For decades, the driving force in digital commerce has been “know your customer,” with brands pouring billions into CDPs and personalization engines to chase that promise. But in the moment that actually matters (e.g., when a shopper is deciding whether to click “buy” or abandon their cart), that data isn’t immediately available to inform the next step. The profile a marketing team is so proud of was accurate yesterday, but in the seconds a visitor spends on a product page, it’s often already stale. This is the gap between knowing a customer and acting on that knowledge in the moment — and closing it is what we mean by intelligence at the edge.
This is what Loomi, our AI for customer engagement, is made for. Loomi is able to make decisions at the exact point when a customer interacts — informed by both their in-session behavior and a deep historical understanding of who they are. Rather than solely relying on data that arrives from a warehouse after the moment has passed, Loomi combines that data with customer context in the moment to turn every touchpoint — search, product page, cart, email open, SMS tap, push notification, and more — into a live decision point. The result is optimization for the outcomes that actually grow the business: revenue per visitor, customer lifetime value, margin protection, and retention.
Let’s dive deeper into how each interaction feeds back into the system, and how this helps brands widen the gap between them and their competitors.
The Challenge With Data Delays
Marketers know this instinctively: Some decisions have a shelf life measured in minutes. For example, you might pull a customer out of a promo audience because they were going to buy anyway or drop someone from an expensive SMS or RCS send because they already opened the email or just walked into the store. Make those calls five minutes late, and they’re worth nothing — they have to be made where the interaction is actually happening.
Think of it as three layers.
- The warehouse holds the record of who someone is.
- The channels do the sending.
- And the decision straddles the two.
The market is trending toward consolidating all of it into the data warehouse. The warehouse matters, and it should hold the record. But decisions that have to be made in the moment belong next to execution, in the engagement platform, which is what lets you act when a customer has just walked into your store.
Why Decisions Belong Next to Execution
When decisioning sits with execution, it can read three things at once: what someone is doing right now, what you already know about them, and what the business needs today. That includes margin, stock levels, channel performance, and the offer they were shown yesterday. Every outcome also updates the next decision immediately, because the result doesn’t have to travel back up to the warehouse before the system can learn from it. Separate decisioning from execution and the loop still closes, but only hours later, after the moment has passed.
How Loomi Delivers Intelligence at the Edge
Loomi is uniquely positioned to deliver meaningful value and intelligence where your customers are. Plenty of platforms move data quickly, but fewer keep a live per-customer profile next to execution, which is what a decision made in the moment actually needs. Here’s what sets us apart:
Customers Are Seen as Individuals, Not Segments
Loomi doesn’t match customers to prebuilt audience buckets. It evaluates each person in real time, including their full behavioral and transactional history and in-session signals, to understand what the customer needs. Business context (margin targets, inventory position, strategic priorities, etc.) then informs which personalized experience actually gets served. Every decision — what to recommend, what to rank, what to suppress — is computed for that one customer at that one moment, personalized *and* aligned to the business.
Composite Intelligence
Loomi brings together three types of AI:
- Deterministic rules deliver control (consent, compliance, business logic)
- Predictive ML delivers precision (churn prediction, optimal send time, product affinity)
- Generative AI delivers creativity (copy, campaign building, plain-language goals)
Instead of simply resorting to generic LLMs for everything, Loomi is purpose-built for customer engagement and uses the right model for the specific task to deliver the best results.
Built-in Channel Governance
Loomi doesn’t optimize each channel in isolation and hope for the best. Frequency policies, suppression logic, and real-time engagement signals work cross-channel (email, SMS, web, app, push, ads), so the system knows when to reach a customer, where to reach them, and when to hold back entirely. A customer who prefers SMS and ignores emails gets a text. A customer who’s been heavily messaged this week across multiple channels gets suppressed. Optimal send time picks the right moment per person per channel. The result: the system protects the customer relationship across all touchpoints, not just maximizes each one independently.
Increasing Value Across Channels
Every interaction — a search query, a browse session, an email open, an SMS tap — feeds back into the same unified profile and sharpens every subsequent decision across every channel. A browse on the website improves the next email recommendation, and a purchase updates the search ranking. Loomi doesn’t just personalize — it gets smarter with every touchpoint, which is something that most other platforms structurally can’t replicate.
