Oracle
Your catalog does not need more price changes. It needs better ones.
Some products are priced too low. Some too high. Many stay static too long. Oracle helps private-label Amazon brands find the right price with better signals, hard guardrails, and explainable recommendations before anything goes live.
Oracle pricing operator
Mispricing review
Oracle spots where price looks wrong, shows the expected impact, and stays inside hard limits before it writes.
Current mode
Read-only
Guardrails active
Margin floor + price bounds
Latest recommendation
Raise 1, lower 2, hold 14
Static prices flagged for review
Expected impact
+2.8% contribution profit
Rollback available
One-click revert
Full audit trail attached
Trusted by Amazon brands using Profasee to price with more confidence and more profit.
$1,900,068
PROFIT LIFT
12.1%
PROFIT LIFT
$432,675
PROFIT LIFT
$15,000
PROFIT LIFT
53%
PROFIT LIFT
$90,000
PROFIT LIFT
$215,000
PROFIT LIFT
$216,000
PROFIT LIFT
$93,600
PROFIT LIFT
$43,730
PROFIT LIFT
$1,900,068
PROFIT LIFT
12.1%
PROFIT LIFT
$432,675
PROFIT LIFT
$15,000
PROFIT LIFT
53%
PROFIT LIFT
$90,000
PROFIT LIFT
$215,000
PROFIT LIFT
$216,000
PROFIT LIFT
$93,600
PROFIT LIFT
$43,730
PROFIT LIFT
Built for brands
Built for private-label Amazon brands.
Not reseller Buy Box wars.
Built for brands pricing across margin, demand, velocity, inventory, and promotion.
Problem
Most Amazon brands are not pricing strategically.
They are guessing, freezing, copying competitors, or leaving prices unchanged too long.
That behavior quietly turns pricing into a blind spot instead of a lever.
That is how catalogs end up too cheap, too expensive, or too static.
Too cheap
Margin leaks quietly when a product can support more price and nobody challenges the old number.
Too expensive
Demand gets choked when price stays above what the product can really support.
Too static
Fixed prices stop matching reality as demand, costs, promos, and stock conditions shift around them.
The problem is not just bad price changes. It is bad pricing decisions, including the decision not to move at all.
Most brands do not actually know which products are too low, too high, or too static until margin or momentum has already leaked away.
Why Oracle is different
Built for Amazon brands, not blind repricing
Most pricing tools react to the market. Oracle prices toward the business outcome, with more business context, clearer validation, and hard guardrails before any authority expands.
Price with business context
Oracle considers how Amazon reacts to price changes, what competitors do, and how customers respond before recommending a move.
Coordinate pricing with PPC and inventory
Pricing decisions stay aligned with spend posture and stock pressure instead of fighting the rest of the business.
Optimize for profit, not vanity movement
The goal is not constant price activity. The goal is the right price for the outcome you care about.
Act inside hard guardrails
Every recommendation and write stays inside price limits, margin controls, approvals, and rollback protection.
Results
The goal is not more price changes. It is fewer wrong prices.
Profasee is not here to create activity for activity’s sake.
It is here to help your catalog get priced more correctly, more consistently, and more profitably over time.
Some wins come from raising prices.
Some come from lowering them.
Some come from changing nothing where the market is noisy.
The value is in knowing the difference.
Measured profit lift, not pricing theater
Real brands, real numbers, and clear outcomes. Oracle earns trust by showing the business result, not just the price change.
These are measured contribution-profit outcomes, not vanity movement.
24X
ROI on repricing
Delivered on 15 SKUs with $215,000 in annualized profit lift.
$93,600
profit lift
One year of AI pricing profit added back to the business.
+30%
profit growth
Pricing and PPC finally coordinated instead of working at odds.
John Rhinehart
Founder, PF Harris
“Profasee has been a game-changer for PF Harris. If you're in business to make a profit, there's nothing to think about.”
24X ROI and over $215K in annualized profit increase.
Chris King
CEO, Juniper Mist
“Profasee put almost $100K in profit in our bank account in one year, profit, not gross revenue.”
Simplified pricing decisions without losing control.
Max Edgardson Scott
CEO, Mess Brands
“Since implementing Profasee, we've seen a 30% increase in profits, all while maintaining BSR.”
Pricing improved without sacrificing rank.
Comparison
What Amazon brands need that ordinary pricing tools were never built for
Private-label brands need pricing that can optimize by product, use broader business context, and prove whether a move was actually right before authority expands.
| Feature | Ordinary pricing tools | Profasee |
|---|---|---|
| Can it optimize by product goal? | Usually one rule set | Objectives by ASIN |
| Can it use business context beyond price? | Mostly price-only | Amazon reaction, competitors, and customers |
| Can it coordinate with ads and inventory? | ||
| Can it start read-only? | Rare | |
| Can I see why it changed price? | Limited | Audit trail + rollback |
| Can it protect downside? | Basic limits | Hard guardrails |
| Is it built for private-label brands? | Not the default | Built for brands |
ROI calculator
See the missing profit in your catalog right now
A quick self-check for whether mispricing is quietly leaking profit from the catalog.
