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Changing business formats and adapting new technologies

General industry benefits

Today, any activity in the retail sector, whether brick and mortar or online, is generating an incessant amount of data, from storage and operational data to user-generated data. Using this information to your advantage will keep you on the right track.

Data management in retail generally benefits the internal process of the company, as well as external initiatives which contribute to the customer’s satisfaction.

Internally, data management improves the maintenance of the perfect stock level. Data insights allow us to predict consumer buying habits, rethink strategies and respond to changing demands.

In terms of external benefits, data management allows us to conduct personalised campaigns for customers, by analysing their demographic, location, and purchase behaviour data. This enables retailers to create the optimum customer experience, every time.

Use Case Retail

A Dutch supplier of data-driven retail and consumer goods inventory management software, automated replenishment, key item planning and advanced reporting.

The challenge:

Legacy SQL setup preventing flexible, demand-driven growth
Retailisation’s high-cost, high-maintenance legacy solutions were overwhelmed by increasing data volumes, generating unsustainable dependence on a handful of in-house developers and stunting potential growth.

The approach:

Upgrading the architecture landscape with Python and Apache Spark  
Leveraging a low-maintenance open-source framework puts an end to legacy system firefighting, enabling Retailisation to focus on delivering for its clients. Outsourcing end-to-end data services (from architecture and analysis to solution maintenance and technology roadmapping) safeguards Retailisation’s sustainability and adaptability. 

The results:

Flexible architecture primed for future growth, at a fraction of the cost
With a ground-up architecture rethink, nucleoo cut Retailisation’s operational IT costs by 85%. The new open-source architecture eliminates legacy system technical debt, seamlessly handling ever-increasing client data and primed for future additional functionalities.

Our take on this

“Today, focus in retail is on collecting data, and then using the conclusions obtained from the data analysis to improve the marketing- and customer service strategies. However the industry faces challenges such as lack of security and data privacy. Additionally, there is a lack of skilled analysts to decipher data and an inability of the companies to implement the insights gained from analytics into their business.”

Arnoud Krom


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