Platform
Every Amazon advertising decision, modelled before it's made.
SellZyme is an AI-native Amazon PPC automation platform. Its agent, Zyme, predicts the likely financial outcome of an advertising action — sales, spend, ACOS, and profit impact — before executing it, shows its forecasts as honest ranges with published accuracy, and earns autonomy (Advisor → Co-pilot → Autopilot) by verifying its own predictions inside hard guardrails.
The idea
It predicts before it acts.
Rule-based tools change a bid, then wait to see what happened — your budget pays for every lesson. SellZyme runs every decision through one loop first, so the outcome is estimated before the account ever feels it. Everything below is a capability built on that loop.
Observe
Zyme continuously reads campaign, account, marketplace, and profitability signals.
Predict
Zyme simulates the likely result of available actions.
Perform
Zyme recommends or executes the strongest decision within user-defined controls.
Capabilities
Fourteen capabilities, four working groups.
Bids, budgets, keywords, and placements affect each other. Deciding them together is what stops the contradictions that disconnected rules produce — so the capabilities are grouped by the job they do, all sharing one predictive core.
Intelligence
The predictive core behind every decision
Optimization
Continuous, goal-aware tuning
Automation & Strategy
Execution you grant and control
Insight & Creative
See clearly, ship faster
FAQ
Questions about the platform
- How does SellZyme predict advertising outcomes?
- SellZyme models each candidate action against the account's own historical behaviour — how that campaign, keyword, and placement have actually performed — and produces a range of likely outcomes for sales, spend, ACOS, and profit, along with a confidence level. Realised results are then compared back against the prediction so the model improves with the account's context.
- What happens when a prediction is wrong?
- Every action is logged with the prediction that justified it, and the realised outcome is measured against it. Actions can be set to revert automatically if the prediction misses for a defined period, and the error feeds back into future simulations.
- Is predictive simulation the same as forecasting?
- No. Forecasting projects what will happen if nothing changes. Predictive simulation models what would happen for each specific action you could take, so it can be used to choose between them before committing spend.
- What are SellZyme's autonomy levels?
- Three paths. Advisor surfaces insights only and changes nothing. Co-pilot proposes actions with their predicted impact and waits for your approval. Autopilot executes inside your guardrails. Your onboarding answers set the starting path, and you can change it any time — per account, per bucket, or per product.
- How does Zyme 'earn' more autonomy?
- Autonomy is granted in order, tied to money reclaimed and predictions verified. After an action type has been proposed and approved enough times with accurate predictions, it can graduate from propose to auto — so trust is built on a track record, not assumed. You approve each graduation.
- What can Zyme never do?
- Cross a hard guardrail. Daily spend cap, ACoS ceiling, margin floor, protected ASINs, and maximum bid change are set during onboarding and enforced on every surface. No autonomy path can override them.
- How often does SellZyme adjust bids?
- Continuously, as new performance signals arrive — but only when a change is predicted to improve the outcome and passes your guardrails. It will hold a bid rather than move it for the sake of activity.
- Does SellZyme just target a fixed ACOS?
- No. A single ACOS target treats every keyword as equally valuable. SellZyme evaluates each target's predicted contribution to profit, so it can justify a higher ACOS where the margin supports it and a lower one where it doesn't.
See what your next advertising decision could deliver.
Let Zyme analyze your account, simulate the opportunity, and show you what to do next.