Tools: We built a small calculator that shows how much inventory drift actually costs
Source: Dev.to
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 hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse - 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?