Connected customers now define retail and consumer goods winners and losers. With data science and advanced analytics, you can better understand consumer sentiment and behavior. You can personalize the omnichannel shopping experience and tailor localized assortments. You can dynamically change prices and promotions. And you can enable agile fulfillment and supply chains.
Connected Customer Experience
Make every shopper experience feel personal and relevant. Digital technology lets you add ease, convenience, customization, personalization, and automation. You can enhance business processes and operations. You enable your teams to use connected customer data to improve engagement, traffic, conversion rates, upsell, and basket sizes.
Data democratization enables your teams to use all connected customer data to help drive better personalization, relevance, context, and perhaps more importantly, business results through improved engagement, traffic, conversion rates, upsell, and basket sizes.
White Paper: Using Big Data to Enable the Omnichannel Retail Experience Slideshare: Customer Experience Presentation Article: Cyber Monday and Big Data Article: AI and Mobile Tech in Retail
Connected Supply Chain & Fulfillment
Simply analyzing in-store POS data to forecast demand and fulfillment is not good enough. Today’s connected customers chip away at margins, especially when it comes to fulfillment. Smart retailers and brands rely on connected data from both internal and external demand signals to continually improve demand forecast accuracy and analytic model precision. The ability to optimize product staging locations and routes while minimizing markdowns and fulfillment costs is today's competitive differentiator.
Webinar: Bringing It Home: The Omni-Channel Fulfillment Opportunity White Paper: Bringing It Home: The Omni-Channel Fulfillment Opportunity
Consumers now expect personalized promotions and dynamic pricing both in store and online. A consumer-focused merchandising strategy lets you reshape assortment, new item introductions, and private label and brand strategies based upon connected customer demand for local, social, ethical, and environmental cause related attributes.
Article: Can Big Data Analytics in Retail Fuel a CPG Growth Spurt? Blog: Merchandising Analytic Capabilities Still Lagging for Many Blog: Big Data Sparked Retail Revolution
Use connected customer analytics to empower your associates. Use beacons, sensors, computer vision, and AI to enable in-store associates to better serve customers. Arm your call centers with heads-up insights about customer purchases and reviews to help guide resolution recommendations and upsell opportunities.
Blog: How Data Fuels the Breakneck Speed of Innovation Blog: Why the Customer is Always Right Now in Retail Blog: Big Data Analytics in Retail, IDC White Paper: How New Data Management Supports Retail Success
Connect physical assets like vehicles, HVAC, cold storage, cameras, and shelves to improve performance and reduce costs. Use streaming analytics to enhance productivity and connected customer engagement opportunities. Reduce fraud and shrink wastage by capturing and identifying “moment-of-truth” actions.
Article: How AI and Mobile Technology Are Changing Retail Blog: Data Has Sparked a Retail Revolution Article: Using Big Data for Financial Fraud Prevention Solution Sheet: Predictive Maintenance
LIXIL Corporation (LIXIL) is a leading company in the housing and building industry. It was incorporated in 2011 through a merger of five of Japan’s leading building materials and housing companies. Following the...
Apache, Hadoop, Falcon, Atlas, Tez, Sqoop, Flume, Kafka, Pig, Hive, HBase, Accumulo, Storm, Solr, Spark, Ranger, Knox, Ambari, ZooKeeper, Oozie, Phoenix, NiFi, Nifi Registry, HAWQ, Zeppelin, Slider, Mahout, MapReduce, HDFS, YARN, Metron and the Hadoop elephant and Apache project logos are either registered trademarks or trademarks of the Apache Software Foundation in the United States or other countries.