Real-Time Personalization
When every page view triggers a personalized recommendation rendered immediately to the user, there is no downstream reconciliation. Once the recommendation is emitted, the system has already acted.
28 milliseconds of coherence
From click to personalized result—watch how real-time context enables decisions that would be impossible with stale data.
The stakes are immediate
At scale, recommendation is not an exploratory query. It is the decision.
That decision determines which products receive exposure, which items accumulate velocity, how inventory is depleted, how demand propagates through fulfillment, and which sellers benefit or suffer.
Errors are not abstract. They materialize instantly as missed revenue, degraded user trust, and operational imbalance. There is no slack in this system. No retries. No eventual correction.
Operating at scale
Within millisecond latency budgets, determine what logic to apply and what state to evaluate—then commit to an outcome that immediately affects shared resources.
Millions
Active products
Millions
Concurrent sessions
Millions/min
Recommendation decisions
Milliseconds
End-to-end latency
Semantic interpretation drives logic
Two users viewing the same catalog generate structurally different decision predicates based on real-time session interpretation.
Session: Price-Sensitive
inventory_available > 0
AND price < 50
AND sales_last_30s > 5
AND competitors_in_stock < 3
Session: Quality-Sensitive
inventory_available > 0
AND review_rating_last_100 > 4.5
AND return_rate_last_7d < 0.03
AND seller_reliability > 0.95
These are not parameterized variants of a fixed query template. They reference different features and encode different decision logic. The structure itself is derived from semantic interpretation of session history.
Fast-moving, decision-gating features
Once any one of these features is fast-moving and decision-gating, the entire predicate becomes time-critical. Evaluating parts against stale state means deciding against a combination of facts that never coexisted.
Inventory & Velocity
Stock levels, sales_last_5s, clicks_last_30s, trend acceleration—signals designed to capture what is happening now.
Session Intent
A single click can flip intent from browsing to buying, activating different constraints and feature sets in real-time.
Policy & Compliance
Fraud flags, quality holds, risk_category gates flip instantaneously. The moment they change, decisions must change.
Fulfillment Signals
Delivery slots, warehouse congestion, fulfillment latency—demand pushed into bottlenecks the system can no longer serve.
Coherence requires
Shared · Live · Semantic
Correct personalized recommendations at scale require three properties to hold simultaneously within a single decision boundary:
Shared
All agents query the same state—no conflicting snapshots under concurrency
Live
Decisions reflect current reality—millisecond freshness, not eventual consistency
Semantic
Context is understood, not just stored—logic applies based on meaning
Tacnode Context Lake delivers Decision Coherence by unifying these properties within one system, rather than attempting to coordinate multiple systems whose guarantees stop at their boundaries.
Ready to see it in action?
Book a demo to explore how Tacnode Context Lake delivers Decision Coherence for real-time personalization.