Analytics for Merchandising
and Marketing Decisions

Deploy Data Science to Improve Merchandising and Marketing Decisions


The ecommerce revolution has led to the rise of the digital shopper. The data deluge on account of digital footprints has brought with it its own set of opportunities and challenges. While there is an opportunity to understand consumers better with numerous retail analytics tools, it's not easy and we are not there yet. While sophisticated algorithms and cloud computing have helped in automating certain decisions and actions, there are many that still require human intervention.

It all starts with asking the right questions. While newer data sources and technologies are available, human expertise is required to determine the problem, outline analysis frames, make meaning of the results, and guide decisions in several cases.

Competitive intelligence and retail analytics have proven to be more effective than conventional approaches of small sample, batch process insights. It is also the only way of solving new emerging problems.

Merchandising and marketing departments deploy Ugam’s Retail Analytics services to gain better yields on their category and make better marketing decisions.

Ugam’s Analytics services help them:
  • Support problem formulation
  • Dive deep into understanding the “whats” and the “whys”
  • Uncover “what-if” scenarios, with simulators and data-modeling capabilities
  • Use predictive analytics to understand "what's next?”

Our analytics services are uniquely comprised of multidisciplinary data science teams that bring together deep domain knowledge, advanced analytics capabilities, and technology.


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Deploy Data Science to Improve Merchandising and Marketing Decisions

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