Promotional Optimization

AI that projects promotional lift, detects cannibalization, and estimates ROI before you commit spend. Stop planning promotions on gut feel.

The majority lose money or break even, and you only find out after the spend is committed. Planning without scenario modeling means every promotion is a gamble.

Predict lift before you commit spend

More than one million AI models, built at product group and store group level, forecast incremental sales, margin impact, and cannibalization for every proposed promotion. You see projected ROI before the spend is committed, not after.

Catch cannibalization before it erodes margin

When you promote one SKU, adjacent products are affected. AI identifies which promotions steal from your own margin (cannibalization), so you optimize the portfolio, not just the individual event.

Measure what actually worked

Continuous performance tracking separates incremental lift from baseline sales. You have timely visibility into whether a promotion is delivering, and the data to negotiate smarter with CPG partners.

$93M in promotional profit
at a top U.S. grocer in a single year, representing 51% of $182M total incremental profit. ~173 promotion projects optimized
Kraft Heinz uses SymphonyAI for promotional planning
"With SymphonyAI, we put the shopper at the center of every decision." (Jessica Keenan, Director of Category Leadership)
5.0% promotional sales uplift
measured in control group trials, with 1.2% total sales uplift across all categories touched by promotion optimization
-70% reduction in ineffective promotions
Fewer promotions that erode margin; more that deliver measurable incremental lift.
$2.20 incremental sales per $1 invested
Every $1 invested in a top-performing promotion delivers $2.20 in incremental sales versus underperforming promotions
Why do most retail promotions lose money?

Most promotions are planned using historical averages and gut feel, without modeling cannibalization, pantry loading, or incremental lift. The promotion generates volume, but that volume often comes at the expense of margin on adjacent products or from sales that would have happened anyway.

What is promotional cannibalization and how do you prevent it?

Cannibalization occurs when a promoted product steals sales from other products in your own assortment rather than driving truly incremental volume. AI detects these patterns before launch by modeling cross-product demand effects, so you can adjust timing, depth, or product selection before committing spend.

How does what-if simulation work for promotions?

You define a proposed promotion (product, discount depth, duration, stores) and the AI projects the outcome: incremental sales, margin impact, cannibalization, and halo effects. You compare multiple scenarios side by side and choose the one with the best projected ROI.