Retail / CPG
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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.
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.
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.
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.
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"Our customers feel recognized and valued, and we've benefited from improved customer loyalty."
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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.
