Despite having numerous installed visitor trackers, interactive kiosk systems or digital signage solutions, the data is usually not effectively used or analysed. The digital touchpoints in a classic store are not networked with each other, resulting in many data islands.

Our approach is to network all information from the retail environment. We integrate relevant data records from a wide variety of systems. By fully utilising the existing POS data, you are able to further optimise the customer journey and obtain in-depth insights. You can thus make full use of the possibilities of digital retail solutions.

• Passers-by and visitor key figures
• Customer paths and return customers
• Product interactions and assortment preferences
• Loyalty card data (after corresponding GDPR-compliant release)
• Inventory levels and sales probabilities

• Shopping cart and interaction data from the online store
• Current social media trends
• Location and weather conditions
• Market price changes
• And much more...

E-commerce has numerous tools at its disposal for effectively analysing the online customer journey. This is more complicated at the POS, because it isn’t as simple as setting cookies online. The key is our biscuit data platform.

The platform brings all relevant information together. It is the prerequisite and crucial tool for the omnichannel concept: data from all sales channels is linked and combined with external influencing factors.

Biscuit collects data, analyses it and gives commands to the output systems. The platform is based on two core features:

1. Analysis and forecast of customer behaviour on the basis of historical data, and
2. Event-based control of digital POS solutions in real time.

These data help retailers and manufacturers to substantiate complex economic interactions in order to make better decisions and gain a competitive advantage. There is no need of time-consuming manual controls of digital signage content, price changes or staff calls anymore. Your digital touchpoints at the point of sale receive automated and event-based triggers.

► Currently with over 500,000 user-generated events per day

• Open platform: real-time connection of present and external systems via API
• Data lake: secure storage and streaming of all relevant information
• Artificial intelligence: automated and efficient evaluation of data using algorithms

• Machine learning: measuring the success of every generated event increases the system's knowledge and therefore fine-tunes the control system
• Predictive analytics: calculating probability of events based on customer and purchasing behaviour of previous years