Snowflake：2025年零售与消费品行业数据趋势报告（英文版）（18页）.pdf

1、 DATA TRENDS 2025RETAIL AND CONSUMER GOODSHow leaders use data and AI to meet evolving consumer behaviors,optimize supply chain dynamics and more TABLE OF CONTENTSFROM POSSIBILITIES TO PRODUCTION:AI DRIVES BUSINESS VALUE.3TRENDS THAT MATTER IN RETAIL AND CONSUMER GOODS.5Trend 1:From brick-and-mortor

2、 to mobile and social commerce,consumer behaviors are rapidly evolving.6Trend 2:Evolving global trade dynamics and supply chain disruptions demand secure collaboration.7Trend 3:Digitization is key to operationalizing gen AI,along with ML and deep learning.8Trend 4:AI can help companies retool and up

3、skill the workforce.9Trend 5:Maximizing utility from documents,transcripts,images and other unstructured data.10THE STATE OF THE AI DATA CLOUD FOR RETAIL AND CONSUMER GOODS AI DATA CLOUD.11USING DATA SHARING AND COLLABORATION TO SOLVE CRITICAL BUSINESS CHALLENGES.13MAKING THE AI FUTURE A REALITY TOD

4、AY.16DATA TRENDS 2025:RETAIL AND CONSUMER GOODSTable of Contents|2 FROM POSSIBILITIES TO PRODUCTION:AI DRIVES BUSINESS VALUEOver the past few years,generative AI has become synonymous with promise,with potential what the technology would do,what it might achieve,the value that could be derived.The s

5、eemingly boundless possibilities ushered in exciting conversations,eye-catching headlines and a period of great experimentation,as retail and consumer goods companies pitched and explored ways to elevate customer experiences and streamline business operations.From hyper-personalized marketing and su

6、pply chain optimization to intelligent demand forecasting and dynamic pricing,AI has the power to transform every aspect of the value chain for retailers and consumer goods companies,unlocking new levels of agility in an increasingly competitive landscape.Now is the time to turn promise into perform