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Generative AI Boosts Retail Revenue

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# Generative AI Boosts Retail Revenue **Source:** [https://www.youtube.com/watch?v=wvv8vQz_6xo](https://www.youtube.com/watch?v=wvv8vQz_6xo) **Duration:** 00:05:01 ## Sections - [00:00:00](https://www.youtube.com/watch?v=wvv8vQz_6xo&t=0s) **IBM WatsonX for Retail & CPG** - The excerpt explains how generative AI is transforming consumer packaged goods and retail sectors and presents IBM’s WatsonX platform—featuring an AI studio, lake‑house data repository, and enterprise governance tools—to enable companies to build, deploy, and responsibly manage AI solutions for product innovation, supply‑chain efficiency, and personalized shopping experiences. ## Full Transcript
0:00generative AI has arrived with the 0:02potential to revolutionalize the 0:03consumer package goods and Retail 0:05industries from enhanced product 0:07development and supply chain efficiency 0:10to personalize shopping experiences and 0:12datadriven decision-making AI is 0:15redefining the way companies operate and 0:17compete and serve their customers 0:19according to IBM's latest CEO study 0:21industry leaders are increasingly 0:23focused on AI Technologies to drive 0:25Revenue growth in fact 42% of retail 0:28CEOs and 59% to consumer product CEOs 0:31are banking on AI Technologies like 0:33generative AI deep learning and machine 0:35learning to drive results over the next 0:373 years so how can cpg and Retail 0:40businesses not only use AI but also 0:43create value with it to truly stand out 0:44from the 0:45competition IBM's answer is Watson X our 0:49Enterprise ready Ai and data platform 0:52which helps business to capitalize on 0:53the opportunities of generative Ai and 0:56foundational models in three ways Watson 0:59X . a is a Next Generation Enterprise 1:02studio for AI Builders to train validate 1:05tune and deploy both traditional machine 1:08learning and new generative AI 1:09capabilities powered by foundational 1:11models through an open and intuitive 1:13user interface what's the next. data is 1:17our data repository based on a Lakehouse 1:19architecture and an open data format 1:21designed to manage Enterprise data for 1:23foundation models with trust and 1:26confidence whatson x.g governance is a 1:29powerful set of tools to specify and 1:30manage enterprise-wide governance 1:32processes and control risk the wonx 1:35platform has been developed in line with 1:37four core and differentiating 1:40beliefs open IBM's AI is based on the 1:44best open Technologies available trusted 1:48IBM as AI is responsible and 1:50governed targeted IBM's AI is designed 1:53for the Enterprise and targeted for 1:55business domains empowering IBM's AI is 1:58for Value creators not just users at IBM 2:02we're not starting from Ground Zero our 2:04company has a rich history of leveraging 2:05AI in the consumer package goods and 2:07Retail sectors to drive innovation in 2:10product design supply chain optimization 2:13and Trend forecasting building on this 2:15history we understand that generative AI 2:17holds a tremendous potential for 2:19economic impact Research indicates that 2:21applying generative AI across a series 2:24of use cases can boost productivity for 2:26Consumer package Goods organizations and 2:28Retail businesses 2:30driving incremental revenue of 400 to 2:33600 billion annually for the industry 2:36globally investing inative AI has the 2:39potential to yield significant business 2:40benefits but where can these 2:42technologies have the greatest impact 2:44according to IBM's recent CEO study the 2:46top priority for these industries are 2:49customer care cyber security research 2:52Innovation supply chain Logistics and 2:56fulfillment let's delve into some IBM 2:58examples we we a a company in marketing 3:01content creation streamlining the 3:03process with AI generated text and 3:05images enabling quick and easy promotion 3:07creation we enhance customer service for 3:10another company by leveraging AI to sort 3:12and process emails identifying sentiment 3:16validating information and rooting 3:18requests efficiently generative AI can 3:21predict the next word in a paragraph 3:23This same sentiment can be applied to 3:25data which AIDS in demand forecasting 3:27we've helped a company use generative AI 3:29to solve sales forecasts demand planning 3:33Inventory management and waste forecast 3:35by understanding the relationship 3:37between performance and causality and 3:40dependencies from many different aspects 3:42we are seeing exceptional results when 3:44applying generative AI approaches to 3:46forecasting with over 250% performance 3:50increases in forecast accuracy when 3:52compared to other widely used machine 3:54learning models we also see the 3:56opportunity to apply generative AI 3:58capabilities such such as summarization 4:01conversational knowledge and content 4:03creation to augment supply chain 4:05planners accelerate issue identification 4:07and resolution thus avoiding costs and 4:10availability issues additionally we are 4:12enabling client teams from Finance 4:14supply chain operations sales marketing 4:18and other areas to talk to their 4:20Enterprise and external data and rapidly 4:23understand performance what events are 4:25driving sales what products are 4:27delivering margin where are their risks 4:29to availability which customer cohorts 4:32are engaged and so on allowing rapid 4:35intuitive insights to be gathered and 4:36acted upon IBM is committed to helping 4:39the retail and cpg industries to unleash 4:42the transformative potential of 4:43foundational models and generative AI 4:46with IBM you're not just an AI user 4:49you're an AI value Creator let's embrace 4:52the age of AI value creation 4:58together