The Agentic Era: Smarter Shopping, Sharper Offers

AI concierges, personalized offers, and the next generation of shopper engagement.

Saptarshi Nath

May 2026

A lot has happened in May. Our most major upgrade: our Agents no longer work behind the scenes, they work with your team (and ours) to solve your most critical challenges.

An AI Concierge for your loyalty customers

The AI concierge is a shopping guide for loyalty members, making everyday grocery decisions faster and easier. It answers practical questions in plain language—what to cook tonight, what to stock up on for the week, what pairs well with items already in the cart, or how to swap ingredients based on preferences—helping shoppers decide what they need before they even step into the store.

It’s built to feel like a calm, trusted in-store helper: warm, efficient, and trained on your data and business context—you can even give it a personality that reflects your brand voice.

Behind the scenes, the AI concierge connect to our machine learning models, shopping history, preferences, as well as external resources like social media, weather, and location data.

The part I’m most excited about in our approach? There is no app to download. Your shoppers simply text the concierge like they were texting a friend.

Your shoppers now receive only the offers they care about

A typical Weekly Ad can be up to 10 pages long and run offers on 8,000 SKUs. It's a lot for a shopper to sift through.

Enter Goodlight AI's new Offers Matching product. With our proprietary offer-matching model, we can deliver a shortlist of only the offers your individual shopper will care about. People without pets won't receive pet food offers, while people who need gluten free products will have those offers surfaced up top instead of them being buried within the ad pages.

These offers can go out in emails, SMSes, and app push notifications. Here's what an email looks like:

If you aren’t using the treasure trove of data you have to make your shoppers’ lives better yet, please hit us up. Our team would love to help.