TL;DR Summary:
Hammoq gives you full transparency into how prices are set—so resale analysts can see the logic, adjust rules, and stay in control.
Automation doesn’t have to mean letting go of control.
In fact, with Hammoq, it’s the opposite.
You keep all the pricing strategy you’ve built—and get faster execution, clearer visibility, and better consistency across your floor.
Too often, resale retailers assume AI pricing means:
- ❌ Losing visibility into price logic
- ❌ Not understanding how tags are generated
- ❌ Surrendering control to a “black box” system
Not with Hammoq.
Our system was designed for analysts, operators, and strategy leads—those who want automation and transparency.
🧠 See Exactly How Every Price is Chosen
Here’s how Hammoq works behind the scenes:
- It pulls 30, 90, and 365+ days of your actual sales data
- Analyzes ASP, sell-through, brand performance, and seasonal shifts
- Reviews local store-specific behavior
- Applies your store’s strategy (e.g., aggressive sell-through vs. margin-maximizing)
- Tags the item with a suggested price
- Shows exactly how and why that price was selected
Need to adjust? You can.
Want a different rule for shoes vs. outerwear? Easy.
Prefer more aggressive markdown logic on low-turnover inventory? Just toggle it.
Hammoq isn’t just smart—it’s coachable.
✅ Key Takeaways:
- Keep full visibility into pricing decisions
Every price suggestion includes an audit trail of what influenced it. - Adjust logic without slowing operations
Pricing rules can be changed without requiring re-tagging or system resets. - Give your team smarter tools, not black boxes
Analysts and managers stay in control while automating the most time-consuming parts.
💡 Built for Resale Analysts
Hammoq replicates the logic of your sharpest pricing mind—but at scale:
- What your analyst would do for 1 item in 2 minutes, Hammoq does for 500 in an hour
- It applies your pricing philosophy, customized per category, brand, or store
- Analysts can review, approve, or override tags anytime from the pricing dashboard
It’s not “AI vs. humans.”
It’s “AI + humans,” working faster and smarter together.
🔁 Before & After Snapshot
Before Hammoq:
- Pricing analysts review spreadsheets daily
- Staff enters pricing decisions manually into tags
- Category logic changes take hours to distribute across stores
- Limited visibility into why something was priced at $7.99 vs. $9.99
- Risk of overpricing or underpricing valuable donations
After Hammoq:
- Analysts see pricing justifications in a click
- Rules can be customized by brand, condition, location, or season
- Every tag printed reflects strategy + performance
- Pricing becomes scalable, auditable, and clear
🛍️ Who This Is For
Hammoq’s transparent automation system is ideal for:
- 🧠 Pricing analysts managing resale strategies
- 🧾 Operations directors scaling multi-store consistency
- 🧥 Franchise resale owners who need oversight across locations
- 📊 Data-driven managers who want automation they can trust
- 🛍️ Nonprofits and thrift chains protecting donor value through fair, accurate pricing
If your team says “I want automation, but I still need control”—this is it.
📉 The Cost of “Black Box” Automation
Too many tools force you to choose between speed and strategy.
You either:
- Let automation run without context
- Or slow everything down trying to double-check it
With Hammoq, there’s no guessing.
You’ll always know:
- Where a price came from
- What rules were applied
- Which historical sales data influenced it
- When and why the logic was updated
And yes—your team can adjust all of it.
🚀 What’s Next (How To):
- Review Hammoq’s pricing transparency dashboard
See how pricing logic is visualized and tracked - Set logic preferences per category or brand
Choose between aggressive, moderate, or conservative strategies - Test overrides and audit flows
Let your pricing analyst experiment with rule adjustments and overrides - Track margin retention, consistency, and output speed
See how AI-driven tagging compares to your current manual process
