TL;DR Summary:
Hammoq auto-prices products from images using your store's historical pricing history—so all products hit the floor priced to sell.
In thrift, nothing leaves until the tag prints.
And for most retailers, tagging is the slowest and most manual part of inventory movement.
You have rows of donations.
Your staff sort, then estimate a price.
Then personally select a tag template…
Then print.
Sometimes they under-price. Sometimes they over-price.
And it's dependent on who works that day.
What if your tags weren't an instinct?
Hammoq automates tagging with two simple pics—plus your store's real sales history.
That is, every item is priced using the same standard:
What really sold well at your store in the past.
Why Tagging Is a Bottleneck
Most resale operations run like clockwork until pricing time.
This is what happens:
- Intake and sorting are fast
- Tagging takes time and mental effort
- Staff guesses the price or references a cheat sheet
- Tag is printed manually, often inconsistently
- Items wait on tagging, not sourcing or processing
Multiply that by 500+ items a day, across multiple stores—and you’ve got a serious slowdown.
And the inconsistency? It affects customer trust, sell-through rate, and overall revenue.
Hammoq: Photo-Based Tagging That Gets Smarter Over Time
Here’s how Hammoq fixes it:
- Staff takes 2 quick photos of the product
- Front/back or angled/detail shots
Hammoq AI identifies:
- Brand
- Category
- Size
- Gender
- Condition
It checks your POS system:
Finds average sale price (ASP) for comparable product
Sees category- or condition-based sell-through rates
Determines optimal price point based on real results
It generates a tag with:
- Smart price
- Entire item attributes
- Brand + condition expressed clearly
You get an instant-to-print label that's smarter, faster, and more consistent—across all locations and staff.
✅ Key Takeaways:
- Tag faster using AI-trained photo logic
- Snap, tag, and out—no guesswork or manual lookup.
- Let sell-through dictate price, not assumptions
- No more delay in markdowns or underpricing.
- Improve consistency among locations and team members
- Enjoy consistent pricing logic—even with new hires.
Snapshot: Before & After Hammoq:
Before Hammoq:
Relying on staff experience when tagging
Manual processes slow down shelf-readiness
Too low or too high prices
Inventory delays = missed sales
After Hammoq:
- AI labels each item based on real sales history
- Merchandise makes it to the floor same-day
- Pricing is based on performance, not guesswork
- Shoppers trust the prices—and merchandise sells faster
The Hidden Cost of Guesswork
Let's say 100 items/day are labeled $2–$3 low due to manual labeling.
That works out to:
- $200–$300/day in missed sales
- $6,000–$9,000/month
- $72,000–$108,000/year—per store
And that doesn't even account for:
- Labor hours lost on slow labeling
- Overpriced merchandise discounted later
- Lost margin due to inconsistency between stores
- Hammoq protects your margin while speeding up operations.
Who This Most Helps:
Hammoq's tagging AI is ideal for:
- Multi-location thrift stores
- Donation-driven retail companies
- High-volume consignment stores
- Franchise resale models needing constant pricing
- Stores that track ASP and sell-through but can't react fast enough
If your floor lives on tagging velocity—but you require pricing accuracy as well—Hammoq has you covered.
What's Next (How To):
Upload a trial batch of 50 items for AI tagging
Test different categories like denim, jackets, or footwear
Compare tag price and sell-through rate
Track how fast AI-tagged products sell compared to physically tagged products
Track shelf-to-sale cycle time
Track how fast AI-tagged items cycle through inventory
Deploy tagging logic storewide
Create tag templates by category, brand, or season
