Data Science Use Cases: Retail [Guide]

Unlock the value of your data by harnessing the power of data science…

The retail industry has long recognised the value of data when it comes to understanding their customer base, and the use of business intelligence tools to report on activity is common in most retail companies.

Data science helps take this business intelligence approach one step further. It provides retailers with actionable insights that not only help drive sales but also help reduce waste, improve buying accuracy and enhance the customer experience both in-store and online.

However, this is often easier said than done, as most businesses don’t have the capacity or specialist skills to use their own data to create opportunities for competitive advantage.

At Daisy, we help retail businesses explore and implement data science and analytics platforms to get real value out of their data. We use techniques including machine learning models to identify trends, highlight anomalies and predict future outcomes.


Talk to one of our specialists.
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0344 863 3000