Retail stores.
Regulars who keep coming back, email and text campaigns that run on rules, and shelves that follow what people really buy.
How can a retail store use AI to bring customers back and plan inventory?
A shopper who bought twice last year hasn't come in since spring. The thing they came for sold out, while something else sits half-full on the shelf. Foot traffic follows the weather and the street, and the loyalty card in the drawer isn't doing much. The reviews on the map listing come from whoever felt strongly enough to post, one way or the other. A neighborhood store wins by knowing its customers, and that knowledge usually lives in one or two people's heads.
What we build.
Customer Retention
Recognizes repeat shoppers, gives them a reason to return, and reaches the ones who stopped coming in. Offers follow what each customer really buys.
Marketing Automation
Runs email and text campaigns on rules: a welcome, a note after a purchase, a nudge when a regular goes quiet. Campaigns go out on time and stop when the shopper buys.
Inventory Forecasting
Reads sales history, season, and local patterns to suggest what to reorder and how much. Fewer shelves sit empty while others overflow.
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