TL;DR Summary:

Used goods are a growing retail category—but pricing and labeling it at scale requires the force of automation. Hammoq unlocks recommerce profitability by automating the resale value of every item.

The resale economy is no trend—it's a movement. As consumers embrace sustainability and enjoy shopping, second-hand fashion has transitioned from "thrifted" to "curated." Resale now brings in billions of dollars in revenue on marketplaces, chains, and boutiques.

But what's behind the scenes, most recommerce businesses are struggling to keep up.

Why? Because manual pricing doesn't scale.

Even expert teams can only tag so fast. Worse, manual tagging also means inconsistent pricing, misestimated value, and unsold stock. Multiply that across thousands of one-off items, and profit opportunity soon gets eaten up by labor and inefficiency. 

That's where Hammoq comes in— automating every element of recommerce pricing and tagging.

How It Works:

Let’s say a pair of gently worn Levi’s jeans arrives at your intake table.

Normally, pricing would rely on:

• Who’s working that day
• Their instinct for brand and condition
• A printed chart or outdated price guide
• With Hammoq, here’s what happens instead:

A staff member uploads a photo using the Hammoq mobile app.

AI analyzes the image for key details:

• Condition
• Brand (e.g., Levi’s)
• Type (e.g., Straight-Leg Jeans)
• Size and gender

The system pulls your store’s real sales data for similar denim over the past 30–90 days.

A tag is printed instantly—priced not by guesswork, but by what sells, how fast, and at what margin.

Let’s say your system sees the following:

Levi’s jeans in “Good Condition” have a 74% sell-through at $14.99

Those priced at $9.99 linger 2x longer

Those priced at $19.99 sell well—but only in smaller sizes

The AI will choose $14.99 for this specific pair—because it’s the sweet spot between margin and velocity for your audience.

Now imagine that same logic applied across outerwear, dresses, vintage tees, or handbags. You’ve just scaled a pricing department without hiring anyone.

✅ Key Takeaways:

Automate used item pricing without sacrificing quality: Consistent, data-backed pricing in seconds—not hours.

Scale recommerce with confidence: Don’t let manual bottlenecks limit growth.

Price to performance—not emotion: Every price is backed by your store's ASP and item-level sell-through.

Why It Matters:

In recommerce, margin is in the middle—in between under- and over-pricing.

Manual tagging produces unbalanced results: some things sell immediately, but others sit around for months. Hammoq reduces this friction by acting as a virtual merchandiser, applying machine learning to determine what each product should be worth based on the way your customers have interacted with similar products.

This isn't the story of people being replaced by algorithms—it's the story of making your staff smarter, quicker decision-makers, and freeing them up from drudgery such as sourcing or customer service.

What's Next (How To):

Pilot Hammoq AI tagging on a high-volume category (begin with denim, outerwear, or women's tops).

Compare AI-tagged product vs. human-priced product for 30 days.

Track sell-through, dollars, and labor saved. All three improve measurably for most retailers.

‍