Five Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management
Unlocking efficiency and innovation across the product lifecycle
Five Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management
Unlocking efficiency and innovation across the product lifecycle
Siloed data and fragmented point solutions are no longer sustainable in today’s dynamic retail landscape. The future lies in centralized data and intelligent, connected systems powered by artificial intelligence and machine learning (AI/ML), including generative AI.
This research report in partnership with Coresight, outlines how leading brands and retailers are applying AI/ML to drive smarter decisions and streamline every stage of the product lifecycle.
Inside you’ll find:
- Five strategic areas where AI/ML is reshaping retail with insights on unlocking enterprise data for improved efficiency and profitability
- Survey findings from retail decision-makers on pricing innovation, lost sales due to out-of-stocks and allocation challenges—and forecasts of AI-driven retail revenue growth through 2030
- Consumer expectations around delivery and how they influence online purchasing behavior
Download this free report to see how brands and retailers are using AI to stay ahead!
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