Reach shoppers at the exact moment of decision.

A responsive, measurable channel inside the physical-store purchase decision. AICap identifies relevant shopper intent, brings your product into consideration, explains why it fits, handles objections, tests messages and offers, and connects that influence to what the shopper actually bought.

Retail media is built around exposure. AICap starts when a shopper expresses a need — “I need a bold red under $40 for steak” — and your product is a credible answer. Exposure becomes a conversation: stated intent, relevant consideration, explanation, follow-up questions, and purchase.

They tell it. One sentence carries budget, occasion, recipient, taste, and hard constraints — intent that online systems reconstruct from clicks, search history, and past transactions, if they get it at all.

Three components: a program base, a rate per measurable shopper engagement, and a rate per prioritized appearance. You pay for qualified decision activity rather than raw impressions, and a first program starts as a bounded test.

A handful of stores and one objective. That's enough to see how shoppers respond to your product, test two or three messages, and price the economics before you expand.

No — and that's why the influence is worth buying. Paid priority gives an eligible product more opportunities to appear when it genuinely fits, while shopper fit, product truth, availability, retailer economics, and recommendation quality shape the final choices. Shoppers trust the recommendation, which is what makes participating in it valuable.

Priority doesn't reserve the shopper. When multiple products fit, they compete on shopper fit, product truth, availability, retailer economics, and commercial priority. AICap captures the comparison and the shopper's response — and that readout is often worth more than the appearance you lost.

Most shoppers start with a need, not a brand. When your product fits, AICap introduces it, explains why it's relevant, compares it against the familiar alternative they came in for, and measures whether that introduction moved them.

A new product's problem is that nobody asks for it by name. AICap finds shoppers whose stated needs fit it, introduces it mid-decision, tests positioning and offers, and measures consideration, trial, conversion, and incremental impact.

Shelf placement buys availability. AICap turns it into demand: identifying relevant shoppers, earning consideration, explaining the product, answering objections, and measuring the resulting purchases. You worked to win that placement — this is how it produces velocity.

Consideration, discovery, trial, conversion, units, trade-up, basket attachment, offer response, incremental sales, or gross-margin dollars. Because AICap observes both the decision process and the outcome, it learns which messages, offers, and interventions move your specific objective.

Continuously. Product stories, benefits, explanations, objection responses, and offers run against each other, and AICap measures which ones change qualified shopper behavior and purchase outcomes — not which ones got attention.

AICap reveals the decision that sales data misses: the shopper's mission, the alternatives considered, the questions asked, the objections raised, and the stated reason for preference or rejection. A competitive loss becomes evidence you can act on.

The decision behind the sale — missions, questions, consideration sets, comparisons, objections, rejected alternatives, responses to your messages, and downstream outcomes. Not just what shoppers chose, but what shaped the choice.

Yes. AICap links campaign interactions to the resulting transaction and product outcome through retailer transaction data.

Campaign outcomes are compared against a credible baseline using randomized exposure or controlled store, aisle, time, or shopper comparisons. The result reports as incremental sales or gross-margin impact — a business number, not a media metric.

Down to the decision: participating stores, products, shopper missions, specific questions, decision contexts, messages, and offers. Your budget goes where your product has a real reason to win.

Across participating stores that carry your product, starting with a retailer, region, category, or small store group. AICap is cross-retailer, so one objective runs across multiple retailers while each store's assortment, pricing, and availability stay specific to that location.

Because a successful campaign creates retailer value too. Relevant brand participation improves product discovery, conversion, mix, and gross-margin dollars while giving the retailer better shopper and merchandising intelligence. Your brand spend becomes measurable contribution to store performance.

It gives you and the retailer shared evidence around the same shopper decision — engagement, consideration, purchase, and gross-margin outcome. That turns joint business planning from a negotiation over allowances into a conversation about measured contribution.

AICap captures declared intent, the choices presented, shopper responses, and purchase outcomes across stores. Every question, refinement, comparison, objection, and outcome improves future recommendations and campaigns, and gives brands a richer view of how physical-store decisions get made.