How much could continuous reorder math save your storefronts across every channel?
Enter your monthly revenue, your SKU count, and the number of sales channels you run. Vendlore's continuous reorder math returns three illustrative numbers for one year of operation: the stockouts it would have prevented, the margin recovered from bleeding channels, and the weekly operator hours recovered on manual reconciliation.
The estimate uses fixed defaults — six assumptions, applied uniformly to the inputs:
- 3 baseline stockouts per SKU per year for typical multi-channel operators.
- 75% prevention from Vendlore-style continuous reorder math.
- 0.1 hour per SKU per week of manual reconciliation recovered (about 6 minutes per SKU per week).
- 1 bleeding channel per 5 channels of baseline footprint, plus 0.4 per channel past the baseline (capped).
- 2% of monthly revenue per bleeding channel recovered per year once continuous reorder + ad-spend stitching runs.
Adjust the inputs to model your own baseline — these are illustrative.
Estimate assumes 3 baseline stockouts per SKU per year for typical multi-channel operators, 75% prevention from Vendlore-style continuous reorder math, and 0.1 hour per SKU per week of manual reconciliation recovered (≈6 min / SKU / week). Channel assumption: the first 5 channels carry 1 bleeding channel; every additional channel adds 0.4 bleeding channels. 2% of monthly revenue per bleeding channel per year is recovered once continuous reorder + ad-stitch runs. Tweak the inputs to model your own baseline — these are illustrative.
Your inputs
Three numbers below — Vendlore handles the rest (continuous reorder math, per-supplier ETA, ad-spend attribution).
Illustrative only — figures reflect the assumptions 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.