Deep Learning
Traditional repricers react. Strategies learn what converts profitably, then act at market speed.
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.
Built for private-label Amazon brandsStarts read-onlyEvery decision explainedGuardrails on every move
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
How operators use Oracle
Ask Oracle where price should move.
Margin comes first.
Oracle is the pricing specialist inside Ultra. She tests, holds, or widens price moves using margin, demand, and inventory context instead of brittle repricer rules.
MarginDemandExperimentsGuardrails
Oracle widens price where the margin is already there, then contains the downside with floors and rollback rules.
See Oracle in actionO
Oracle
Dynamic pricing specialist
Message...↑
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
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.
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.
Differentiation
This is more than a "repricer."
Strategies are built for profit, not rule matching.
Full Funnel
Pricing and PPC run together. Decisions align margin, conversion, and ad efficiency.
Profit First
No race to the bottom. Strategies optimize contribution profit, not just Buy Box wins.
Floor and ceiling prices
Hard boundaries per ASIN or group.
Daily change limits
Prevent jarring swings in volatile markets.
Margin and Buy Box guardrails
Protect profitability and stability.
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 |
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.
01
Connect Amazon
Connect your catalog and pricing data so Oracle can observe how your products are actually performing.
02
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.
03
Approve or expand authority
Start with approvals, keep protected ASINs off limits, and widen scope only after the behavior earns trust.
With Oracle
Pricing is already staged before your first coffee.
O
Oracle#pricing-briefs
7:04 AMPricing Brief - Tuesday
OracleRaised SKU-2847 to $27.49. Margin headroom held.
OracleLowered SKU-4121 to $34.49 after conversion softened.
OracleHeld 11 ASINs. The market was noisy and price movement was not justified.
ClaudiaBundled 1 approval and 2 automated holds into your pricing brief.
>1 pricing decision needs your review
Approval scoperead-only active
OracleRaise SKU-2847 by $2.50 | Expected +9.6% contribution profit
ApproveReview logic
Margin floor 22% | Rollback ready | Confidence band: high
1
Open one pricing brief
Oracle surfaces the price moves that matter and the ASINs it held back.
2 minutes
2
Review the one exception
Approve, reject, or keep read-only with the reasoning in view.
2 minutes
3
Move on with confidence
Oracle keeps monitoring the catalog inside your pricing guardrails.
0 minutes
Total: 4 minutes. Pricing stays under control.
The old way
Manual pricing work still looks busy, fragmented, and slow.
Seller Centralx
Repricerx
Adsx
Inventoryx
Sheetsx
Slackx
<-->R
sellercentral.amazon.com/pricing
Seller Central
Repricer
Ads
6 tabs. Still no clean
pricing answer.
Open Seller Central and hunt for which ASINs actually need attention.
Check repricer rules and wonder if they still fit the product goal.
Pull conversion and margin context from a separate report or spreadsheet.
Cross-check inventory risk before deciding whether a price move is safe.
Ask whether PPC is masking a pricing problem or creating one.
Change nothing because you still cannot prove the right move.
Total: 90+ minutes. Still guessing on price.
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
01
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.
02
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.
03
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.
04
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.
Profit engine
How Amazon Brands Use the Profasee Algorithm to Unlock $82M+ in Profit
Not by doing more. By letting the algorithm decide faster than humans can.
1
Maximize Contribution Profit
The algorithm coordinates price and ad spend to find the point where conversion, margin, and efficiency intersect.
Replaces
Gut-feel pricingMargin-blind ad spend
$4,832,967
Total lifetime profit over 730 days
$31,245
Avg monthly profit lift
$12,496
Profit in last 30 days
2
Increase Unit Velocity & BSR
The algorithm lowers price and increases spend when doing so improves rank and demand.
Adjustments happen automatically to accelerate sales velocity and capture momentum.
Replaces
Manual price dropsGuessing how to boost rank
Push Products Faster
Boost Your Rank
Activated
Keep Inventory Moving
3
Increase Profit Per Click
As price changes, conversion efficiency changes.
The algorithm routes ad spend to the moments and listings where each click produces the most profit.
Replaces
Chasing lower CPCSpend optimized for clicks instead of profit
Route to Profit
Routing
Pause Loss Leaders
Maximize Each Click
+$127
Profit per click window
$3.84
Avg profit/click
4
Uncover Hidden Revenue
The algorithm tests price and ad spend across the catalog to reveal where demand supports more revenue without requiring more traffic.
