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How to implement advanced data analytics in the retail industry?
How to implement advanced data analytics in the retail industry?
DATE: 12.04.2021 READING TIME: 2 min

Advanced data analysis in retail is not a futuristic curiosity reserved for leaders, but a necessity and natural stage of development. Companies that do not invest in AI-based technological solutions today, will have to do so tomorrow, in order not to fall out of the market.

3 people during the workshop

The use of Artificial Intelligence (AI) for data analysis is relatively cheap and business effective. Data analysis does not require investing in additional equipment in points of sale or in the machinery stock. Each company has data which potential can be used thanks to advanced AI algorithms. At relatively low outlays, you can quickly obtain real business benefits, which will have a concrete impact on building a competitive advantage.

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Kamil Folkert
Chief Technology Officer
3Soft S.A.

Companies that do not invest in AI-based technological solutions today, will have to do so tomorrow, in order not to fall out of the market.

From the perspective of using advanced data analysis in retail, it’s worth considering the implementation of solutions from this area even in a limited scope or in relation to a single business process. At the beginning, it is good to implement those business cases which can bring the greatest benefits at the lowest cost and at low risk. Contrary to appearances, as regards deriving business value from data collected by retailers, there are many such opportunities.

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Kamil Stryczek
Business Development Manager
3Soft S.A.

At the beginning, it is good to implement those business cases which can bring the greatest benefits at the lowest cost and at low risk.

We understand well the specifics of the retail industry and we know how to differentiate the needs of each sector. That is why we principally start the process of implementing Occubee with business and technology workshops. During the workshops we analyze the situation, identify opportunities in the business sense and determine which available data and processes can be optimized by using Artificial Intelligence.

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