The best retail experience isn't the one with the most products. It's the one that shows you exactly what you need, before you knew you needed it.

B2Metric Reco AI-Agent is an AI-based recommendation engine and shopping assistant built to create that experience at scale — analyzing customer behavior, purchase history, and segment transitions to deliver the right product at the right time through the right channel.

How Reco AI-Agent Works

Next Best Offer (NBO) — recommending the most suitable product or campaign to each individual customer based on their behavioral profile, not just their last purchase.

Next Best Action (NBA) — identifying the personalized incentive that will most positively influence the customer's next step, whether that's a discount, a reminder, a cross-sell, or a loyalty reward.

The system analyzes customer purchase history, browsing behavior, segment transitions, clickstream data, and funnel drop-off points in depth — and determines the most appropriate action for each customer automatically.

The Customer Journey, Personalized at Every Stage

Awareness — upon first entry, Reco AI-Agent displays a personalized showcase built from behavioral and demographic data. No generic homepage. A curated experience from the first click.

Consideration — as the user browses, it recommends similar products and cross-selling opportunities in real time, based on what they've viewed and what customers like them typically do next.

Purchase — it identifies drop-off risk at the critical moment and offers instant discounts or incentives before the session ends.

Loyalty — for loyalty program members, it increases CLV through personalized campaigns that reward behavior and deepen engagement over time.

Multi-Channel Integration

Reco AI-Agent doesn't stop at the website. It tracks customers seamlessly across e-commerce sites, mobile applications, email, SMS, push notifications, call centers, and in-store systems — providing consistent, personalized, and contextually relevant recommendations to the same user across every touchpoint.

By consolidating online and offline customer data in one place, it gives brands a true 360° view of each customer — not a fragmented picture pieced together from disconnected tools.

Adaptive Learning

The system measures the performance of every recommendation in real time — click-through rate, conversion rate, and revenue uplift — and continuously optimizes itself based on what it learns.

Every campaign, every offer, every recommendation becomes more accurate over time. The longer it runs, the smarter it gets.