🧠 Advisor

Know what's working. Fix what's not.

AI that knows your store — what to buy more of, what to cut, which customers to bring back, and which brands are earning their shelf space.

Gut feelings don't scale.

You know your store — but with hundreds of brands, thousands of SKUs, and seasons that move fast, even the best buyers make expensive mistakes.

  • $10K–$20K in dead inventory you can't move
  • Reordering brands that aren't actually performing
  • Loyal customers slipping away unnoticed

With Advisor:

  • Every brand scored on Speed, Popularity, and Profit
  • Clear buy/maintain/cut recommendations
  • Customers segmented and ready to re-engage

Decisions, not dashboards.

Every brand scored on three pillars

Not just numbers — a verdict. Advisor tells you exactly what each brand is doing for your store.

Speed

Turn Rate

How fast is it selling? Slow inventory ties up cash. Fast movers earn their space.

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Popularity

Sell-Through %

Are customers actually buying it? High sell-through means you ordered right.

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Profit

GMROI

Is it making money? GMROI shows how much profit you earn for every dollar invested.

From data to decisions in seconds

Advisor combines the three pillars into a clear strategy for every brand.

⭐ UnicornBuy DeeperAll three pillars green — this brand is a home run
🏆 AnchorMaintainStrong performer — keep doing what you're doing
👀 Watch ListAdjustOne pillar slipping — time to tweak your buy
📉 Dead WeightCutNot selling, not profitable — free up that cash

Ask your store anything

AdvisorAI is a conversational AI trained on your actual sales, inventory, and customer data.

How is VERONICA BEARD performing this season?
VERONICA BEARD is an 🏆 Anchor brand with strong metrics across the board.

Speed: 4.2x turn rate 🟢
Popularity: 73% sell-through 🟢
Profit: $0.87 GMROI 🟡

Selling well and moving fast, but margins are slightly below target. Consider reducing markdowns on this brand — customers are buying at full price, so the clearance sales may be dragging down your GMROI.
Which brands should I cut before next market?
Based on your current data, I'd recommend reviewing these 📉 Dead Weight brands:

1. COASTAL LUXE — 1.1x turn rate, 22% sell-through, $0.31 GMROI
2. SUMMER REEF — 0.8x turn rate, 18% sell-through, $0.22 GMROI

Together they're tying up ~$8,400 in dead inventory. Clearing these at 40% off would recover ~$5,000 in cash for better-performing brands at market.

Everything you need to buy smarter

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StoreIQ Dashboard

Brand performance, inventory health, category breakdowns, and aging reports — all in one place.

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AdvisorAI Chat

Ask questions in plain English. Get answers based on your actual data, not generic advice.

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Buying Strategy Report

Go to market prepared. Brand-by-brand recommendations for what to increase, maintain, reduce, or cut.

ReviewAI

Identifies your happiest customers and generates personalized review requests to boost your Google rating.

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RetargetAI

Finds customers who haven't visited in 60–90+ days and creates win-back messages via SMS or email.

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FirstDibsAI

Matches new arrivals to your VIP customers based on their purchase history. Personalized outreach, automatically.

Connects to your POS automatically

Advisor syncs your sales, inventory, and customer data every night. No CSV uploads, no manual work.

POS Integration

✓ Heartland Retail Live

◦ Shopify (coming soon)

◦ Square (coming soon)

Marketing Integration

✓ Klaviyo Live

Send customer segments directly to Klaviyo for targeted email and SMS campaigns.

Built by a boutique owner, for boutique owners

$20K

Dead inventory our founder cleared after one bad buying season — the mistake that inspired Advisor

3 min

Average time to get a brand performance answer that used to take hours of spreadsheet work

Every night

Your data syncs automatically — Advisor is always working with yesterday's numbers

One bad buying mistake costs more than a year of Advisor

Cancel anytime. No long-term contracts.

Or get Advisor + Orders + SEO for $299/mo with the BoutiqueOS Suite.

Stop guessing. Start knowing.

Your next buying decision is too important for a spreadsheet.

Get Started →