Conditions verified before publish
Promotion scenario
Join a promotion only when price stays under control.
The system checks promotion terms, the allowed price range and participation scenario before publishing, not after profit is lost.
Repricer Control Engine
测试版
Q1 2026
Pricing autopilot for marketplaces
A repricer that moves faster than the marketplace and refuses to hand margin to chaos.
通过策略化自动调价，保持竞争力并保护利润。. This is not another settings screen. It is one operating surface where market signals, pricing rules, guardrails and publishing are gathered together.
Promotion entry only after profit validation
Catalog repricing follows market signals, not manual watch
One loop for signal, decision and price publish
Short cycle
Promotion checks and publish happen without a long manual pause.
The system quickly validates promotion terms, safe price and allowed participation scenario.
Profit protection
The system calculates allowed price and margin first. Only then does it publish.
Short operating cycle
Market signal, validation and publishing are gathered into one working rhythm.
The team does not jump between spreadsheets and chats: the system carries the decision to publish without a long manual chain.
Margin protection
The marketplace does not get permission to drag the product below margin for volume.
Safe price, allowed range and exit rules are checked before publish, not after the loss appears in reports.
Pricing strategies
Different modes do not fight each other and work as one control system.
Stock, time, promotions, delta and fixed price come together in one loop the team can read at a glance.
Stockreaction to scarcity and overheating
Timingdemand windows and peak hours
Promotionspromotion prep without manual panic
Deltacontrolled price movement by scenario
Marginautomatic exit before margin loss
Sandboxhypothesis testing before publish
Stockreaction to scarcity and overheating
Timingdemand windows and peak hours
Promotionspromotion prep without manual panic
Deltacontrolled price movement by scenario
Marginautomatic exit before margin loss
Sandboxhypothesis testing before publish
Sandboxhypothesis testing before publish
Marginautomatic exit before margin loss
Deltacontrolled price movement by scenario
Promotionspromotion prep without manual panic
Timingdemand windows and peak hours
Stockreaction to scarcity and overheating
Sandboxhypothesis testing before publish
Marginautomatic exit before margin loss
Deltacontrolled price movement by scenario
Promotionspromotion prep without manual panic
Timingdemand windows and peak hours
Stockreaction to scarcity and overheating
Strategy architecture
Five pricing strategies. One control system for the team.
Automation is only part of the job. The repricer should feel like a clear control system where signals, limits, modes and publishing are gathered into one logic.
The decision is made in one operating loop
Profit is protected before publish
One product loop instead of disconnected screens
Light and dark themes behave like one system
Price contract
Rules read like a working contract, not a note in chat.
Operating rhythm
Signal, validation and publish stay inside one short cycle.
No race through spreadsheets: the system reads the input, calculates the boundary and publishes the decision in sequence.
Profit is checked first
Profit boundary
The system calculates a safe price first and only then pursues sales growth.
Safe price, range limits and exit rules work as one contract that keeps the marketplace from pushing the product below margin.
The catalog runs without manual watch
Catalog scale
The catalog stays on rules and exceptions, not endless manual edits.
The team changes modes centrally instead of babysitting product cards during demand spikes.
One operating rhythm instead of manual steps
Reaction speed
Signal, validation and action happen in sequence, without a gap between analytics and decision.
Stock, median, timing and promotions read as one operating loop, not a set of disconnected screens.
Key decisions are visible immediately
Operator surface
The system state reads at a glance without decoding or guesswork.
Modes, signals and critical limits are visible instantly, so the interface feels like an operating panel instead of another form.
Why manual pricing breaks
The problem is not price. The decision has to arrive before the drop, not after the report.
Reaction window
10
minutes to validate live promo conditions without manual babysitting.
A premium repricer is not just an automation tool. It has to read like a reliable control loop: fast, wide and predictable for the team.
Margin risk
Promotions can turn sales growth into a unit-economics loss.
A repricer has to see the safe price boundary before the marketplace forces the product into a bad discount.
Catalog scale
Thousands of SKUs stop being manageable after the first demand spike.
The team should manage exceptions, modes and tolerances instead of rewriting prices across the whole catalog by hand.
Reaction time
Traffic goes to the system that reacts before the marketplace, not after the report.
ARBICOM pulls stock, median, time windows and promotion rules into one continuous decision loop.
Key product scenes
The interface should feel like a premium control system, not a random pile of screens.
That is why the landing is built as a series of full-width product scenes: overview, connected catalog and rules editor with explicit profit protection.
Command center
A wide overview of strategies, events and product cards.
The primary surface does not hide the important state inside tiny tables. It shows market state, signals and active scenarios as one management rhythm.
An operating surface for decisions in seconds, not after manual reconciliation.
Catalog graph
Catalog, channels and control modes live in one structure instead of files and chats.
This is not about pretty UI. It keeps automation from dissolving into manual exceptions as SKU count grows.
A connected data layer lets the team change strategy without manual chaos.
Rules editor
Price logic is published deliberately, not in an emergency when performance drops.
The rules editor turns team decisions into a product contract: what is allowed, when to enter, where to cap price and how to protect profit.
Control moves out of chats and spreadsheets into a stable product surface.
Decision loop
The autopilot reads like an operating loop, not a black box.
The landing should make this obvious: market read, validation, publishing and profit control form one transparent operating loop.
Autopilot core
The system reads the input, boundary and allowed action on its own.
01
Signal
Collects stock, median, time windows and promotion rules.
02
Validation
Checks the allowed price range, margin, tolerances and participation rules.
03
Action
Automatically joins, holds or exits a product without manual routine.
Product breakdown
How the repricer works and how it protects margin.
Start with a concise overview, then open the full breakdown of flows, limits, and common questions.
Five strategies
Stock, time, promotion, delta and fixed price strategies work as one decision system.
Margin protection
Auto-entry and auto-exit stop the marketplace from forcing products below margin during a live promotion.
Catalog scale
The team manages rules and exceptions instead of hand-editing prices across thousands of SKUs.
Final call to action