Know every dollar of trade spend before it hits your margin, and recover what was wrongly taken.

PLAN

Build the trade program before the retailer asks for it.

Manta gives your team a structured environment to plan trade spend by account, promotion type, and period, before a single dollar is committed. Planned spend is immediately reflected in the P&L as an accrual, so the financial impact of a new program is visible the moment it is approved, not the moment the deduction arrives. You sign off on trade programs with the margin impact already modeled.

• Plan trade spend by retailer, promotion type, SKU, and period — with the P&L impact calculated in real time as the plan is built.
• Trade budgets set at the account level and tracked against actuals throughout the year — no surprises at year-end.
• Promotion calendar integrated into the financial model — planned programs appear as accruals, not surprises.
• Historical spend by account and promotion type available as a baseline for planning the next cycle.

ACCRUE

The P&L reflects trade spend before the deduction arrives.

The gap between when a promotion runs and when the deduction lands is where most P&Ls become unreliable. Manta closes that gap with an accrual engine that estimates trade spend in real time based on planned programs, sell-through velocity, and historical deduction rates, and applies it to the P&L before the retailer statement arrives. Your CFO sees the true cost of retail programs as they run, not weeks after they end.

• Accruals calculated automatically from planned programs, sell-through data, and account-level deduction history.
• Accrual rates configurable by retailer, promotion type, and SKU — reflecting the actual behavior of each account.
• P&L updated in real time as sell-through data arrives and accrual estimates are refined.
• Accrual vs. actual variance tracked per account — when deductions land higher or lower than accrued, the variance is explained and the model is updated.

MATCH

Every deduction classified, matched, and accounted for, without manual review.

When a deduction statement arrives, Manta reads it. The AI engine classifies every line by type — scanback, billback, co-op, slotting, shortage, damage, pricing discrepancy, or unsupported — and matches each deduction to its source promotion, invoice, and SKU. What used to take a deductions analyst days of manual work happens automatically, in seconds, with a complete audit trail. Your team reviews exceptions, not every line.

• AI classifies every incoming deduction by type across all standard categories: scanback, billback, co-op advertising, slotting, shortage, damage, pricing discrepancy, and unsupported claims.
• Each deduction matched to its source promotion, purchase order, invoice, and SKU — creating a complete chain of custody from deal to deduction.
• Matched deductions reconciled against accruals — the P&L is updated and the accrual is cleared automatically.
• Exceptions and unmatched deductions surfaced for human review — your team focuses on the cases that require judgment, not the routine matches.

RECOVER

Invalid deductions flagged, documented, and disputed before the window closes.

Not every deduction is valid. Shortage claims that do not match the proof of delivery. Routing guide chargebacks for shipments that complied. Pricing discrepancies based on outdated cost files. Manta identifies every invalid and unsupported deduction, generates the dispute documentation automatically, and initiates the recovery workflow — so your team is filing disputes with evidence in hand, not chasing paperwork after the fact.

• Invalid and unsupported deductions flagged automatically based on classification, backup documentation, and account-specific dispute rules.
• Dispute documentation generated from source data — proof of delivery, purchase orders, invoices, and promotion agreements — assembled without manual effort.
• Recovery workflows tracked by account and deduction — open disputes, submitted claims, and recovered amounts visible in one place.
• Recovery rate tracked by retailer and deduction type, so your team knows which accounts dispute most aggressively and which programs generate the most invalid claims.