Most ecommerce sellers obsess over traffic metrics: sessions, CAC, ROAS.
But there’s a quieter line item almost nobody tracks:
How much money leaks when inventory and prices drift out of sync across channels.
Not the big obvious disasters. The small stuff that happens every week:
- Oversells on the last unit
- Refunds or cancellations because stock was wrong
- Support time explaining “sorry, we can’t fulfill this”
- Price mismatches across marketplaces and your store
- “Sync says OK” but the numbers are still off
Each one feels minor. Together they compound.
So we built a small calculator that estimates the monthly cost of drift based on order volume and typical incident patterns. t’s not accounting-precise. It’s a visibility model. The assumptions are explicit so you can sanity-check them against your setup (refund rate, handling cost, future impact).
→ https://gnizdo.space/oversell-cost-calculator/ (models refunds + support handling + downstream revenue impact, assumptions included)
If you’ve worked with multi-channel systems, marketplaces, or sync pipelines, I’m curious:
- What’s the most common drift failure mode you’ve seen in practice?
- Does this kind of cost model miss anything important in real-world setups?
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