Retail

Efficiency, Personalization, and Traceability for Your Physical Stores

The retail sector is undergoing a digital revolution, driven by the need to deliver personalized customer experiences and optimize in-store operations.
Thinkin leverages IoT and RTLS technologies to help retailers enhance store management efficiency, increase sales, and transform store operations—ensuring a fully personalized customer journey.

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Turn Your Store into a Physical E-Commerce Experience.

What We Do?

Thinkin empowers the Retail sector with RetailerIN®—a platform that creates the digital twin of the physical store, making it measurable, optimizable, and interactive—just like an e-commerce.
The digital twin delivers advanced services to support in-store customer behavior analysis, operational efficiency, and personalized marketing.

Starting from the tracking of shopping carts, baskets, or smartphones with a dedicated mobile app, RetailerIN maps the entire customer journey—turning the physical store into a data-rich, interactive environment.

 

RetailerIN® is a retail asset tracking solution that meets the needs of multiple business functions—both at the chain strategy level and individual store operations—offering data and services that support:

  • Merchandising and Category Managers: with strategic decision-making based on shopping path analytics covering over 95% of in-store customers.

  • Store Managers: by automating and optimizing tasks such as queue management at checkouts and service counters.

  • Marketing Managers: by interacting with customers in real time through their smartphones, delivering content and services based on precise in-store location (with 50 cm accuracy).

Why Choose Us?

Because Thinkin combines cutting-edge IoT and RTLS technologies with over 10 years of field experience to deliver real, measurable value.
Our solutions are modular, scalable, and fully customizable—designed to integrate seamlessly with your existing systems and processes.
We help you gain full control over your operations, improve efficiency, and make smarter, data-driven decisions every day.

ANALYZE IN-STORE SHOPPING BEHAVIOR

Track customer journeys from entry to checkout, measuring interactions with products and categories, and identifying the most engaging items.

OPTIMIZE STORE LAYOUT USING TRAFFIC DATA

Validate and reorganize the placement of products and categories based on actual customer flows, foot traffic in different store areas, and category strategy—enhancing visibility, conversion rates, and profit margins.

MANAGE QUEUES AND STAFF IN REAL TIME

Prevent checkout queues and optimize staff allocation by continuously monitoring critical store areas, entrance flows, and checkout activity.

PERSONALIZE THE IN-STORE SHOPPING EXPERIENCE

Engage visitors in a precise and personalized way by sending geolocated content, offers, and services directly to their smartphones—enhancing and supporting their in-store experience.

Our Retail Solutions

Turn your stores into measurable, optimizable, and data-driven spaces... just like an e-commerce!
Thinkin gives you complete visibility and in-depth analysis of in-store customer flows—from entry to checkout.
Its intelligence engine allows you to analyze the full purchase journey and gain key insights to rethink your layout, optimize merchandising strategies, and increase margin per square meter.

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Personalize the shopping experience in real time, right inside the store.
With Thinkin, you can engage customers as they shop by sending targeted promotions and geolocated content—boosting both engagement and conversions.

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Monitor Conditions in Real Time and Boost Operational Efficiency
With Thinkin, you can control temperature, environments, and critical activities to ensure product quality, food safety, and service continuity.

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Seamless Integration with Your Existing Systems

The RetailerIN® platform integrates seamlessly with existing management software, including POS systems.
Thanks to a proprietary AI-based algorithm, we can match in-store shopping sessions with the corresponding receipts—with 99% accuracy.
This enables integrated analysis of foot traffic alongside sales and conversion data, providing deep insights into in-store dynamics and uncovering the reasons behind missed opportunities or underperforming categories.

In-Store Intelligence: From Behavior Analysis to Store Optimization

A/B Testing in the Physical World: Optimize Sales and Store Layout

Shopping cart tracking and sales data analysis allow retailers to test different strategies to optimize store performance.
Through targeted A/B testing, it's possible to assess the impact of various cart and basket formats on average spend, experiment with new department and category placements, and analyze in-store traffic flows to enhance the shopping journey.

These tests enable data-driven decisions, reducing operational costs and maximizing space efficiency.
In one real-world example, optimizing the cart/basket mix generated a $10 million impact at the enterprise level—by improving space management and increasing conversion rates.

 

 

Category Conversion Analysis: Sell More, Smarter

Analyzing customer behavior inside the store helps identify which product categories attract the most visitors and which ones convert best into purchases.
By tracking foot traffic and dwell time in specific store areas, retailers can pinpoint top-performing categories and those that require better positioning.

By studying the conversion rate between visits to a department and actual purchases, it becomes possible to reorganize space—boosting visibility for underperforming products and maximizing cross-selling opportunities.
This strategy enables more effective category distribution, ultimately optimizing the store’s overall profitability.

 

 

Endcap and Promotional Area Optimization

Endcaps and promotional areas are strategic points to drive sales—but their success depends on location and visibility.
Thinkin enables you to monitor foot traffic and dwell time in promotional zones, measuring product placement effectiveness and comparing different display strategies.

Through data analysis, you can identify the best-performing endcaps and optimize their use to maximize conversion rates.
Data-driven strategies have led to a 3% increase in high-margin product sales, proving how intelligent placement analysis can significantly enhance promotional performance.

How RetailerIN® Works

 

  1. In-Store Tracking with RTLS
    Customer movements are captured using a Real-Time Locating System (RTLS). The system includes ceiling-mounted antennas and small TAG devices attached to shopping carts or baskets.
    Tracking can also extend to smartphones equipped with a dedicated mobile app (e.g., the retailer’s own app).

  2. Data Collection and AI Processing
    Positioning data is recorded by the RetailerIN® platform, enriched with contextual information, and processed by proprietary, patented AI algorithms.
    The results are visualized through an online dashboard with customizable reports—or integrated into third-party systems.

  3. Seamless Integration and APIs
    RetailerIN® offers a robust set of APIs for smooth integration with existing in-store services.
    The platform connects easily with ERP systems and POS software, ensuring a continuous data flow for optimized store management.

 

Our Success Stories