Discount intelligence
Discounts approved by data, not by instinct.
Recommended ceilings, win-rate by band, abuse pattern detection, four-tier approval. Every cut is a calculation, not a concession.
The problem
Discounts are where margin disappears fastest because the sales floor uses instinct where it should use evidence. Reps quote at a discount before procurement asks, managers approve to keep the deal moving, and nobody tracks whether the cut actually moved the conversion needle. RMCflow makes every discount a calculation against your history — what discount levels actually moved deals in this segment, which patterns indicate gaming, and where the margin floor sits before the override paperwork starts.
Safe-discount recommender
Calculates the deepest discount that still clears your margin floor — shown green / yellow / red against your own thresholds, refreshed when costs change.
Win-rate by discount band
Historical analysis surfaces ineffective cuts. 'Similar deals close at full price 85% of the time' becomes a one-line warning, not a quarterly report.
Abuse pattern detection
Always-discounting, max-seeking, approval-gaming, split-orders — statistical outlier scoring with a 0-100 risk score per rep, customer, and product.
How it works
Recommend — safe ceiling computed per item
Approve — four-tier ladder routes by amount
Track — patterns analysed by rep, customer, product
"Discounts used to be negotiation. Now they're math."
See it on a real quote
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