Retail Analytics Solutions based on Big Data
Our Retail Analytics Solutions combine data from different internal, external, and alternative sources, providing in-depth consumer, competitor, and market analysis and diagnostics that derive meaningful insights to make and support better and faster strategic decision-making.
Improve your business strategies
Optimize your operations
Transform your customer experience
What is Retail Analytics?
Retail analytics is a process that involves the collection, analysis, and interpretation of data generated by a retailer’s operations.
Data from retail analytics comes from different sources, including point-of-sale (POS) systems, customer purchase histories, in-store interactions, and even foot traffic patterns.
By effectively utilizing this information, retailers can gain valuable insights into customer behavior, purchasing trends, competitors’ influence, site expansion, and overall store performance.
Why your brand should use Retail Analytics Solutions?
Retail analytics eliminates guesswork from key decisions, considering that even the most experienced retail executives must navigate many internal and external data points, such as user mobility, product sales data, demographic preferences, and POI visitation.
Analytics helps retailers synthesize such data analysis and allows them to anticipate future trends and identify untapped opportunities.
For example, a clothing retailer can use data analytics to decide the best areas to place new stores in an uncovered city based on visitation insights, user preferences, and other factors.
Marketing Intelligence
Operations & Logistics
Predictive Retail Analytics
Retail Site Selection
Customer Analytics
Competitor Analysis
Are you prepare for the future of Retail Analytics Solutions?
According to Oracle, retail analytics solutions are expected to increase in the upcoming years. However, it is anticipated to become less visible and discussed as users and applications will utilize analytics continuously, often without even realizing it. This is similar to how smartphones constantly use location tracking to meet users’ needs quickly.
For business users, retail analytics is expected to become less about generating or reviewing weekly reports. Instead, it will become more integrated into their daily workflows. Furthermore, more people will have access to the benefits of AI in their regular business activities without being aware of it.
"With PREDIK Data-Driven we found a reliable, accessible and easy methodology
to evaluate locations for our developments. We have opened two and the results are in line with expectations.
In addition, very good attention and customer service.”
Marketing Director, Boston´s Pizza Mexico
Fortune 500 companies trust us
Let our expert team help you with your business data needs
Schedule a 30-minute meeting with one of our data experts to understand how can we work together and develop the perfect Big Data solutions for your organization.
Our solutions have helped some of the most important corporations in the US, Europe, Latin America, and Asia Pacific.