Speed
A full set of post-promotion insights within minutes.
Gazelle Promotion Optimizer
Gazelle Promotion Optimizer automatically assesses how past promotions really performed, then builds a promotion calendar for each customer that you can optimize for the year ahead.
The problem
Post-event analysis arrives months late, so next year’s plan is built from habit and retailer requests. Sales teams spend hours assembling calendars by hand, and nobody can say which events actually paid back.
Post-promotion reviews arrive too late to change next year’s plan.
Deep discounts drive volume but quietly erode margin.
Calendars are built by hand, customer by customer.
Effects like pull-forward and cannibalization are rarely measured.
How it works
Promotion Optimizer reuses the predictive models from the Pricing Optimizer, so promotion and price are judged on the same view of demand.
Predictive models from the Pricing Optimizer forecast how a promotion will perform before it runs.
Integrates with your current systems to pull historical promotions and assess their effectiveness automatically.
Builds a promotional calendar for each customer from past events, ready to optimize for the future.
An AI agent proposes a calendar, a deterministic evaluator scores it against your KPIs and constraints, and the agent iterates until the plan meets your objectives.
The evaluator is deterministic — it scores every draft the same way, so the AI can’t grade its own homework.
What it evaluates
Return on trade spend for you and for the retailer.
Volume a promotion truly adds, by mechanic — TPR, feature, display.
Sales stolen from your own products, or borrowed from future weeks.
Positive knock-on effects on related products.
Trade budgets respected by customer and period.
Required time between events on the same product.
Plans the supply chain can actually deliver.
Why it’s different
A full set of post-promotion insights within minutes.
Automated calendar creation saves sales teams hours of manual planning.
Scales to businesses of any size, across industries.
Your team runs it — no dependency on external vendors.
On the roadmap: AI optimization of calendars and events — Agent-driven optimization of the full calendar against business objectives and constraints.
See it in action
We show the real product on real data in a 30-minute walkthrough — not a mock-up.
Data & integrations
Promotion history
Sales data
Systems
No. It integrates with the systems you already use to pull historical promotions, and adds the measurement and optimization layer on top.
It uses the same predictive models as the Pricing Optimizer to separate a promotion’s true lift from what would have sold anyway.
Yes. A promotional calendar is generated for each customer, based on that customer’s past events.
Calendars are evaluated against retailer ROI, cannibalization and pull-forward, cross-SKU halo, spend caps, minimum gaps between events and supply feasibility.
It is in development. Today you get automated effectiveness assessment, performance prediction and automated calendars.
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Learn more →
A 30-minute walkthrough of Gazelle on a category like yours.