TL;DR Summary:

Hammoq ensures high-value donations and returned merchandise are priced correctly with ASP and sell-through information from your own POS.

In resale, underpricing is a silent profit drain—and it occurs more often than most store owners are aware.

When a Patagonia jacket sells for $14.99—when it regularly retails at $34.99 in your own shop—that's not only an opportunity missed. It's lost dollars amplified across hundreds of SKUs, stores, and days.

The conundrum?

Your employees have been trained to tag quickly, not dig deep price intelligence.

But high-donation donations and return items require pricing precision. One price-missed coat does not kill your margin—but 1,000 annually across 30 stores? That's six figures gone.

Hammoq fixes that.

Our AI plugs into your POS, considers 30, 90, and 365+ days of history, and ensures every donation is priced to sell—with no sacrifice to your most valuable inventory.

How It Works: Smart Pricing Powered by AI Day One

Hammoq leverages machine learning trained on your store's history to:

• Evaluate Average Sale Price (ASP) by category, brand, condition, and store
• Mark quick sell-through, high-ASP merchandise
• Warn low-velocity items that historically go on sale

Suggest smart pricing upon intake so every tag retains market value

The system is aware of which pieces sell fast at $24.99… and which ones still sell at $12.99.

Real-Life Scenario: Designer Coat Donations

Let's say your donation center receives:

1 Banana Republic pea coat in good condition

1 no-brand nylon trench in fair condition

1 Patagonia shell with some wear

Manually, they could all wind up priced between $9.99–$14.99, especially if the staff member doesn't grasp brand tiers or price patterns.

With Hammoq:

The Patagonia item gets priced at $34.99, based on 90-day sales history in your local market

The Banana Republic is priced at $18.99, based on past ASP + seasonal demand

The no-brand trench retails for $9.99, a safe low-risk price for typical inventory

This level of precision protects margin, drives sell-through, and avoids donations from becoming unintentional giveaways.

✅ Key Takeaways:

Price high-ticket items with confidence

Eliminate the danger of underpricing premium donations and returns.

Stop losing sales from sloppy tags

Use historical price data instead of employee intuition.

You can rely on your store's actual history of sales

Don't guess off-the-rack based on outside comps—trust what sold previously and for what price.

The Steep Cost of Underpricing

What do you miss when your highest contributions are underpriced?

• You miss $5–$20 of margin on each piece

⏱️ Your employees waste time buying more merchandise to make up lost profits

• You inadvertently train customers to expect high-value merchandise at low prices
• Your pricing team gets frustrated trying to "correct" inconsistencies down the line

Hammoq breaks this cycle by setting the right price upfront—with no guessing.

Scaling the Solution Across Regions

This isn't about one store. Hammoq's AI is designed to serve:

• Multi-store Goodwill territories
• Consignment chains
• Bin stores and liquidation centers
• Vintage and buy-sell-trade chains
• Any multi-store resale business

Each store's price logic is local—but tied to a smart, centralized pricing system.

This enables you to:

Standardize price policy

Have flexibility based on store-by-store performance

Stop leaving money on the floor with every intake cart

The ROI of Smart Donation Pricing

Let's calculate:

If you underprice just 10 high-dollar items per day, you could lose $10–$20 per unit

That's $100–$200/day, or $36,000–$72,000 per year per store

Across 10 locations, the annual loss = $360K–$720K

And that's being conservative.

Now imagine labeling those same products correctly—based on ASP + sell-through information—and capturing 80%+ of that revenue. That's the magic of scale pricing with AI.

What's Next (How To):

Audit sales from the last 30–90 days in high-value categories

(Outerwear, Footwear, Branded Denim, Luxury Handbags)

Identify common items that consistently sell for $20+

Determine what's not being properly pricedList due to manual processes

Hook your POS to Hammoq

Have the AI begin analyzing historic trends by store and category

Test AI pricing on your next high-ASP donation shipment

Compare performance against manually priced merchandise for 2 weeks

Deploy smart pricing rules to all locations

Make data your default, not exception-based tagging

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