E-commerce operations ROI calculator — see how many stockouts Vendlore prevents per year.
Plug in four numbers — your monthly revenue, SKU count, channel count, and current monthly operations hours. Vendlore's continuous reorder math returns two transparent estimates: stockouts prevented per year and operations hours saved per month.
One storefront group, four inputs, one estimate you can sanity-check.
A retailer doing $80,000/month across 240 SKUs and 4 channels, spending 90hours a month on ops — Vendlore's loop would land here.
Two transparent formulas, drawn only from the four inputs.
The estimate is built from a fixed, published heuristic — no black-box so a visitor can recompute either headline figure on a napkin. Constants are surfaced from the samesrc/lib/contracts/roi.tsmodule the API route reads, so a future tweak on one side cannot drift from the other without breaking the schema.
- Stockouts prevented per year
monthlyRevenueUsd × 12 × 0.5% + skuCount × 6 × (1 + (channelCount − 1) × 20%)
The revenue term catches the dollar volume churning through your storefronts; the SKU term counts the discrete reorder events Vendlore prevents per item. Channel breadth amplifies both — every additional storefront or ad channel adds 20% more stockout pressure to absorb.
- Hours saved per month
monthlyOpsHours × 15% + skuCount × 0.01 × (1 + (channelCount − 1) × 15%)
The hours term returns 15% of your existing operations baseline (reorder, reconcile, chase suppliers) — plus a small per-SKU bonus on top, scaled again by channel breadth since each additional channel multiplies the reconciliation surfaces.
Run the loop on your own channels.
Drop your email on the Vendlore waitlist — first access when a new channel integration lights up, plus the first weekly per-channel margin report for your storefronts and ad platforms. Compare the loop side-by-side with Cogsy, or revisit pricing for the plan whose ceiling matches your operation.
Illustrative only — figures reflect the heuristics stated above and vary with operator baseline, supplier variance, and ad-spend attribution window. Use this as a starting point for a Vendlore conversation, not a forecast. See how we got these numbers.