What Intelligence at the Edge Means for Your Business
Your personalization is only as good as your data, and if your data isn’t activated in real time, then it loses its impact. The decisions that grow revenue, protect margin, and earn loyalty are most effective and profitable when you know the whole customer at the exact moment they’re interacting with your brand. This is what you can achieve with intelligence at the edge:
Increased Revenue
Real-time signals like a restock, a price drop, or a table opening up create a short window where a customer is primed to act. Real-time intelligence increases revenue because it converts demand while it’s still there to be converted.
For example, when a new visitor arrives on your site with no login, history, or segment on file, there’s nothing to query with your data warehouse yet. That’s where intelligence at the edge is key — Loomi uses signals like which channel the visitor came in from, what page they landed on, and what they searched for first to immediately personalize the experience. Any emails you send also get the same treatment — Loomi calculates the optimal send time on an individual basis to maximize opens and click-throughs.
If you want to prioritize VIP loyalty members with limited-run item restocks, you can do that in real time as well. Give VIP members first access to the items, then promote it to everyone else later — if the stock runs out during the VIP window, then lower tiers don’t get the offer, protecting both margin and loyalty.
When you’re trying to drive additional revenue during crucial events like Black Friday, you can use Loomi to reconcile multiple live signals in real time. For instance, if a shopper wishlists an item or leaves it in their cart, you can notify them the instant a price drops (unless they’ve already bought it). Loomi reads each signal at once (wishlist, cart, and purchase history) so that it only sends the offer to people it’s relevant to in the moment.
More Efficient Spend
When you operate based on what a nightly model predicted yesterday, you’re more likely to waste spend and effort. Real-time intelligence helps you avoid chasing intent or channels that have already gone cold.
Instead of using scheduled preference scores for channels, Loomi checks what’s actually happening in the moment a message is about to be sent. For example, did the customer open an SMS in the last hour? Or are they actively browsing the site on their smartphone right now? Did a push notification from earlier go unread? All these signals inform Loomi whether to override the default and reroute to the channel that’s working right now. That means you don’t waste budget sending a message to a channel the customer is currently ignoring.
Similarly, Loomi can calculate content and send frequency per customer. For example, a footwear brand noticed that full-price customers were getting the same discount blast as everyone else, which was training them to just wait for sales. With Loomi’s real-time intelligence, only customers with a penchant for discounts would see the markdown emails, which helped preserve margin and maintain the premium feel of the brand.
Greater Loyalty
Instead of sending a generic message based on an outdated picture of your customers, real-time intelligence ensures your response matches what’s actually happening to the customer in that exact moment. This greatly improves your brand experience and keeps customers coming back.
For example, let’s say a customer shops for their kid several times with your brand, but is currently browsing adult apparel. A traditional platform would use a composite of every journey they’ve taken in the past year, resulting in the customer still seeing kids’ items because that’s what the historical average favors. Loomi looks at the live signal and can override the centrally derived next-best action, so the customer sees recommendations that track the journey they’re on today, which shows that your brand is responsive to real-time intent.
That responsiveness can also surface through customer service. If a customer is getting frustrated (such as from a shipment getting delayed), Loomi will assess the customer (how much they’ve spent, whether they’re a repeat buyer, etc.) and decide what to do on the spot. A first-time customer might get an apology email, while a top-tier repeat customer gets pulled out of the email queue entirely and gets a personal call from a human agent.
Real-time intelligence also allows for more proactive surprise and delight to drive loyalty. For instance, a hospitality brand can track which restaurant, venue, or property each customer treats as their favorite. Then, inventory data (e.g., table availability, remaining slots, last-minute openings) feeds into the system in real time. When that favorite location has an unexpected opening, Loomi can match the live availability against the customer’s preference and send an immediate notification with an offer.
Start Driving Intelligence at the Edge With Loomi
Your customers aren’t static — they’re shopping in nuanced and dynamic ways that aren’t always easy to predict. If you’re operating with day-old data, then you’re operating on a likely outdated view of your customer.
To meet your customers where they are, you need intelligence at the edge. And to activate that intelligence, you need a platform that can fully understand what your customers want at any given moment and deliver that experience. Loomi is specifically built to make live decisions across every channel, so you’ll always engage customers with their most recent preferences and behavior in mind. Learn more about how to drive intelligence at the edge with Loomi.
