TL;DR Summary:

Hammoq replaces price guessing with finance-caliber reasoning—machine learning to calculate price tags from the sales history of each store.

Every donated item that lands on your intake table is a small financial opportunity. But the opportunity's potential value remains trapped until the item is correctly priced.

Mark it up too much? It collect dusts on the rack.

Mark it down too much? You lose margin.

Guessing is not only dangerous—it's expensive.

That's why Hammoq built a wiser way forward: AI-powered clothing tagging that treats each item as an investment decision.

With Hammoq, your store gets an on-call pricing expert—one that never sleeps, never guesses, and provides pricing recommendations based on your store's own sales history.

Here's how it works

Real Example:

A women's Banana Republic blazer arrives in your sorting table.

Usually, the price might be determined by who's working that shift, how much business there is, or whatever the last one went for. But with Hammoq:

An employee uploads a picture via the Hammoq app.

The AI recognizes the product as a Women's Blazer | Banana Republic | Good Condition.

It looks up your store's historical POS data for similar products.

Here's what it finds:

Blazers that sold for $9.99 sold slowly (20-day average)

Blazers priced $14.99 moved 38% more than comparable products

From that performance in the real world, Hammoq advises $14.99—not an industry average, nor a guess, but what's selling at your store. 

A tag label is instantly printed with category, brand, size, and optimal price. 

✅ Key Takeaways

Pricing logic tailored to your store’s past performance: No two stores are the same. Hammoq learns your local market, pricing trends, and turnover timing.

Every item treated like a P&L decision: You’re no longer pricing for convenience—you’re pricing for profit.

Eliminate guesswork, improve sell-through: Smarter tags lead to better decisions, faster inventory turnover, and stronger margins across the board.

Why This Matters:

Thrift shops and resale operations operate in a thin margin, high-volatility environment. The quality of your price decisions directly affects how fast your merchandise moves and how much money it makes.

And while some stores employ static pricing tables or employees' judgment, Hammoq employs machine learning that gets better every day to make the process automated.

This process goes beyond condition or brand—taking into account:

Store-specific sell-through rates

Average sale price by category

Time to sale

Historical performance of individual SKUs and item types

That's not guesswork pricing. That's confident pricing.

What's Next (How To):

Connect your POS system to Hammoq's AI platform so it can begin to analyze your store's real-world performance data.

Let Hammoq determine what works best for your store—by brand, category, and condition level.

Start printing wiser tags in a few clicks—no spreadsheets, no second-guessing.

Over time, Hammoq will diversify its pricing policy—shifted based on seasons, fashions, as well as donation trends that could be store-specific.

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