already own, timed for each shopper.

Inside the AI Composer

Three nurture stages, three channels, one brand voice.

The same matched shopper sees a warm welcoming intro on day 0, a scarcity reminder around day 5, and a final-hours nudge before the window closes. Every stage is auto-composed for Email, SMS, and WhatsApp using your brand voice, accent colour, and chosen tone.

Every stage and every channel is auditable. Click any matched customer to see which signals put them in the audience. Click any composed message to see the tone, the brand variables, and the variant it references. No black box.

06 · Plays well with your stack

Works with every marketing app on Shopify.

llea.ai plays well with all your favourites. With built-in integrations and flexible APIs, connect your tools, sync your data, and scale your stack, with no rip-and-replace or extra workflows to maintain.

Shopify
Klaviyo
Mailchimp
Omnisend
Privy
Drip
ActiveCampaign
Postscript
Shopify
Klaviyo
Mailchimp
Omnisend
Privy
Drip
ActiveCampaign
Postscript
Attentive
PushOwl
Yotpo
Shopify
Klaviyo
Mailchimp
Attentive
PushOwl
Yotpo
Shopify
Klaviyo
Mailchimp

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