As the internet has democratized data, consumers have become accustomed to instant answers and the multitude of options offered through digital marketplaces. Shoppers now expect more regular product refreshes, up-to-date information on availability, a wider variety of tailored products, and the ability to shop anywhere, at any time. Additionally, viral social media posts are legendary for creating buying frenzies \u2013 or the opposite: squashing demand quickly. \u00a0<\/p>\n
This environment is vastly different from the pre-digital era, where information in the marketplace was fragmented and worked to the retailer\u2019s advantage. Comparison shopping required significantly more time and effort than scrolling through options online. This imbalance also allowed retailers to push products to the consumer, a model that was cyclical and relatively predictable. Consumers\u2019 expectations matched the slower pace of new product creation, and comparatively long lead times in the supply chain were acceptable.\u00a0<\/p>\n
Today, however, complex globalized retail supply chains run by legacy systems are feeling the pains of this faster pace and the need for a broader range of choices. How can retail supply chains increase their responsiveness and meet consumers\u2019 expectations?\u00a0<\/p>\n
Understanding the consumer in detail \u2013 to be able to better forecast product and inventory needs \u2013 is one key to success. Artificial intelligence (AI), with its business intelligence and analytics applications and cognitive services, can help retailers achieve more specificity in data. It allows them to analyze consumer behavior with more granularity than ever \u2013 potentially to the level of consumer segments of one. AI also can be used to target consumers more accurately with personalized offers \u2013 necessary to compete in an era of mass personalization \u2013 which can lead to better conversion and more predictable sales. \u00a0<\/p>\n
Another key to success is responsiveness. When viral trends or other unanticipated events create spikes in demand, machine learning draws real-time insights and recommends actions, based on evidence, faster than any human. It takes data-driven decision making to a new level, one that is crucial to support a nimble supply chain in an ever-changing marketplace.\u00a0<\/p>\n
See intelligent supply chain innovation at NRF 2018<\/strong><\/p>\n At Microsoft Enterprise Services, we understand the challenges of Digital Transformation and can help you leverage the capabilities of AI and machine learning to improve the responsiveness of your supply chain.<\/p>\n In our Microsoft Booth #2803 at NRF 2018, you can wander through our simulated supply chain environment for a street-level look at the real possibilities of intelligent technology to create consumer-centric supply chains. You\u2019ll see how Microsoft innovations like Cortana Intelligence Suite solutions power advanced analytics and predictive capabilities to enable retailers to gather insights on shoppers\u2019 demographics and preferences, improve customer service and response time, optimize forecasting and inventory levels, personalize offerings, and better manage their supply chains to accommodate customer demand.<\/p>\n We look forward to seeing you at this year\u2019s event!<\/p>\n","protected":false},"excerpt":{"rendered":" At NRF 2018, learn how Microsoft can help retailers use the capabilities of AI and machine learning to improve the responsiveness of their supply chains. <\/p>\n","protected":false},"author":147,"featured_media":10759,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"categories":[1501],"post_tag":[],"content-type":[1483],"coauthors":[1192],"class_list":["post-2919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-retail","content-type-thought-leadership"],"yoast_head":"\n