ML · Revenue

Fixed pricing rules can't keep up.
Pure ML pricing
cuts your margin.

A pricing system that combines your existing rules with machine learning (ML) software that learns from your data to spot patterns. Prices respond to demand and competition without ever crossing your minimum margin.

Fixed pricing rules can't keep up with the market. But replacing them with an ML system you can't see inside means the model decides your margins for you and that rarely ends well. We built a hybrid: your rules stay in place as the minimum, the ML layer suggests adjustments above that minimum, and your team approves the strategy. Responsive to demand, aware of competitors, and protective of your margins.

Yesterday's prices, in today's market.

Pricing teams know the rules are too rigid. They also know that handing pricing to an ML model they can't explain is a fast way to lose margin. So most companies stay stuck in between running spreadsheets, missing demand signals, and watching competitors move faster.

90d

Static rules

Most Indonesian retailers update pricing logic quarterly. In a market where raw material costs and rupiah exchange rates shift daily, ninety-day-old rules bleed revenue.

0

Demand blindness

Zero real-time signals from POS transactions, foot traffic, or warehouse stock levels feeding into the pricing decision.

3%

ML risk

Unchecked ML pricing can silently erode margins by up to three percent per quarter, chasing volume while nobody watches the bottom line.

2w

Competitive lag

Indonesian competitors who reprice faster capture demand within days. A two-week lag compounds into lost market share every cycle.

Five steps.
Three of them always running.

Your pricing team keeps strategic ownership setting minimum margins, defining rules, approving sensitive changes. The ML layer reads the market, suggests adjustments within the boundaries you set, and learns from what worked.

01
Baseline
Your existing pricing rules and minimum margins set as the foundation.
02
⟳ auto
Sense
Demand, competitor moves, and inventory pressure read continuously.
03
⟳ auto
Suggest
Price adjustments proposed within your margin boundaries never below your minimum.
04
⟳ auto
Guard
Automatic margin checks block any suggestion that would go below your minimum.
05
Apply
Pricing team reviews, approves the strategy, and the system handles the rollout.

The model can never ignore your margin rules. Your minimum is always enforced.

What your team actually sees.

Live dashboard, margin guardrails, demand signals, and pending approvals in one view.

Faster moves.
Protected margins.

Pillar
Before
After
Adjustment cycle
Quarterly review
Daily, automated
Margin protection
Manual checks
Minimum always enforced
Demand response
Reactive
Real-time signals
Strategic control
Opaque ML or rigid rules
Hybrid with human review
  • 4–8% revenue uplift

    Demand-sensitive adjustments capture the opportunities that static rules miss every day.

  • Zero margin breaches

    Automatic checks block any price below your set minimum. The model cannot override that rule.

  • Daily price refresh

    Adjustments calculated every day instead of every quarter. The lag against competitors disappears.

  • Full strategic control

    Pricing teams keep the steering wheel. The model proposes, humans approve, the system executes.

price right.

Send us your pricing rules.
We'll show you the moves you're missing.

A 30-day shadow run on your current pricing. We model what our hybrid system would have suggested, compare it to what actually happened, and report the revenue and margin difference before any live changes.

30-day shadow run

Free pricing assessment

We model a month of your pricing alongside our hybrid system and show you the gap with no impact to your live prices.

ML · Revenue

Fixed pricing rules can't keep up.
Pure ML pricing
cuts your margin.

A pricing system that combines your existing rules with machine learning (ML) software that learns from your data to spot patterns. Prices respond to demand and competition without ever crossing your minimum margin.

Fixed pricing rules can't keep up with the market. But replacing them with an ML system you can't see inside means the model decides your margins for you and that rarely ends well. We built a hybrid: your rules stay in place as the minimum, the ML layer suggests adjustments above that minimum, and your team approves the strategy. Responsive to demand, aware of competitors, and protective of your margins.

Yesterday's prices, in today's market.

Pricing teams know the rules are too rigid. They also know that handing pricing to an ML model they can't explain is a fast way to lose margin. So most companies stay stuck in between running spreadsheets, missing demand signals, and watching competitors move faster.

90d

Static rules

Most Indonesian retailers update pricing logic quarterly. In a market where raw material costs and rupiah exchange rates shift daily, ninety-day-old rules bleed revenue.

0

Demand blindness

Zero real-time signals from POS transactions, foot traffic, or warehouse stock levels feeding into the pricing decision.

3%

ML risk

Unchecked ML pricing can silently erode margins by up to three percent per quarter, chasing volume while nobody watches the bottom line.

2w

Competitive lag

Indonesian competitors who reprice faster capture demand within days. A two-week lag compounds into lost market share every cycle.

Five steps.
Three of them always running.

Your pricing team keeps strategic ownership setting minimum margins, defining rules, approving sensitive changes. The ML layer reads the market, suggests adjustments within the boundaries you set, and learns from what worked.

Hover a step to see it in action
Baseline , setting pricing rules and minimum margins Sense , reading demand, competitors, and inventory Suggest , proposing price adjustments within boundaries Guard , automatic margin checks blocking violations Apply , team review and system rollout
01
Baseline
Your existing pricing rules and minimum margins set as the foundation.
02
⟳ auto
Sense
Demand, competitor moves, and inventory pressure read continuously.
03
⟳ auto
Suggest
Price adjustments proposed within your margin boundaries never below your minimum.
04
⟳ auto
Guard
Automatic margin checks block any suggestion that would go below your minimum.
05
Apply
Pricing team reviews, approves the strategy, and the system handles the rollout.

The model can never ignore your margin rules. Your minimum is always enforced.

What your team actually sees.

Live dashboard , margin guardrails, demand signals, and pending approvals in one view.

Dynamic Pricing dashboard showing real-time margin tracking, demand signals, and pending price suggestions

Faster moves.
Protected margins.

Pillar
Before
After
Adjustment cycle
Quarterly review
Daily, automated
Margin protection
Manual checks
Minimum always enforced
Demand response
Reactive
Real-time signals
Strategic control
Opaque ML or rigid rules
Hybrid with human review
  • 4–8% revenue uplift

    Demand-sensitive adjustments capture the opportunities that static rules miss every day.

  • Zero margin breaches

    Automatic checks block any price below your set minimum. The model cannot override that rule.

  • Daily price refresh

    Adjustments calculated every day instead of every quarter. The lag against competitors disappears.

  • Full strategic control

    Pricing teams keep the steering wheel. The model proposes, humans approve, the system executes.

price right.

Send us your pricing rules.
We'll show you the moves you're missing.

A 30-day shadow run on your current pricing. We model what our hybrid system would have suggested, compare it to what actually happened, and report the revenue and margin difference before any live changes.

30-day shadow run

Free pricing assessment

We model a month of your pricing alongside our hybrid system and show you the gap with no impact to your live prices.