The Operating System for Autonomous Pricing

One engine.
Every vertical.
Zero manual pricing.

PriceOS is the first platform that delivers autonomous, AI-driven pricing across multiple verticals -- purpose-built for SMB managers who don't have a pricing team.
+71% revenue uplift (proven)
14.75 hrs/week saved
4 verticals launching
Every Manager Has Inventory.
None Have a Pricing Analyst.
SMB managers are running million-dollar inventories with gut instinct and spreadsheets. The tools that exist are either locked to one vertical or priced for Fortune 500.
83%
of SMB managers set prices based on gut feel or cost-plus markup
$2.1T
in annual US retail + services revenue priced suboptimally
14 hrs
average weekly time a store manager spends thinking about pricing
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platform that turns any manager's inventory into autonomously optimized revenue
Same Engine, Different Data
The core ML engine is identical. The data connectors and constraint layers change per vertical. A new vertical launches in weeks, not years.
The Three-Layer Architecture
Every vertical sits on the same core intelligence engine. New verticals inherit proven pricing logic and only need vertical-specific data connectors and constraints.
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Vertical Application Layer

  • Business-specific rules: minimum margins, regulatory compliance, brand constraints
  • Simulation sandbox: train and test before going live
  • Manager interface: trust dashboard showing what PriceOS decided and why
  • Channel distribution: push prices to POS, website, OTAs, digital shelf tags
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Core Intelligence Engine

  • Demand forecasting: What will happen in the next 4-72 hours?
  • Price optimization: What price maximizes yield given constraints?
  • Confidence scoring: How sure is the model? Auto-execute or flag for review?
  • Outcome learning: Every transaction improves the model
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Data Ingestion Layer

  • 100-200 data signals per vertical, ingested in real-time
  • Pre-built connectors: weather APIs, POS systems, booking platforms, market feeds
  • Custom connectors: any data source via REST API or file upload
  • Cross-vertical signal sharing improves every model
A Pricing Analyst for Every Manager
What if every manager had a pricing analyst who never sleeps, never forgets, and gets smarter every day?
Marina Manager
Before
Runs 12 jetskis and 3 tour boats. Used to spend mornings checking weather, competitor prices, and cruise ship schedules.
After PriceOS
Now reviews PriceOS weekly. Prices adjust autonomously based on real-time demand signals.
+45%
Revenue increase
Dealership GM
Before
Manages 200-unit lot with 8 sales reps. Used to rely on desk managers guessing trade-in margins.
After PriceOS
PriceOS optimizes every unit's price-to-stair-step-bonus. Detects news, adjusts affected models before the sales team reacts.
+12%
Gross profit increase
Grocery Store Director
Before
Oversees 30,000 SKUs across 12 locations. Used to set weekly prices from a spreadsheet.
After PriceOS
PriceOS adjusts 500+ prices daily based on shelf life, traffic, and weather. Expiration-aware markdowns happen automatically.
-22%
Waste, margin up 4%
PriceOS isn't a tool managers use. It's an analyst that works for them.