The problem
The margin leaks in the gaps between the levers
82%
of merchants spend 10+ hours a week on manual pricing and promotion work
72%
of trade promotions fail to break even (Nielsen · McKinsey)
Pricing, promotions, and markdowns run in systems that do not talk. Trade spend already runs 15 to 25 percent of gross revenue, and CPGs fund 40 to 60 percent of every promotional event — yet every disconnect between the three levers is margin left on the table. The era of point solutions is over.
Category teams keep getting smaller while the lever count grows. One shared workspace across pricing, promotions, and markdown — built against a single demand model — is designed to collapse the manual scenario work into a single goal-based planning conversation.
The promise
One demand model. Three levers that finally agree.
Base price, promotion, and markdown are three views of one forecast, not three products bolted together. The model that sets everyday price is the model that runs the event and clears the season — so the levers never fight each other, and you protect and grow margin from the budget you already have.
See what runs on itOne demand forecast
90%+ accuracy · 25+ years of science
What's inside
One connected suite, not bolted-together tools
Three levers, one workspace, one forecast. Each connects to the next — and to the vendor dollars that fund it.
Price AI Co-pilot
AI that reads the scenario, not just the data
Built on 25+ years of demand science and 90%+ forecast accuracy, the Price AI Co-pilot summarizes what a scenario means and drafts the rules to get there — so merchants spend their time deciding, not building.
The Co-pilot augments the judgment of your merchants. It does not replace it. Humans own strategy, pricing philosophy, and final approval.
Scenario AI Summary
Scenario B lifts units 2.1% at a 0.4pt margin cost. 90%+ of the volume gain comes from three price families; two breach the margin floor rule.
- Holds 38 of 40 active rules
- 2 constraints flagged for review
- Vendor funding covers 46% of the event
AI Rules Assist
Drafts rule and constraint changes for a merchant to review and approve.
Three cumulative packages
Shape the strategy. Engage the shopper. Prove the return.
Pricing & Markdown
Model price moves before you commit, compare scenarios side by side, and keep every decision inside your rules.
- AI Multi-Strategy Price Scenarios
- Smart Scenario Comparison
- Dynamic Rules & Constraint Framework
- Forecast-led Markdown Schedules
Promotions
Plan and flight events on a calendar built from committed vendor funds, co-planned with your CPG partners.
- Promo Planning
- Promotion Flighting and Execution
- CPG–Retailer Co-Planning
Revenue Intelligence
Post-evaluation on live data and eventing that closes the loop back into next quarter's plan.
- Promotion Eventing & Slotting
- Dynamic Digital Promotion Execution
- Revenue Intelligence & Post Evaluation
Same spend. Better execution.
Faster decisions, fewer manual predictions, measurable lift
90%+
demand-forecast accuracy behind every pricing and promotion decision
40+
rule types, so more predictions are science-based instead of manual
Faster decisions
Scenarios modeled in minutes, not days — every lever reviewed in one workflow.
Fewer manual predictions
Science-based forecasts replace spreadsheet guesswork across pricing, promo, and markdown.
Measurable lift
Post-evaluation on live data proves the return of every move, not just the plan.
Protected margin
The levers stop fighting each other, so margin stops leaking in the gaps between them.
Connected to the deal layer
The funding behind your promotions lives one layer down
Vendor-funded events do not run on assumed dollars. Revenue Optimization pulls real, committed funding from the bilateral trade layer — where retailers and their CPG and broker partners co-plan and settle every deal — so the promotion you flight is the promotion your partner actually funded.
See Trade IntelligenceRun all three levers against one demand model
A 30-minute walk of the platform against your own pricing, promotion, and markdown workflow.