How AI is Moving CPG Monetization to the Point of Decision

For decades, promotions have been set in advance. Brands plan offers, retailers load them, and shoppers either see them or don't. The structure leaves little room to adjust for who is buying, what is in the basket, or whether the offer makes financial sense in that moment.

Artificial intelligence can now decide which promotional offer a shopper receives and what the optimal time for them to receive it will be.

Retailers that recognize what that shift unlocks are starting to deliver better value to CPG partners and customers, improving their win rate on both sides of the register.

Optimal Offer Timing Leads to Optimal Purchase Decisions

One of the most exciting applications of AI that I've encountered is that it can evaluate any customer's live transaction and determine whether any offer should apply, and if so, which one. Instead of applying the same promotion to everyone, the system resolves the offer based on the specific shopper, basket, and context, at the precise moment it's most likely to influence a sale.

These systems evaluate purchase history, category behavior, and signals of price sensitivity or brand switching. They can also enforce retailer- and brand-defined constraints such as eligible products, margin thresholds, and how frequently a shopper should receive an offer. If the economics do not work, no offer is applied.

In practice, this looks more like airline loyalty than potentially discriminatory dynamic pricing strategies now under scrutiny in many states. The difference is subtle but important. Dynamic pricing means charging different amounts for the same item depending on who is buying and when. Under the airline approach, a frequent flyer doesn't pay a different fare, but they earn miles faster and unlock rewards that occasional travelers do not. The price is the same. What that loyalty earns you is not.

Applied to retail, a loyal shopper might earn accelerated points or unlock an offer after their next qualifying purchase, rather than a discount they didn't need to close the sale. A shopper showing signs of switching gets a timely offer structured to retain them. The shelf price is identical either way. Offers become earned rewards, not arbitrary price differences. That structure also changes what retailers can prove to their brand partners.

The New Balance of Power in CPG Funding Dynamics

This creates a notable shift in the retailer-CPG relationship. Trade promotion has traditionally operated on projections. Brands fund campaigns based on expected reach, retailers execute, and performance is analyzed after the fact. The connection between a specific offer and a specific purchase is often inferred, at best.

That all changes when the offer decision happens at the transaction itself. The retailer can tie a promotion to a single shopper, a specific basket, and a confirmed purchase. Estimated impact becomes observed outcomes.

No other channel puts brands closer to the purchase decision than in-store retail. When retailers can prove that proximity is converting with real transaction data that's tied to real outcomes, their value to CPG partners is hard to beat.

Retailers that demonstrate measurable lift earn more trade funding, on better terms, because they've made themselves indispensable to the brands they carry. At the same time, the retailer controls the decision logic and the underlying shopper data. What is shared, and how, stays in their hands.

Decision Control Depends on Execution

Retailers that are further along with this tend to have a few things in common:

1. Their shopper data is connected to their transaction systems and always up-to-date.
2. Their merchants and finance teams can see how offers are affecting margin without waiting for a weekly report.
3. They've made sure their e-commerce, mobile app, and point of sale can support the kind of real-time decisioning this requires, because without it the personalization layer has nothing to work with.

Most retailers already have the ambition to make this a reality. The ones seeing results have done the unglamorous work of getting their data and systems ready to support it. When that foundation is in place, the CPG conversation changes. Brands stop funding campaigns based on projected reach and start funding outcomes they can measure. That's a better deal for everyone.

Bill Miller is general manager and president of GK Software Americas, a retail technology provider serving leading operators across grocery, specialty, and other retail verticals.