Redis × Stacker Group

Real-time decisions that drive real business value

Every company today is sitting on mountains of data – but the real challenge isn’t collecting it. It’s acting on it, instantly.

That’s why Redis and Stacker Group have joined forces to launch a new Next Best Action (NBA) and Next Best Offer (NBO) solution. Together, we help organizations move from slow, batch-based decision-making to real-time intelligence, where every customer interaction, click, or transaction triggers the most relevant, valuable action automatically.

This partnership brings together three powerful components into a new Real-time Decisioning Stack (RDS):

• Redis: The real-time data platform built for speed and scale.
• Redis Data Integration (RDI): The bridge that keeps data continuously fresh and connected across systems.
• Stacker Group’s AI engine, Relight Decision Memory (RDM): The brain that learns from every interaction to help your models predict and optimize what happens next. Relight Decision Memory comes from Stacker’s AI Lab, where cutting-edge AI methods are developed.

The result: a unified, intelligent system that continuously learns, adapts, and delivers measurable business outcomes.

From reactive to real-time: Why this matters

Most organizations still make decisions using models that are trained offline and updated occasionally. That’s like navigating using yesterday’s map.

The Redis × Stacker solution changes that. It allows businesses to:

• React in real time to customer behavior, risk signals, or operational events.
• Continuously improve decisions through built-in feedback loops.
• Eliminate data delays that slow down marketing, risk, and CX teams.

With Redis at its core, every decision is powered by live, accurate data. No waiting, no batch updates.

What this looks like in practice

Imagine you’re a digital bank, an e-commerce brand, or a mobility platform.

When a user logs in, adds an item to a cart, or submits a transaction:

1. Redis captures and streams that event instantly.
2. RDI ensures that Redis has the latest customer and contextual data.
3. Stacker’s AI engine, Relight Decision Memory (RDM), gives you the context required to analyze the event and recommends the best next step: maybe a personalized offer, a risk flag, or a proactive notification.
4. Redis executes that action through your app or service, all within milliseconds.

This is the Next Best Action loop in motion—learning, deciding, and acting continuously.

Measured business impact

Real-time decisioning is not just about speed. It directly affects how customers perceive your brand and whether they choose to buy, return, or churn. Recent research shows that customer expectations for relevance in the moment have never been higher.

• Customer expectation for real-time relevance: 71% of consumers expect companies to deliver personalized interactions, and 76% become frustrated when this does not happen. Source
• Influence of targeted promotions on purchase decisions: 65% of customers cite targeted promotions as a primary reason for making a purchase. Source
• Operational and cost efficiency from real-time AI: Companies that shift from scheduled, manual decisions to continuous, data-informed automation can reduce operating costs and improve responsiveness at scale. Source
• Enterprise readiness gap for AI and decisioning: Only 22% of companies have moved beyond AI proofs of concept to realize meaningful value at scale. Source

Bottom line:Customers now expect brands to understand their intent and respond in the moment. Enterprises that can sense, decide, and act in real time create value and capture demand that competitors miss.

Smarter experiences, safer interactions

One of the most powerful use cases is something we call Adaptive Routing — a way to balance customer experience with trust and safety.

For example:

• Low-risk customers are fast-tracked with instant approvals.
• Medium-risk transactions trigger extra checks automatically.
• High-risk scenarios route to manual or AI-assisted review.

This means better security without slowing down good customers.

How Redis Data Integration (RDI) fits in

If Redis is the “engine” of this solution, RDI is the fuel line — keeping everything flowing smoothly.

RDI connects your existing systems (databases, applications, data lakes, and event streams) directly into Redis Enterprise. This means that:

• Customer profiles are always up-to-date.
• AI models get fresh, live features to make better predictions.
• Teams can see and respond to changes the moment they happen.

It removes the traditional barriers between analytics, operations, and decisioning — turning your data ecosystem into a single, synchronized real-time network.

Why Redis × Stacker is different

Most “AI-driven” systems are reactive because they analyze data after the fact. Redis and Stacker make intelligence operational, powering real-time decisions as events happen.

The addition of Redis Data Integration means your decisioning engine is always operating on the latest version of reality. No manual refreshes, no lag, no missed opportunities.

This is real-time performance engineering:

• Intelligent systems that learn as they operate.
• Business logic that evolves with customer behavior.
• Data pipelines that power both analytics and action.

What comes next

Redis and Stacker work with leaders in financial services, telecommunications, retail, and media to embed real-time intelligence into their most important journeys.

If your organization wants to explore how real-time decisioning can drive revenue, reduce risk, and improve customer experience, we would be glad to show what is possible.

Request a Redis and Stacker demo and see how real-time decisions deliver real business value.