Meet Customers Where It Matters Most - In the Moment

Real-Time Personalization for Retail

Turn real-time customer footprints into immediate, personalized retail experiences. Trigger contextual campaigns, adjust pricing dynamically, and boost ROI through agile, real-time decision-making.

Behavioral Data

Track Shopper Behaviour

Capture every customer footprint: clicks, views, purchases, and in-store actions and build a real-time view of shopper intent. This behavioral data fuels machine learning models that deliver personalized recommendations and targeted offers.

With platforms like Nussknacker and Shomnify, retailers can respond instantly to customer actions, improving engagement, increasing conversion rates, and creating seamless, relevant experiences across all channels.

Stylized human footprints representing the physical paths and movements of customers within a retail store environment
Point of Sale

Turn Visits into Conversions

Turn every customer visit into a high-impact moment with real-time insights delivered directly to store staff. As shoppers move through different areas, systems powered by Nussknacker detect presence and preferences instantly, highlighting loyalty status, product interests, and recent interactions.

This empowers POS teams to offer timely, personalized support that feels natural and relevant. The result: stronger engagement, increased sales, and a more dynamic in-store experience that adapts to each customer in real time.

POS system graphic emphasizing how active store staff can influence and increase sales
Omnichannel

Unified Customer Experience Anywhere

Deliver consistent, personalized experiences across all customer touchpoints - online, displays, in-store, mobile, or call center. Nussknacker seamlessly integrates with any channel, enabling real-time decisioning and business logic to run wherever your customers are. This ensures smooth, unified journeys that adapt instantly to behavior in any context.

Illustration of omnichannel retail strategy powered by real-time data and personalization
With Nussknacker

Personalization and Inventory Monitoring

Retail teams use Nussknacker's visual interface to build and update decision logic for live events, from customer personalization to inventory monitoring.

The demo starts with stock-level alerts and adds an OpenAPI service that supplies daily demand for each product. The scenario uses that demand plus a buffer to calculate the restocking threshold. The updated rule can then be deployed from the designer.

More about product

Architecture

Designed for Real-Time Data Processing

Signals from in-store sensors, the mobile app, the e-commerce site and the point of sale flow into Nussknacker as one event stream on Apache Flink. Nussknacker enriches each event with the customer profile from your CDP or CRM and scores it with your ML models.

Business rules, decision tables and session tracking decide what happens next, and the resulting offers and recommendations reach the shopper on the channel they are using at that moment: a store assistant, an in-store display, electronic shelf labels or an email campaign.

Visual representation of a retail architecture including point-of-sale, customer journey, and data integration
In Practice

Retail Use Cases

Personalized ML Recommendation

Hyper-Relevant Suggestions That Convert

Retailers use real-time machine learning to recommend products, bundles, or promotions personalised to individual shopper behaviour. The integration displays live ML results throughout the customer journey - triggering the right recommendation at the right time, whether online or in-store.

Intelligent recommendation →

POS Engagement

In-Store Intelligence for Frontline Impact

Leverage real-time data at the point of sale to deliver smarter, personalized interactions. Nussknacker enables dynamic prompts based on cart contents, customer profiles, and store context - boosting upsell potential, customer satisfaction, and in-store experience quality.

Next Best Action →

Marketing Automation System

Always-on, Personalized Campaign Execution

Trigger real-time, behavior-based marketing campaigns without developer involvement. Nussknacker enables marketers to visually build, test, and deploy personalized promotions across omnichannel, improving targeting, speed, and engagement.

Marketing case study →

Real-Time Fraud Detection

Live Transactions Monitoring and Protection

Monitor transactions and behaviors in real time to detect fraud patterns instantly. Nussknacker applies streaming analytics and business rules to flag anomalies across payments, returns, and loyalty, helping reduce fraud losses and improve security.

Fraud detection →

Is Your Retail Strategy Real-Time Ready?

Stay ahead of shifting demand, customer expectations, and operational complexity with Nussknacker’s real-time decisioning platform. Empower your teams to act instantly - not eventually. Get in touch and discover how to turn your retail data into ROI today.