Tools: We built a small calculator that shows how much inventory drift actually costs

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: 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: Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or - 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 - 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?