Promotional Optimization

Project the outcome before you commit the spend

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

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.

Real outcomes, proven in production

$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

Frequently asked questions about retail promotion optimization

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.
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.
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.

See what your next promotion will deliver.