TL;DR Summary:
Hammoq frees up resale pricing analysts by automating repetitive tasks—so they can focus on strategy, not spreadsheets.
Longer Description:
If your pricing analysts are spending hours copying data, scanning spreadsheets, or updating price books manually, your business is losing money in two places:
- 💸 You’re overpaying for low-value work
- ⏱️ You’re underutilizing your highest-value thinkers
Analysts shouldn’t be data entry clerks.
They should be using data to drive strategy, pricing innovation, and margin growth.
That’s where Hammoq comes in.
It automates the tedious—but essential—parts of pricing:
✔️ Reading sales data
✔️ Recommending item-level prices
✔️ Populating tag details
✔️ Printing store-ready pricing logic
So your team can stop being reactive—and start being strategic.
🧠 Analysts Were Hired for Strategy. Let Them Do It.
When you hired a pricing analyst, you likely wanted someone to:
- Find margin opportunities
- Optimize pricing windows
- Analyze sell-through by store or category
- Improve tag accuracy at scale
- Align inventory pricing with broader financial goals
But instead, many analysts spend 70% of their time on:
- 📊 Manual data pulls
- 🧾 Spreadsheet formatting
- 🖨️ Tag audits and template edits
- 🔁 Repricing “problem” items one by one
That’s not analysis. That’s admin.
Hammoq handles the admin—so your analysts can focus on what matters.
✅ Key Takeaways:
- Eliminate low-value analyst work
Free your team from copy-paste hell. - Keep analysts in control, not in busywork
Analysts still review and adjust pricing logic—but don’t have to execute it manually. - Scale your pricing ops without extra headcount
Use Hammoq to manage 500 items/day like it’s 50—with the same level of accuracy.
💡 What Hammoq Does for Pricing Analysts
Here’s what the automation layer looks like:
📦 An item is scanned or photographed
🧠 Hammoq pulls from 30, 90, 365+ days of your store’s data
📊 It applies your business’s pricing strategy and category rules
🏷️ Suggests an optimal price and prepares the tag
📈 Analyst can review the logic and override or adjust if needed
You keep control—but gain speed and scalability.
It’s not “AI instead of analysts.”
It’s “AI + analysts, working better together.”
🔁 Before & After Snapshot
Before Hammoq:
- Analysts update pricing charts every week
- Repricing takes hours per category
- No centralized view of how pricing decisions are made
- Strategy is reactive, not proactive
After Hammoq:
- Tag logic auto-generated per item
- Analyst sets pricing direction, not individual tags
- All pricing logic is transparent and traceable
- Strategy moves from item-level to store- and category-level optimization
📉 The Real Cost of Analyst Admin Time
Let’s say a pricing analyst spends:
- 3 hours/day on tag reviews
- 2 hours/day on pricing spreadsheet updates
- 1 hour/day fielding staff questions about pricing logic
That’s 6 hours/day—or 30 hours/week—spent on tasks a machine could automate.
Even at $30/hour, that’s:
- 💸 $900/week in low-leverage labor
- 💸 $46,800/year per analyst
- Not including the opportunity cost of not doing margin-boosting work
Hammoq replaces that admin layer—without replacing your people.
🛍️ Who This Is Built For:
Hammoq’s automation layer is ideal for:
- 🧠 Resale pricing analysts managing 10+ categories
- 📊 Finance teams supporting pricing across regions
- 🏪 Multi-store operations needing tag consistency
- 🧾 Franchise resale brands with decentralized teams
- 🛍️ Anyone scaling resale volume without scaling headcount
If your analysts are spending more time formatting than forecasting, Hammoq is your next hire.
🚀 What’s Next (How To):
- Review analyst time spent on pricing tasks
Track how much of their day goes to admin work - Let Hammoq handle the automation layer
Start with a high-volume category (denim, outerwear, shoes) - Reallocate talent to high-impact work
Shift analysts toward seasonal planning, pricing experimentation, and strategy development
Monitor the performance of automated pricing recommendations
Track ASP, sell-through, and margin retention post-rollout
