Retail

At Applied Analytics we provide a suite of offerings in the Retail Services domain. We customise offerings from our Accredited Partners to provide you the most optimum solution for your domain. This ensures that your organisation is able to leverage on time tested technologies from marquee technology providers and for your specific needs. Applied Analytics takes has a flexible engagement structure involving:

• Customises Solutions Architecture
• Solutions Engineering
• DevOps
• Data preparation and Monitoring

A few representative use cases in Retail services:

Improve customer loyalty program

Customer loyalty is crucial to retail brands and maintaining stickiness of customers is the prime focus of a brand manager. While retail industry has been using analytics for decades, the current data gathering capabilities coupled with Data Analytics can provide improved quantitative and predictive insights that could positively impact investment planning.

Customer behavioural patterns

Conventional methodology of customer tracking can be refined based on the data points that are accessible through a variety of means that include user interaction patterns for online model and visitor footfall patterns in physical showrooms and outlets. The data captured is detailed and voluminous but current analytics technologies can provide deep insights into customer behaviour once the data is analysed.

Predictive Inventory management

Getting insights into customer behaviour patterns also provides indications that are predictive in nature and can help in better inventory management. Detailed geography specific data can provide useful insights into upcoming trends in a location, correlations with socio economic parameters. These go a long way in optimising inventory and more often than not help identify new brands and product lines.