Drag to match your business
Every day you wait, you lose roughly
$104
$3,113/mo · $37,356/yr
This is the profit a mispriced catalog can quietly leave behind.
$3,113
Lost per month
$698
Ultra starts at
4x
Potential ROI
Benchmark-based estimate. Use the full calculator if you want a deeper breakdown.
Price by objective
Like playlists, but for ASINs
Different ASINs and product groups can run different pricing goals at the same time. Oracle defines what success looks like first, then applies the right pricing approaches to pursue that goal safely.
Goals
Goals define what success looks like for an ASIN or group.
Maximize profit
Push toward the price where contribution profit is strongest.
Use when better margin quality matters more than noisy unit movement.
Maximize revenue
Lean into growth when the catalog can support more top-line volume.
Use when the right move is expanding revenue, not just protecting the current base.
Maximize CVR
Reduce price friction when conversion is the bottleneck worth solving.
Use when conversion quality matters more than making the most aggressive move possible.
Target velocity
Price to manage sell-through around stock, seasonality, launches, or promo windows.
Use when pacing inventory or momentum is the real objective for that group.
Strategies
Strategies are the pricing approaches Oracle can apply to pursue that goal safely.
Goals define what success looks like for an ASIN or group. Strategies determine how Oracle should pursue that outcome inside the same guardrails and approval model.
Same catalog. Different assignments.
One group can chase profit while another targets velocity, conversion, or promo support. Oracle does not force the whole catalog into one blunt pricing posture.
Assigned strategy examples
Hero ASIN
Maximize profit
Margin protection + visibility protection
Hold pricing discipline on products that already convert well instead of gifting margin away.
Overstocked variation
Target velocity
Inventory-aware pricing
Use tactical price pressure to improve sell-through without flattening the whole catalog.
Promo-sensitive parent
Maximize revenue
Sale price optimizer + grouped sync
Support promotion windows without resetting the long-term price position or breaking the family.
New launch
Maximize CVR
Launch-safe pricing
Keep authority narrow while the product is still learning what price the market will support.
Playbooks
Tactical playbooks Oracle can apply
Different groups can run different goals and different playbooks at the same time, so the catalog does not get flattened into one pricing rule.
Daily operation
What happens while you sleep
Oracle keeps watching the catalog, narrows authority when confidence weakens, and surfaces what changed before anyone logs in. The point is not constant motion. It is cleaner pricing decisions by morning.
Read-only
What Oracle shows before it moves
Oracle starts by showing the recommendation, the expected impact, and the rollback path. Authority expands only after the behavior earns trust.
Fails closed when data is weak instead of bluffing through uncertainty.
Shows expected impact before it gets authority to move price.
Logs every move with the reason, result, and rollback path.
Live conditions
How Oracle handles real pricing situations
Not every product needs the same move. Oracle reads the situation first, then chooses the safest pricing response for that ASIN or group.
When a product is underpriced
Signal
Conversion stays strong, margin headroom is available, and the product is carrying more demand than the current price suggests.
Oracle move
Oracle recommends raising price carefully, then validates whether profit improves without breaking momentum.
Protection
Margin floors, price caps, and rollback paths stay in force before the move ever gets authority.
When a product is overpriced
Signal
Traffic is present but conversion softens, suggesting the current price is creating unnecessary demand friction.
Oracle move
Oracle lowers price deliberately, measures the response, and expands the move only if demand quality improves.
Protection
Minimum price, no-go zones, and approval scopes keep the adjustment from turning into a broad discount reflex.
When inventory or promos change the right price
Signal
Stock timing shifts, promo windows open, or sell-through goals change what the right price should be for that group.
Oracle move
Oracle can tighten price to protect scarce inventory or use a tactical sale-price window to support velocity without resetting the base price.
Protection
Inventory-aware limits, time-boxed promo logic, and rollback history keep short-term moves from becoming permanent drift.
Explainability and trust
How Oracle earns trust
Every price move stays explainable
Oracle should be able to explain a higher price and a lower price with the same level of clarity before any scope expands.
Example: Oracle raises price when margin is being left on the table
This is what an explainable underpricing decision looks like before Oracle gets wider authority.
What they saw
SKU-2847 kept converting strongly at $24.99, demand stayed stable, and the product showed room to carry more price without losing momentum.
Constraints applied
Minimum margin 22%. Maximum price $29.99. No-go zones clear. First move stays in approval scope.