Replaces
PPC bidding warsFlat pricing across SKUs
Total Revenue
Hidden Revenue Unlocked
With ProfaseeWithout Profasee
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 or type to match your business
$50K$50K$5M
Wasted ad spend
$900
per month
Pricing gaps
$1,050
per month
Missed reimbursements
$350
per month
Slow reactions + coordination
$813
per month
Total leak estimate also accounts for tool conflicts and human error.See full breakdown →
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
$112,068
3-year inaction cost
Benchmark-based estimate. Use the full calculator if you want a deeper breakdown.
Strategies
Like playlists, but for ASINs.
Our pricing strategies are designed around Amazon market dynamics. Choose a strategy. Profasee runs it.
Different ASIN groups can run different strategies at the same time, so the catalog never gets flattened into one blunt pricing rule.
Now available
Channel Sync
Multi-channel price parity
If you sell on Amazon and Walmart, price drift can get you suppressed. Profasee keeps you aligned automatically.
A
Amazon
$29.99
Source of truth
Auto-sync
W
Walmart
$29.99
In parity
When Profasee changes your Amazon price, we immediately sync the equivalent price to Walmart based on your rules. No spreadsheets, no manual checks, and no channel-by-channel firefighting.
+Min/max boundaries+Rounding rules+SKU exclusions+Exception reporting+Full audit trail
Walmart live•Shopify next•More channels coming
Stop suppression
Parity drift quietly kills visibility. Stay aligned and stay eligible.
Protect velocity
When parity breaks, velocity breaks. Keep both channels stable.
Stop wasting ad spend
Ads into a suppressed offer is a leaky bucket. Keep offers competitive.
Free your team
No more parity babysitting across marketplaces just to stay in policy.
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.
8:03 AMOraclePrice raised on SKU-2847 after strong conversion and margin headroom signaled underpricing.
8:09 AMOraclePrice lowered on SKU-4121 after soft conversion suggested the current price was suppressing demand.
8:15 AMOracleTactical sale-price window activated on SKU-1122 to support velocity without resetting the base price.
8:22 AMOraclePrice test on SKU-3391 concluded. Higher-profit winner promoted and the prior branch archived.
8:31 AMOracleAuthority narrowed on SKU-5804 after stock timing weakened confidence. Returning this group to approval mode.
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
Most repricers react. Oracle decides.
Oracle reads demand, margin, inventory, promo timing, and competitor pressure before it touches price, so you stop leaking profit, stop forcing discounts, and stop guessing what each ASIN actually needs.
ASIN-level decisions•Margin floors respected•Inventory-aware logic•Rollback history•Approval controls
Dormant PathsActive Decision PathOptimal Outcome
Competitor PricesProfit MarginsMarket Demand
When a product is carrying more demand than its price suggests
Signal
Conversion is strong, margin headroom exists, and the product may be priced below what the market will support.
Oracle Move
Raise carefully, measure the response, and keep the gain only if profit improves without hurting momentum.
Protection
Floors, ceilings, and rollback logic prevent overreach.
When price is creating unnecessary friction
Signal
Traffic is present, but conversion is softer than it should be, suggesting the current price is getting in the way.
Oracle Move
Lower deliberately, test the response, and expand only if demand quality improves.
Protection
No race to the bottom. Minimum price, no-go zones, and approval scopes stay in force.
When the best move is to wait
Signal
Market conditions are volatile, but changing the price right now would sacrifice margin without a guaranteed lift in volume.
Oracle Move
Oracle holds the current position and monitors competitor stock and buy-box rotation until a profitable window opens.
Protection
Prevents reactionary, race-to-the-bottom price wars.
+15%
Avg Profit Lift
Typical profit lift on active pricing programs
24X
ROI On Repricing
PF Harris on the first 15 SKUs activated
10X
More Signals Tracked
Compared with legacy repricers
Technology
Cutting-edge tech meets Amazon expertise
Real-time market signals
Get the full context and a deeper understanding of each price adjustment based on live data.
Predictive models, not static rules
Our models are trained on millions of Amazon transactions. Strategies learn and adapt continuously.
Watch Oracle
Amazon gives you signals.Most brands don't act on them fast enough.
Pricing, ad spend, inventory, and demand change constantly. Most decisions don't.
Watch how it works. Then see what Ultra can do.
Hit play to see how signals turn into profit
See Oracle in action
No obligation • 1-click setup • Risk-free 3X ROI guarantee
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.
See where your catalog is mispriced
Oracle shows where your catalog is mispriced, what it would change, why it would change it, and what it expects to happen before it ever gets authority.