HOW IT WORKS

RetailerIN uses the best-in-class RTLS (Real-Time Locating system) technologies to extract knowledge on what is happening inside your store, starting from the tracking of shopping carts and baskets.

Any data collected by RetailerIN is anonymized and fully preserves the privacy of customers.

RetailerIN integrates with a number of data sources such as Point of Sale data, Staffing Schedules, etc.

All RetailerIN products are CE/FCC certified.

RetailerIN scalable data processing infrastructure is specifically designed to analyze in real-time large volumes of data coming from one or multiple stores.

Data is elaborated through proprietary algorithms in order to compute the necessary KPIs on customer behaviour.

Data (both raw and processed) is stored for current and future use. The infrastructure can run in the cloud in order to ensure the necessary performance and availability, but also on premise.

A interactive dashboard provides access to analytics and KPIs on customer behaviour to explore the data elaborated by RetailerIN.

The dashboard is accessible through the Web or any mobile device.

It provides advanced analytics on flows, traffic patterns, dwell times, waiting times at check-outs and integration of each shopping journey with POS data that enable category, marketing and store managers to set strategy and make operational decisions.

A/B testing techniques can be used to test and fully understand the effectiveness of different store layouts and product placement in terms of customer behaviour (e.g. increased traffic and dwell time) and sales.

RetailerIN technology supports in-store marketing campaigns to engage with shoppers, based on the real-time customers’ location inside the supermarket.

This includes in-store navigation, personalized location-based content delivery, promo notifications and gamification.

HOW IT WORKS: GROCERY STORES.

Starting from the high-precision tracking of shopping carts and baskets (with sub-meter accuracy), RetailerIN analyses how customers move inside a grocery store and interact with products.

The information is processed, using cutting-edge big data tools and proprietary methods, to extract relevant indicators and objective metrics on in- store customer behavior, including footfall levels, flows, movement patterns, dwell time, POS integration and queue analytics. These indicators and metrics are then used to build visual analytics dashboards for category managers, marketing departments and also store managers, helping them to optimize product placements, to measure the effectiveness of store layouts and to improve staff management.

HOW IT WORKS

HOW IT WORKS: GROCERY STORES.

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