{"id":87124,"date":"2025-08-05T12:17:12","date_gmt":"2025-08-05T09:17:12","guid":{"rendered":"https:\/\/intellias.com\/?post_type=blog&p=87124"},"modified":"2025-11-19T17:11:44","modified_gmt":"2025-11-19T15:11:44","slug":"data-driven-retail-meeting-the-high-digital-demands","status":"publish","type":"blog","link":"https:\/\/intellias.com\/data-driven-retail\/","title":{"rendered":"Data-Driven Retail: Meeting the High Digital Demands"},"content":{"rendered":"

The retail industry is undergoing a fundamental shift from mass to micro<\/a> (in Deloitte\u2019s words). Motivated by the growing popularity of online shopping (which got a powerful boost during the pandemic), retailers are moving from stocking goods that meet mass demand to designing hyper-personalized offerings that please individual customers. The pandemic taught retailers that the secret to being more profitable was not supplying for the masses but rather understanding what makes each individual customer tick. What\u2019s more, the task now is for retailers to reach customers on the other side of the screen \u2014 while facing fierce competition.<\/p>\n

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The goal is to transform data into information and information into insight.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t\n\t\t\t\t\t CEO of Hewlett-Packard (1999-2005)<\/span><\/span>\n\t\t\t\t<\/div>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n

This is where data can make a difference. It gives retailers visibility into everything that is going on in their businesses, taking the guesswork out of customer relationships, inventory management, logistics, and pricing. Data enables targeted customer communications, helps to prevent stockouts, provides opportunities to optimize prices based on real-time conditions, and improves customer experience.<\/p>\n

\"Data<\/p>\n

For both in-store and online retail, data has become the main driver of decision-making. Businesses experiment with emerging technologies to achieve hyper-personalized customer interactions, practice proactive inventory management, and implement omnichannel commerce. Technology adoption rates have skyrocketed \u2014 for example, Salesforce reports<\/a> that 92% of retailers invest in artificial intelligence.<\/p>\n

While giving retail businesses a huge boost in their digital modernization efforts and enabling quality decision-making, data technologies also present certain challenges: integration with legacy systems, regulatory compliance, and employee skills gaps, to name a few. In this post, we discuss how retailers can overcome these challenges and turn data into a powerful growth driver.<\/p>\n

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Want to learn how digital retail solutions can future-proof your business?<\/p>\n

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<\/div>\n <\/div>\n <\/div>\n Learn more<\/span>\n\t\t <\/a><\/div>\n

What is data-driven decision making in retail?<\/h2>\n

Data-driven retail involves leveraging customer and operational data to make strategic decisions that enhance business outcomes. There are several ways to collect and use retail data.<\/p>\n

Collecting data from various customer touchpoints<\/h3>\n

Retailers gather vast amounts of data from multiple sources to gain an all-around understanding of consumer behavior and operational efficiency. Primarily, customer data comes from the following sources:<\/p>\n