What they decided
Recommend a step up to $27.49 and monitor contribution profit, conversion, and velocity before widening the change.
Expected outcome
Capture more profit if the product was underpriced while keeping demand in a healthy range.
Can it be rolled back?
Yes.The prior price remains available, and Oracle can revert with the full decision history attached.
Example: Oracle lowers price when the current price is suppressing demand
Explainability matters just as much when the right move is a lower price, not a higher one.
What they saw
SKU-4121 held traffic but conversion softened for seven days, suggesting the active price was creating unnecessary friction.
Constraints applied
Minimum price $31.99. Margin guard stays active. Promo window allowed, but the base price should not be reset without evidence.
What they decided
Recommend lowering the active selling price to $34.49, then compare conversion quality and contribution profit against the prior baseline.
Expected outcome
Recover demand and keep the product moving without drifting below the account's margin and brand thresholds.
Can it be rolled back?
Yes.Oracle can restore the previous price or end the test window immediately if the lower price does not improve the outcome.
Authority expands only after the behavior earns trust
Observe
Read-only
Oracle shows recommended price changes, expected profit impact, and rollback paths without writing anything.
Default for new accounts and any low-trust scope.
Ask first
Approval required
Oracle queues moves inside your guardrails and waits for human approval before execution.
Best when you want confidence before authority expands.
Handle narrow scopes
Scoped autonomy
Oracle writes within approved ranges, product groups, and confidence bands while routing edge cases upward.
Unlocked after consistent outcomes and clean reversibility.
Run day to day
Autonomous with exceptions
Oracle handles normal pricing motion automatically and escalates anomalies, protected ASINs, and large deviations.
Reserved for accounts where trust has been earned with evidence.
Guardrails
You stay in control
Pricing should never feel reckless.
Hard controls
These controls stay in front of every recommendation and every write.
Minimum price
Hard floor protection keeps pricing from drifting below your approved limit.
Maximum price
Upper bounds stop aggressive moves before they outrun the product's range.
No-go zones
Protected ASINs, ranges, and windows can be excluded from writes entirely.
Rollback
Every change can be reversed with the full decision trail still attached.
Margin guard
Oracle holds or narrows authority when a move would violate your economics.
What Oracle will not do
Guardrails are not just limits. They also define the behavior Oracle refuses to take on your behalf.
Chase irrational price drops
Oracle will not copy a market move just because someone else panicked. It waits for evidence before changing course.
Write on stale data
If the signals are weak, delayed, or conflicting, Oracle narrows authority or stays read-only.
Trade margin for vanity movement
Oracle does not burn margin just to manufacture units. BSR and visibility stay protected as inputs, but not at the expense of bad pricing logic.
Touch protected launches
Launches and sensitive ASINs can stay locked behind approval, narrower scopes, or full no-go protection.
Start read-only. Approve changes first. Expand scope only when trust is earned.
How it works
Connect Amazon. Watch in read-only. Expand only when ready.
The onboarding is simple on purpose. Oracle starts by observing, showing its reasoning, and proving that the recommendations are worth trusting before authority expands.
Connect Amazon
Connect your catalog and pricing data so Oracle can observe how your products are actually performing.
Watch Oracle in read-only mode
Oracle surfaces what it would change, why it would change it, and what it expects to happen before anything goes live.
Approve or expand authority
Start with approvals, keep protected ASINs off limits, and widen scope only after the behavior earns trust.
The old way
Spreadsheets and manual spot checks
Static prices left untouched too long
Gut feel deciding when to move
With Oracle
Observed signals instead of stale assumptions
Explainable recommendations before any write
Safe execution inside approvals and guardrails
FAQ
Common questions about Oracle
Yes. Oracle is built for private-label Amazon brands that need better pricing decisions across margin, demand, velocity, inventory, and promotion. It is not built around reseller Buy Box wars or blindly copying the lowest market move.
No. Oracle is built around mispricing, not just underpricing. Some products need a higher price, some need a lower one, and some should stay unchanged. The job is to find the right price for the objective you care about.
Yes. If conversion or demand quality suggests the current price is creating friction, Oracle can recommend a lower price, monitor the response, and validate whether the move actually improved the outcome.
Yes. Oracle starts in read-only mode, can run in approval-required mode, and only expands authority when you want it to. You can keep sensitive scopes behind review for as long as you need.
Oracle narrows scope, holds position, or stays read-only when the signal is weak, delayed, or conflicting. It is designed to fail closed instead of bluffing through uncertainty.
Oracle shares context with Marko so pricing and PPC do not work against each other. If price changes affect conversion, margin, or inventory posture, Marko can adjust spend with the same business context in view.
Yes. Hero products, launches, brand-sensitive ranges, and any protected ASINs can sit inside no-go zones, tighter approval scopes, or fully manual review.