AI-Driven Pricing & Promotion Optimization

Test price points and promotions continuously, inside guardrails you set, instead of running last year's calendar on autopilot.

The problem it solves

Promotion calendars are usually set months ahead on intuition and then run to completion even when performance says otherwise, because nobody has the bandwidth to check thousands of SKUs against a control group in real time. What worked once keeps running long after it stopped moving the needle.

What it does for your business

Runs controlled experiments continuously

Tests price and promotion variations across products and segments, always inside the floors and rules your team defines.

Measures cause, not correlation

Isolates what a price or promotion change actually caused, controlling for seasonality, so "it worked" becomes a measured number.

Shifts spend toward what performs

Reallocates promotional budget away from offers that only discount and toward offers that genuinely lift revenue and margin.

Keeps a full audit trail

Every active test, its guardrails, and its measured impact stay visible in one place, and can be paused or reversed at any time.

Where this moves the needle

Higher promotion ROI Less margin lost to blanket discounts Faster iteration on pricing tests Broader test coverage across the catalog
How it works
A bandit-style optimization loop tests pricing and promotion variants and reallocates toward what performs, constrained by the margin floors and business rules you configure. Order volume is assessed during scoping to confirm the model has enough signal to learn quickly.
What we need from you
Historical promotion performance, current pricing and promotion rules, and the margin guardrails your team wants enforced.

Talk through Pricing & Promotion Optimization with our team

A working session on your architecture and goals, with a look at how the shadow-mode rollout works before any price changes go live.

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