RIS News – Challenged at one end by digital behemoths and at the other by nimble, born-in-the-cloud startups, retailers and consumer goods companies are under tremendous pressure to deliver exceptional, personalized customer experiences that drive revenue and repeat business. The emergence of an analytics arms race has forced companies to find ways to expend their limited resources on technologies and applications they believe will deliver the most bang for the buck.
As retail and CG executives seek to build their analytics infrastructure, governance and talent pools, they must also rethink internal processes and shift their cultures toward an analytics mindset. And even as they gain capabilities, new market demands emerge that continually raise the bar ever higher.
But the analytics marketplace is also evolving rapidly, offering new capabilities such as artificial intelligence and machine learning, supported by cloud architecture, that carry the potential to turbocharge analytics programs. These not only discern data patterns more quickly, but sometimes even generate their own algorithms to further fine-tune output.
Comments from Ken Morris, Principal, BRP:
“While advanced analytics are valuable for almost all areas of retail, they are most critical for replenishment and customer personalization,” says Ken Morris, principal at BRP Consulting. “Advanced analytics are necessary to predict inventory levels across channels that are complicated by omnichannel fulfillment.”
Although analytics is important to every aspect of retailing, “You can’t over-emphasize the customer aspect of analytics, as it is imperative,” says Morris. “Understanding what loyal customers like and what makes former loyal customers leave will tell you where you need to focus.”
“Retailers are recognizing the value of centralizing applications in the cloud: speed of deployment, faster software updates, lower software, hardware and maintenance costs, and a realtime, single version of the truth,” says Morris. “Real-time visibility and access to product and customer information is critical to effectively executing cross-channel fulfillment services. Without real-time data, information provided internally and externally is out-of-date and, therefore, risks being inaccurate and out of context.”
Read Full Article: Retail and Consumer Goods Analytics Study 2018: May the Best Insights Win