Optimization Engine
Reward the vendors who recover more.
The dPlat Optimization Engine evaluates liquidation performance across closed vendor pools and adjusts future placement volume accordingly. High performers get more share. The rules are yours. The math runs automatically.
Vendor performance isn't static. Your placement strategy shouldn't be either.
Manual reallocation works for a few vendors and a few pools. It breaks at scale. dPlat's optimization module evaluates closed pool performance against the configured bands you set, then adjusts future placement allocation on your cadence. Performance data becomes a placement signal, not a quarterly review topic.
How it works.
- Step 01
Configure the bands
Set performance bands by tier, product, or account attribute. Define what counts as a closed pool. Decide how much share moves per evaluation cycle.
- Step 02
Pools close. Data flows in.
As pools close, dPlat captures liquidation, net-back, activity, and account-characteristic data. Closed-pool performance is benchmarked against the bands you set.
- Step 03
Share adjusts on the next cycle
The next placement cycle uses the updated allocation. High performers get more volume. Underperformers get less. The engine logs every adjustment.
Performance-driven, with caps and floors you control.
Define what 'high performing' means for your portfolio. Liquidation percentage, net-back, payment count, activity volume, or any custom metric. Bands can vary by tier, product, or account attribute.
Configure pool-level bonus structures that pay out when vendors hit liquidation targets. The bonus calculation runs automatically against the closed pool data.
Every adjustment is logged. See what changed, when it changed, and what performance triggered the change. Roll back if needed.
Performance-based placement, without the spreadsheets.
Recovery teams lose hours each cycle pulling vendor performance into spreadsheets, modeling allocation changes, and pushing those changes back into a placement system. dPlat collapses that loop. The data lives in the platform. The rules live in the platform. The adjustments execute in the platform.
- Closed pool data feeds optimization without manual export
- Adjustment cycles run on your defined cadence, not a quarterly review
- Caps and floors give your strategy team final control
See optimization against your vendor mix.
Bring your current allocation percentages and recent pool performance to the demo. We'll show you what the engine would do with them.